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163 changed files with 1655 additions and 3104 deletions

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@ -5,7 +5,6 @@ include: "rules/common.smk"
include: "rules/renv.smk" include: "rules/renv.smk"
include: "rules/preprocessing.smk" include: "rules/preprocessing.smk"
include: "rules/features.smk" include: "rules/features.smk"
include: "rules/models.smk"
include: "rules/reports.smk" include: "rules/reports.smk"
import itertools import itertools
@ -395,17 +394,6 @@ if config["HEATMAP_PHONE_DATA_YIELD_PER_PARTICIPANT_PER_TIME_SEGMENT"]["PLOT"]:
if config["HEATMAP_FEATURE_CORRELATION_MATRIX"]["PLOT"]: if config["HEATMAP_FEATURE_CORRELATION_MATRIX"]["PLOT"]:
files_to_compute.append("reports/data_exploration/heatmap_feature_correlation_matrix.html") files_to_compute.append("reports/data_exploration/heatmap_feature_correlation_matrix.html")
# Data Cleaning
for provider in config["ALL_CLEANING_INDIVIDUAL"]["PROVIDERS"].keys():
if config["ALL_CLEANING_INDIVIDUAL"]["PROVIDERS"][provider]["COMPUTE"]:
files_to_compute.extend(expand("data/processed/features/{pid}/all_sensor_features_cleaned_" + provider.lower() +".csv", pid=config["PIDS"]))
for provider in config["ALL_CLEANING_OVERALL"]["PROVIDERS"].keys():
if config["ALL_CLEANING_OVERALL"]["PROVIDERS"][provider]["COMPUTE"]:
files_to_compute.extend(expand("data/processed/features/all_participants/all_sensor_features_cleaned_" + provider.lower() +".csv"))
# Demographic features
files_to_compute.extend(expand("data/raw/baseline_merged.csv"))
files_to_compute.extend(expand("data/raw/{pid}/participant_baseline_raw.csv", pid=config["PIDS"]))
rule all: rule all:
input: input:

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@ -3,7 +3,7 @@
######################################################################################################################## ########################################################################################################################
# See https://www.rapids.science/latest/setup/configuration/#participant-files # See https://www.rapids.science/latest/setup/configuration/#participant-files
PIDS: ['p031', 'p032', 'p033', 'p034', 'p035', 'p036', 'p037', 'p038', 'p039', 'p040', 'p042', 'p043', 'p044', 'p045', 'p046', 'p049', 'p050', 'p052', 'p053', 'p054', 'p055', 'p057', 'p058', 'p059', 'p060', 'p061', 'p062', 'p064', 'p067', 'p068', 'p069', 'p070', 'p071', 'p072', 'p073', 'p074', 'p075', 'p076', 'p077', 'p078', 'p079', 'p080', 'p081', 'p082', 'p083', 'p084', 'p085', 'p086', 'p088', 'p089', 'p090', 'p091', 'p092', 'p093', 'p106', 'p107'] PIDS: [nokia_0000003]
# See https://www.rapids.science/latest/setup/configuration/#automatic-creation-of-participant-files # See https://www.rapids.science/latest/setup/configuration/#automatic-creation-of-participant-files
CREATE_PARTICIPANT_FILES: CREATE_PARTICIPANT_FILES:
@ -67,12 +67,12 @@ PHONE_ACCELEROMETER:
CONTAINER: accelerometer CONTAINER: accelerometer
PROVIDERS: PROVIDERS:
RAPIDS: RAPIDS:
COMPUTE: False COMPUTE: True
FEATURES: ["maxmagnitude", "minmagnitude", "avgmagnitude", "medianmagnitude", "stdmagnitude"] FEATURES: ["maxmagnitude", "minmagnitude", "avgmagnitude", "medianmagnitude", "stdmagnitude"]
SRC_SCRIPT: src/features/phone_accelerometer/rapids/main.py SRC_SCRIPT: src/features/phone_accelerometer/rapids/main.py
PANDA: PANDA:
COMPUTE: False COMPUTE: True
VALID_SENSED_MINUTES: False VALID_SENSED_MINUTES: False
FEATURES: FEATURES:
exertional_activity_episode: ["sumduration", "maxduration", "minduration", "avgduration", "medianduration", "stdduration"] exertional_activity_episode: ["sumduration", "maxduration", "minduration", "avgduration", "medianduration", "stdduration"]
@ -215,7 +215,7 @@ PHONE_CONVERSATION: # TODO Adapt for speech
# See https://www.rapids.science/latest/features/phone-data-yield/ # See https://www.rapids.science/latest/features/phone-data-yield/
PHONE_DATA_YIELD: PHONE_DATA_YIELD:
SENSORS: [#PHONE_ACCELEROMETER, SENSORS: [PHONE_ACCELEROMETER,
PHONE_ACTIVITY_RECOGNITION, PHONE_ACTIVITY_RECOGNITION,
PHONE_APPLICATIONS_FOREGROUND, PHONE_APPLICATIONS_FOREGROUND,
PHONE_APPLICATIONS_NOTIFICATIONS, PHONE_APPLICATIONS_NOTIFICATIONS,
@ -468,10 +468,9 @@ FITBIT_STEPS_INTRADAY:
RAPIDS: RAPIDS:
COMPUTE: False COMPUTE: False
FEATURES: FEATURES:
STEPS: ["sum", "max", "min", "avg", "std", "firststeptime", "laststeptime"] STEPS: ["sum", "max", "min", "avg", "std"]
SEDENTARY_BOUT: ["countepisode", "sumduration", "maxduration", "minduration", "avgduration", "stdduration"] SEDENTARY_BOUT: ["countepisode", "sumduration", "maxduration", "minduration", "avgduration", "stdduration"]
ACTIVE_BOUT: ["countepisode", "sumduration", "maxduration", "minduration", "avgduration", "stdduration"] ACTIVE_BOUT: ["countepisode", "sumduration", "maxduration", "minduration", "avgduration", "stdduration"]
REFERENCE_HOUR: 0
THRESHOLD_ACTIVE_BOUT: 10 # steps THRESHOLD_ACTIVE_BOUT: 10 # steps
INCLUDE_ZERO_STEP_ROWS: False INCLUDE_ZERO_STEP_ROWS: False
SRC_SCRIPT: src/features/fitbit_steps_intraday/rapids/main.py SRC_SCRIPT: src/features/fitbit_steps_intraday/rapids/main.py
@ -582,57 +581,3 @@ HEATMAP_FEATURE_CORRELATION_MATRIX:
CORR_THRESHOLD: 0.1 CORR_THRESHOLD: 0.1
CORR_METHOD: "pearson" # choose from {"pearson", "kendall", "spearman"} CORR_METHOD: "pearson" # choose from {"pearson", "kendall", "spearman"}
########################################################################################################################
# Data Cleaning #
########################################################################################################################
ALL_CLEANING_INDIVIDUAL:
PROVIDERS:
RAPIDS:
COMPUTE: True
IMPUTE_SELECTED_EVENT_FEATURES:
COMPUTE: True
MIN_DATA_YIELDED_MINUTES_TO_IMPUTE: 0.33
COLS_NAN_THRESHOLD: 0.3 # set to 1 to disable
COLS_VAR_THRESHOLD: True
ROWS_NAN_THRESHOLD: 1 # set to 1 to disable
DATA_YIELD_FEATURE: RATIO_VALID_YIELDED_HOURS # RATIO_VALID_YIELDED_HOURS or RATIO_VALID_YIELDED_MINUTES
DATA_YIELD_RATIO_THRESHOLD: 0.3 # set to 0 to disable
DROP_HIGHLY_CORRELATED_FEATURES:
COMPUTE: False
MIN_OVERLAP_FOR_CORR_THRESHOLD: 0.5
CORR_THRESHOLD: 0.95
SRC_SCRIPT: src/features/all_cleaning_individual/rapids/main.R
ALL_CLEANING_OVERALL:
PROVIDERS:
RAPIDS:
COMPUTE: True
IMPUTE_SELECTED_EVENT_FEATURES:
COMPUTE: True
MIN_DATA_YIELDED_MINUTES_TO_IMPUTE: 0.33
COLS_NAN_THRESHOLD: 0.3 # set to 1 to disable
COLS_VAR_THRESHOLD: True
ROWS_NAN_THRESHOLD: 1 # set to 1 to disable
DATA_YIELD_FEATURE: RATIO_VALID_YIELDED_HOURS # RATIO_VALID_YIELDED_HOURS or RATIO_VALID_YIELDED_MINUTES
DATA_YIELD_RATIO_THRESHOLD: 0.3 # set to 0 to disable
DROP_HIGHLY_CORRELATED_FEATURES:
COMPUTE: False
MIN_OVERLAP_FOR_CORR_THRESHOLD: 0.5
CORR_THRESHOLD: 0.95
SRC_SCRIPT: src/features/all_cleaning_overall/rapids/main.R
########################################################################################################################
# Analysis Workflow Example #
########################################################################################################################
PARAMS_FOR_ANALYSIS:
BASELINE:
FOLDER: data/external/baseline
CONTAINER: [results-survey637813_final.csv, # Slovenia
results-survey358134_final.csv, # Belgium 1
results-survey413767_final.csv # Belgium 2
]
FEATURES: [age, gender]
CATEGORICAL_FEATURES: [gender]

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@ -1,2 +1,2 @@
label,start_time,length,repeats_on,repeats_value label,start_time,length,repeats_on,repeats_value
daily,04:00:00,23H 59M 59S,every_day,0 daily,03:59:59,23H 59M 59S,every_day,0

1 label start_time length repeats_on repeats_value
2 daily 04:00:00 03:59:59 23H 59M 59S every_day 0

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@ -1,6 +1,6 @@
label,start_time,length,repeats_on,repeats_value label,start_time,length,repeats_on,repeats_value
threeday,00:00:00,2D 23H 59M 59S,every_day,0 threeday,00:00:00,2D 23H 59M 59S,every_day,0
daily,00:00:00,23H 59M 59S,every_day,0 daily, 00:00:00,23H 59M 59S, every_day, 0
morning,06:00:00,5H 59M 59S,every_day,0 morning,06:00:00,5H 59M 59S,every_day,0
afternoon,12:00:00,5H 59M 59S,every_day,0 afternoon,12:00:00,5H 59M 59S,every_day,0
evening,18:00:00,5H 59M 59S,every_day,0 evening,18:00:00,5H 59M 59S,every_day,0

1 label start_time length repeats_on repeats_value
2 threeday 00:00:00 2D 23H 59M 59S every_day 0
3 daily 00:00:00 23H 59M 59S every_day 0
4 morning 06:00:00 5H 59M 59S every_day 0
5 afternoon 12:00:00 5H 59M 59S every_day 0
6 evening 18:00:00 5H 59M 59S every_day 0

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@ -1,92 +0,0 @@
Data Cleaning
=============
The goal of this module is to perform basic clean tasks on the behavioral features that RAPIDS computes. You might need to do further processing depending on your analysis objectives. This module can clean features at the individual level and at the study level. If you are interested in creating individual models (using each participant's features independently of the others) use [`ALL_CLEANING_INDIVIDUAL`]. If you are interested in creating population models (using everyone's data in the same model) use [`ALL_CLEANING_OVERALL`]
## Clean sensor features for individual participants
!!! info "File Sequence"
```bash
- data/processed/features/{pid}/all_sensor_features.csv
- data/processed/features/{pid}/all_sensor_features_cleaned_{provider_key}.csv
```
### RAPIDS provider
Parameters description for `[ALL_CLEANING_INDIVIDUAL][PROVIDERS][RAPIDS]`:
|Key                              | Description |
|----------------|-----------------------------------------------------------------------------------------------------------------------------------
|`[COMPUTE]` | Set to `True` to execute the cleaning tasks described below. You can use the parameters of each task to tweak them or deactivate them|
|`[IMPUTE_SELECTED_EVENT_FEATURES]` | Fill NAs with 0 only for event-based features, see table below
|`[COLS_NAN_THRESHOLD]` | Discard columns with missing value ratios higher than `[COLS_NAN_THRESHOLD]`. Set to 1 to disable
|`[COLS_VAR_THRESHOLD]` | Set to `True` to discard columns with zero variance
|`[ROWS_NAN_THRESHOLD]` | Discard rows with missing value ratios higher than `[ROWS_NAN_THRESHOLD]`. Set to 1 to disable
|`[DATA_YIELD_FEATURE]` | `RATIO_VALID_YIELDED_HOURS` or `RATIO_VALID_YIELDED_MINUTES`
|`[DATA_YIELD_RATIO_THRESHOLD]` | Discard rows with `ratiovalidyieldedhours` or `ratiovalidyieldedminutes` feature less than `[DATA_YIELD_RATIO_THRESHOLD]`. The feature name is determined by `[DATA_YIELD_FEATURE]` parameter. Set to 0 to disable
|`DROP_HIGHLY_CORRELATED_FEATURES` | Discard highly correlated features, see table below
Parameters description for `[ALL_CLEANING_INDIVIDUAL][PROVIDERS][RAPIDS][IMPUTE_SELECTED_EVENT_FEATURES]`:
|Parameters | Description |
|-------------------------------------- |----------------------------------------------------------------|
|`[COMPUTE]` | Set to `True` to fill NAs with 0 for phone event-based features
|`[MIN_DATA_YIELDED_MINUTES_TO_IMPUTE]` | Any feature value in a time segment instance with phone data yield > `[MIN_DATA_YIELDED_MINUTES_TO_IMPUTE]` will be replaced with a zero. See below for an explanation. |
Parameters description for `[ALL_CLEANING_INDIVIDUAL][PROVIDERS][RAPIDS][DROP_HIGHLY_CORRELATED_FEATURES]`:
|Parameters | Description |
|-------------------------------------- |----------------------------------------------------------------|
|`[COMPUTE]` | Set to `True` to drop highly correlated features
|`[MIN_OVERLAP_FOR_CORR_THRESHOLD]` | Minimum ratio of observations required per pair of columns (features) to be considered as a valid correlation.
|`[CORR_THRESHOLD]` | The absolute values of pair-wise correlations are calculated. If two variables have a valid correlation higher than `[CORR_THRESHOLD]`, we looks at the mean absolute correlation of each variable and removes the variable with the largest mean absolute correlation.
Steps to clean sensor features for individual participants. It only considers the **phone sensors** currently.
??? info "1. Fill NA with 0 for the selected event features."
Some event features should be zero instead of NA. In this step, we fill those missing features with 0 when the `phone_data_yield_rapids_ratiovalidyieldedminutes` column is higher than the `[IMPUTE_SELECTED_EVENT_FEATURES][MIN_DATA_YIELDED_MINUTES_TO_IMPUTE]` parameter. Plugins such as Activity Recognition sensor are not considered. You can skip this step by setting `[IMPUTE_SELECTED_EVENT_FEATURES][COMPUTE]` to `False`.
Take phone calls sensor as an example. If there are no calls records during a time segment for a participant, then (1) the calls sensor was not working during that time segment; or (2) the calls sensor was working and the participant did not have any calls during that time segment. To differentiate these two situations, we assume the selected sensors are working when `phone_data_yield_rapids_ratiovalidyieldedminutes > [MIN_DATA_YIELDED_MINUTES_TO_IMPUTE]`.
The following phone event-based features are considered currently:
- Application foreground: countevent, countepisode, minduration, maxduration, meanduration, sumduration.
- Battery: all features.
- Calls: count, distinctcontacts, sumduration, minduration, maxduration, meanduration, modeduration.
- Keyboard: sessioncount, averagesessionlength, changeintextlengthlessthanminusone, changeintextlengthequaltominusone, changeintextlengthequaltoone, changeintextlengthmorethanone, maxtextlength, totalkeyboardtouches.
- Messages: count, distinctcontacts.
- Screen: sumduration, maxduration, minduration, avgduration, countepisode.
- WiFi: all connected and visible features.
??? info "2. Discard unreliable rows."
Extracted features might be not reliable if the sensor only works for a short period during a time segment. In this step, we discard rows when the `phone_data_yield_rapids_ratiovalidyieldedminutes` column or the `phone_data_yield_rapids_ratiovalidyieldedhours` column is less than the `[DATA_YIELD_RATIO_THRESHOLD]` parameter. We recommend using `phone_data_yield_rapids_ratiovalidyieldedminutes` column (set `[DATA_YIELD_FEATURE]` to `RATIO_VALID_YIELDED_MINUTES`) on time segments that are shorter than two or three hours and `phone_data_yield_rapids_ratiovalidyieldedhours` (set `[DATA_YIELD_FEATURE]` to `RATIO_VALID_YIELDED_HOURS`) for longer segments. We do not recommend you to skip this step, but you can do it by setting `[DATA_YIELD_RATIO_THRESHOLD]` to 0.
??? info "3. Discard columns (features) with too many missing values."
In this step, we discard columns with missing value ratios higher than `[COLS_NAN_THRESHOLD]`. We do not recommend you to skip this step, but you can do it by setting `[COLS_NAN_THRESHOLD]` to 1.
??? info "4. Discard columns (features) with zero variance."
In this step, we discard columns with zero variance. We do not recommend you to skip this step, but you can do it by setting `[COLS_VAR_THRESHOLD]` to `False`.
??? info "5. Drop highly correlated features."
As highly correlated features might not bring additional information and will increase the complexity of a model, we drop them in this step. The absolute values of pair-wise correlations are calculated. Each correlation vector between two variables is regarded as valid only if the ratio of valid value pairs (i.e. non NA pairs) is greater than or equal to `[DROP_HIGHLY_CORRELATED_FEATURES][MIN_OVERLAP_FOR_CORR_THRESHOLD]`. If two variables have a correlation coefficient higher than `[DROP_HIGHLY_CORRELATED_FEATURES][CORR_THRESHOLD]`, we look at the mean absolute correlation of each variable and remove the variable with the largest mean absolute correlation. This step can be skipped by setting `[DROP_HIGHLY_CORRELATED_FEATURES][COMPUTE]` to False.
??? info "6. Discard rows with too many missing values."
In this step, we discard rows with missing value ratios higher than `[ROWS_NAN_THRESHOLD]`. We do not recommend you to skip this step, but you can do it by setting `[ROWS_NAN_THRESHOLD]` to 1. In other words, we are discarding time segments (e.g. days) that did not have enough data to be considered reliable. This step is similar to step 2 except the ratio is computed based on NA values instead of a phone data yield threshold.
## Clean sensor features for all participants
!!! info "File Sequence"
```bash
- data/processed/features/all_participants/all_sensor_features.csv
- data/processed/features/all_participants/all_sensor_features_cleaned_{provider_key}.csv
```
### RAPIDS provider
Parameters description and the steps are the same as the above [RAPIDS provider](#rapids-provider) section for individual participants.

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@ -1,12 +1,4 @@
# Change Log # Change Log
## v1.7.1
- Update docs for Git Flow section
- Update RAPIDS paper information
## v1.7.0
- Add firststeptime and laststeptime features to FITBIT_STEPS_INTRADAY RAPIDS provider
- Update tests for Fitbit steps intraday features
- Add tests for phone battery features
- Add a data cleaning module to replace NAs with 0 in selected event-based features, discard unreliable rows and columns, discard columns with zero variance, and discard highly correlated columns
## v1.6.0 ## v1.6.0
- Refactor PHONE_CALLS RAPIDS provider to compute features based on call episodes or events - Refactor PHONE_CALLS RAPIDS provider to compute features based on call episodes or events
- Refactor PHONE_LOCATIONS DORYAB provider to compute features based on location episodes - Refactor PHONE_LOCATIONS DORYAB provider to compute features based on location episodes

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@ -5,10 +5,14 @@
## RAPIDS ## RAPIDS
If you used RAPIDS, please cite [this paper](https://www.frontiersin.org/article/10.3389/fdgth.2021.769823). If you used RAPIDS, please cite [this paper](https://preprints.jmir.org/preprint/23246).
!!! cite "RAPIDS et al. citation" !!! cite "RAPIDS et al. citation"
Vega, J., Li, M., Aguillera, K., Goel, N., Joshi, E., Khandekar, K., ... & Low, C. A. (2021). Reproducible Analysis Pipeline for Data Streams (RAPIDS): Open-Source Software to Process Data Collected with Mobile Devices. Frontiers in Digital Health, 168. Vega J, Li M, Aguillera K, Goel N, Joshi E, Durica KC, Kunta AR, Low CA
RAPIDS: Reproducible Analysis Pipeline for Data Streams Collected with Mobile Devices
JMIR Preprints. 18/08/2020:23246
DOI: 10.2196/preprints.23246
URL: https://preprints.jmir.org/preprint/23246
## DBDP (all Empatica sensors) ## DBDP (all Empatica sensors)

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@ -127,9 +127,9 @@ git branch -d release/v[NEW_RELEASE]
``` ```
git checkout master git checkout master
git merge --ff-only develop git merge --ff-only develop
git push # Unlock the master branch before merging git push
``` ```
1. Release happens automatically after passing the tests 1. Go to [GitHub](https://github.com/carissalow/rapids/tags) and create a new release based on the newest tag `v[NEW_RELEASE]` (remember to add the change log)
## Release a Hotfix ## Release a Hotfix
1. Pull the latest master 1. Pull the latest master
@ -156,6 +156,6 @@ git branch -d hotfix/v[NEW_HOTFIX]
``` ```
git checkout master git checkout master
git merge --ff-only v[NEW_HOTFIX] git merge --ff-only v[NEW_HOTFIX]
git push # Unlock the master branch before merging git push
``` ```
1. Release happens automatically after passing the tests 1. Go to [GitHub](https://github.com/carissalow/rapids/tags) and create a new release based on the newest tag `v[NEW_HOTFIX]` (remember to add the change log)

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@ -11,7 +11,7 @@ The following is a list of the sensors that testing is currently available.
| Phone Accelerometer | RAPIDS | Y | Y | Y | | Phone Accelerometer | RAPIDS | Y | Y | Y |
| Phone Activity Recognition | RAPIDS | Y | Y | Y | | Phone Activity Recognition | RAPIDS | Y | Y | Y |
| Phone Applications Foreground | RAPIDS | Y | Y | Y | | Phone Applications Foreground | RAPIDS | Y | Y | Y |
| Phone Battery | RAPIDS | Y | Y | Y | | Phone Battery | RAPIDS | Y | Y | N |
| Phone Bluetooth | Doryab | Y | Y | Y | | Phone Bluetooth | Doryab | Y | Y | Y |
| Phone Bluetooth | RAPIDS | Y | Y | Y | | Phone Bluetooth | RAPIDS | Y | Y | Y |
| Phone Calls | RAPIDS | Y | Y | Y | | Phone Calls | RAPIDS | Y | Y | Y |
@ -28,7 +28,7 @@ The following is a list of the sensors that testing is currently available.
| Fitbit Data Yield | RAPIDS | Y | Y | Y | | Fitbit Data Yield | RAPIDS | Y | Y | Y |
| Fitbit Heart Rate Summary | RAPIDS | Y | Y | Y | | Fitbit Heart Rate Summary | RAPIDS | Y | Y | Y |
| Fitbit Heart Rate Intraday | RAPIDS | Y | Y | Y | | Fitbit Heart Rate Intraday | RAPIDS | Y | Y | Y |
| Fitbit Sleep Summary | RAPIDS | Y | Y | Y | | Fitbit Sleep Summary | RAPIDS | N | N | N |
| Fitbit Sleep Intraday | RAPIDS | Y | Y | Y | | Fitbit Sleep Intraday | RAPIDS | Y | Y | Y |
| Fitbit Sleep Intraday | PRICE | Y | Y | Y | | Fitbit Sleep Intraday | PRICE | Y | Y | Y |
| Fitbit Steps Summary | RAPIDS | Y | Y | Y | | Fitbit Steps Summary | RAPIDS | Y | Y | Y |
@ -46,7 +46,7 @@ Description
- One episode before the time switch (`Sun 00:02:00`) and one episode after the time switch (`Sun 04:18:00`) - One episode before the time switch (`Sun 00:02:00`) and one episode after the time switch (`Sun 04:18:00`)
- Multiple episodes within one min which cause variance in magnitude (`Fri 00:10:25`, `Fri 00:10:27` and `Fri 00:10:46`) - Multiple episodes within one min which cause variance in magnitude (`Fri 00:10:25`, `Fri 00:10:27` and `Fri 00:10:46`)
Checklist Checklist:
|time segment| single tz | multi tz|platform| |time segment| single tz | multi tz|platform|
|-|-|-|-| |-|-|-|-|
@ -69,7 +69,7 @@ Description
- Two episodes locate in the same daily segment (`Fri 11:57:56.385` and `Sat 10:54:10.000`) - Two episodes locate in the same daily segment (`Fri 11:57:56.385` and `Sat 10:54:10.000`)
- One episode before the time switch (`Sun 00:48:01.000`) and one episode after the time switch (`Sun 06:21:01.000`) - One episode before the time switch (`Sun 00:48:01.000`) and one episode after the time switch (`Sun 06:21:01.000`)
Checklist Checklist:
|time segment| single tz | multi tz|platform| |time segment| single tz | multi tz|platform|
|-|-|-|-| |-|-|-|-|
@ -158,26 +158,24 @@ Checklist
## Battery ## Battery
Description Due to the difference in the format of the raw battery data for iOS and Android as well as versions of iOS the following is the expected results the `battery_deltas.csv`. This would give a better idea of the use cases being tested since the `battery_deltas.csv` would make both the iOS and Android data comparable. These files are used to calculate the features for the battery sensor.
- The 4-day raw data is contained in `phone_battery_raw.csv` - The battery delta data file contains data for 1 day.
- One discharge episode acrossing two 30-min time segements (`Fri 05:57:30.123` to `Fri 06:04:32.456`) - The battery delta data contains 1 record each for a `charging` and
- One charging episode acrossing two 30-min time segments (`Fri 11:55:58.416` to `Fri 12:08:07.876`) `discharging` episode that falls within an `epoch` for every
- One discharge episode and one charging episode locate within the same 30-min time segement (`Fri 21:30:00` to `Fri 22:00:00`) `epoch`. Thus, for the `daily` epoch there would be multiple
- One episode before the time switch (`Sun 00:24:00.000`) and one episode after the time switch (`Sun 21:58:00`) `charging` and `discharging` episodes
- Two episodes locate in the same daily segment - Since either a `charging` episode or a `discharging` episode and
not both can occur across epochs, in order to test episodes that
Checklist occur across epochs alternating episodes of `charging` and
`discharging` episodes that fall across `night` to `morning`,
|time segment| single tz | multi tz|platform| `morning` to `afternoon` and finally `afternoon` to `night` are
|-|-|-|-| present in the battery delta data. This starts with a
|30min|OK|OK|android| `discharging` episode that begins in `night` and end in `morning`.
|morning|OK|OK|android| - There is one battery data file each, for testing both iOS and
|daily|OK|OK|android| Android data formats.
|threeday|OK|OK|android| - There is also an additional empty data file for both android and
|weekend|OK|OK|android| iOS for testing empty data files
|beforeMarchEvent|OK|OK|android|
|beforeNovemberEvent|OK|OK|android|
## Bluetooth ## Bluetooth

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@ -29,7 +29,6 @@ Parameters description for `[FITBIT_STEPS_INTRADAY][PROVIDERS][RAPIDS]`:
|----------------|----------------------------------------------------------------------------------------------------------------------------------- |----------------|-----------------------------------------------------------------------------------------------------------------------------------
|`[COMPUTE]` | Set to `True` to extract `FITBIT_STEPS_INTRADAY` features from the `RAPIDS` provider| |`[COMPUTE]` | Set to `True` to extract `FITBIT_STEPS_INTRADAY` features from the `RAPIDS` provider|
|`[FEATURES]` | Features to be computed from steps intraday data, see table below | |`[FEATURES]` | Features to be computed from steps intraday data, see table below |
|`[REFERENCE_HOUR]` | The reference point from which `firststeptime` or `laststeptime` is to be computed, default is midnight |
|`[THRESHOLD_ACTIVE_BOUT]` | Every minute with Fitbit steps data wil be labelled as `sedentary` if its step count is below this threshold, otherwise, `active`. | |`[THRESHOLD_ACTIVE_BOUT]` | Every minute with Fitbit steps data wil be labelled as `sedentary` if its step count is below this threshold, otherwise, `active`. |
|`[INCLUDE_ZERO_STEP_ROWS]` | Whether or not to include time segments with a 0 step count during the whole day. | |`[INCLUDE_ZERO_STEP_ROWS]` | Whether or not to include time segments with a 0 step count during the whole day. |
@ -43,8 +42,6 @@ Features description for `[FITBIT_STEPS_INTRADAY][PROVIDERS][RAPIDS]`:
|minsteps |steps |The minimum step count during a time segment. |minsteps |steps |The minimum step count during a time segment.
|avgsteps |steps |The average step count during a time segment. |avgsteps |steps |The average step count during a time segment.
|stdsteps |steps |The standard deviation of step count during a time segment. |stdsteps |steps |The standard deviation of step count during a time segment.
|firststeptime |minutes |Minutes until the first non-zero step count.
|laststeptime |minutes |Minutes until the last non-zero step count.
|countepisodesedentarybout |bouts |Number of sedentary bouts during a time segment. |countepisodesedentarybout |bouts |Number of sedentary bouts during a time segment.
|sumdurationsedentarybout |minutes |Total duration of all sedentary bouts during a time segment. |sumdurationsedentarybout |minutes |Total duration of all sedentary bouts during a time segment.
|maxdurationsedentarybout |minutes |The maximum duration of any sedentary bout during a time segment. |maxdurationsedentarybout |minutes |The maximum duration of any sedentary bout during a time segment.

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@ -6,12 +6,6 @@ Sensor parameters description for `[PHONE_KEYBOARD]`:
|----------------|----------------------------------------------------------------------------------------------------------------------------------- |----------------|-----------------------------------------------------------------------------------------------------------------------------------
|`[CONTAINER]`| Data stream [container](../../datastreams/data-streams-introduction/) (database table, CSV file, etc.) where the keyboard data is stored |`[CONTAINER]`| Data stream [container](../../datastreams/data-streams-introduction/) (database table, CSV file, etc.) where the keyboard data is stored
## RAPIDS provider
!!! info "Available time segments and platforms"
- Available for all time segments
- Available for Android only
!!! info "File Sequence" !!! info "File Sequence"
```bash ```bash
- data/raw/{pid}/phone_keyboard_raw.csv - data/raw/{pid}/phone_keyboard_raw.csv

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@ -1,12 +1,12 @@
# Welcome to RAPIDS documentation # Welcome to RAPIDS documentation
Reproducible Analysis Pipeline for Data Streams (RAPIDS) allows you to process smartphone and wearable data to [extract](features/feature-introduction.md) and [create](features/add-new-features.md) **behavioral features** (a.k.a. digital biomarkers), [visualize](visualizations/data-quality-visualizations.md) mobile sensor data, and [structure](analysis/complete-workflow-example.md) your analysis into reproducible workflows. Check out our [paper](https://www.frontiersin.org/article/10.3389/fdgth.2021.769823)! Reproducible Analysis Pipeline for Data Streams (RAPIDS) allows you to process smartphone and wearable data to [extract](features/feature-introduction.md) and [create](features/add-new-features.md) **behavioral features** (a.k.a. digital biomarkers), [visualize](visualizations/data-quality-visualizations.md) mobile sensor data, and [structure](workflow-examples/analysis.md) your analysis into reproducible workflows.
RAPIDS is open source, documented, multi-platform, modular, tested, and reproducible. At the moment, we support [data streams](datastreams/data-streams-introduction) logged by smartphones, Fitbit wearables, and Empatica wearables (the latter in collaboration with the [DBDP](https://dbdp.org/)). RAPIDS is open source, documented, multi-platform, modular, tested, and reproducible. At the moment, we support [data streams](datastreams/data-streams-introduction) logged by smartphones, Fitbit wearables, and Empatica wearables (the latter in collaboration with the [DBDP](https://dbdp.org/)).
!!! tip "Where do I start?" !!! tip "Where do I start?"
:material-power-standby: New to RAPIDS? Check our [Overview + FAQ](setup/overview/) and [minimal example](analysis/minimal) :material-power-standby: New to RAPIDS? Check our [Overview + FAQ](setup/overview/) and [minimal example](workflow-examples/minimal)
:material-play-speed: [Install](setup/installation), [configure](setup/configuration), and [execute](setup/execution) RAPIDS to [extract](features/feature-introduction.md) and [plot](visualizations/data-quality-visualizations.md) behavioral features :material-play-speed: [Install](setup/installation), [configure](setup/configuration), and [execute](setup/execution) RAPIDS to [extract](features/feature-introduction.md) and [plot](visualizations/data-quality-visualizations.md) behavioral features

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@ -23,10 +23,10 @@ Let's review some key concepts we use throughout these docs:
- [Add your own behavioral features](../../features/add-new-features/) (we can include them in RAPIDS if you want to share them with the community) - [Add your own behavioral features](../../features/add-new-features/) (we can include them in RAPIDS if you want to share them with the community)
- [Add support for new data streams](../../datastreams/add-new-data-streams/) if yours cannot be processed by RAPIDS yet - [Add support for new data streams](../../datastreams/add-new-data-streams/) if yours cannot be processed by RAPIDS yet
- Create visualizations for [data quality control](../../visualizations/data-quality-visualizations/) and [feature inspection](../../visualizations/feature-visualizations/) - Create visualizations for [data quality control](../../visualizations/data-quality-visualizations/) and [feature inspection](../../visualizations/feature-visualizations/)
- [Extending RAPIDS to organize your analysis](../../analysis/complete-workflow-example/) and publish a code repository along with your code - [Extending RAPIDS to organize your analysis](../../workflow-examples/analysis/) and publish a code repository along with your code
!!! hint !!! hint
- We recommend you follow the [Minimal Example](../../analysis/minimal/) tutorial to get familiar with RAPIDS - We recommend you follow the [Minimal Example](../../workflow-examples/minimal/) tutorial to get familiar with RAPIDS
- In order to follow any of the previous tutorials, you will have to [Install](../installation/), [Configure](../configuration/), and learn how to [Execute](../execution/) RAPIDS. - In order to follow any of the previous tutorials, you will have to [Install](../installation/), [Configure](../configuration/), and learn how to [Execute](../execution/) RAPIDS.

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@ -9,12 +9,16 @@ If you are interested in contributing feel free to submit a pull request or cont
??? abstract "About" ??? abstract "About"
Julio Vega is a postdoctoral associate at the Mobile Sensing + Health Institute. He is interested in personalized methodologies to monitor chronic conditions that affect daily human behavior using mobile and wearable data. Julio Vega is a postdoctoral associate at the Mobile Sensing + Health Institute. He is interested in personalized methodologies to monitor chronic conditions that affect daily human behavior using mobile and wearable data.
- *vegaju* at *upmc* . *edu*
- [Personal Website](https://juliovega.info/)
### Meng Li ### Meng Li
??? abstract "About" ??? abstract "About"
Meng Li received her Master of Science degree in Information Science from the University of Pittsburgh. She is interested in applying machine learning algorithms to the medical field. Meng Li received her Master of Science degree in Information Science from the University of Pittsburgh. She is interested in applying machine learning algorithms to the medical field.
- *lim11* at *upmc* . *edu* - *lim11* at *upmc* . *edu*
- [Linkedin Profile](https://www.linkedin.com/in/meng-li-57238414a)
- [Github Profile](https://github.com/Meng6) - [Github Profile](https://github.com/Meng6)
### Abhineeth Reddy Kunta ### Abhineeth Reddy Kunta

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@ -1,8 +1,8 @@
# Analysis Workflow Example # Analysis Workflow Example
!!! info "TL;DR" !!! info "TL;DR"
- In addition to using RAPIDS to extract behavioral features, create plots, and clean sensor features, you can structure your data analysis within RAPIDS (i.e. creating ML/statistical models and evaluating your models) - In addition to using RAPIDS to extract behavioral features and create plots, you can structure your data analysis within RAPIDS (i.e. cleaning your features and creating ML/statistical models)
- We include an analysis example in RAPIDS that covers raw data processing, feature extraction, cleaning, machine learning modeling, and evaluation - We include an analysis example in RAPIDS that covers raw data processing, cleaning, feature extraction, machine learning modeling, and evaluation
- Use this example as a guide to structure your own analysis within RAPIDS - Use this example as a guide to structure your own analysis within RAPIDS
- RAPIDS analysis workflows are compatible with your favorite data science tools and libraries - RAPIDS analysis workflows are compatible with your favorite data science tools and libraries
- RAPIDS analysis workflows are reproducible and we encourage you to publish them along with your research papers - RAPIDS analysis workflows are reproducible and we encourage you to publish them along with your research papers
@ -69,12 +69,12 @@ Note you will see a lot of warning messages, you can ignore them since they happ
??? info "6. Feature cleaning." ??? info "6. Feature cleaning."
In this stage we perform four steps to clean our sensor feature file. First, we discard days with a data yield hour ratio less than or equal to 0.75, i.e. we include days with at least 18 hours of data. Second, we drop columns (features) with more than 30% of missing rows. Third, we drop columns with zero variance. Fourth, we drop rows (days) with more than 30% of missing columns (features). In this cleaning stage several parameters are created and exposed in `example_profile/example_config.yaml`. In this stage we perform four steps to clean our sensor feature file. First, we discard days with a data yield hour ratio less than or equal to 0.75, i.e. we include days with at least 18 hours of data. Second, we drop columns (features) with more than 30% of missing rows. Third, we drop columns with zero variance. Fourth, we drop rows (days) with more than 30% of missing columns (features). In this cleaning stage several parameters are created and exposed in `example_profile/example_config.yaml`.
After this step, we kept 173 features over 11 days for the individual model of p01, 101 features over 12 days for the individual model of p02 and 117 features over 22 days for the population model. Note that the difference in the number of features between p01 and p02 is mostly due to iOS restrictions that stops researchers from collecting the same number of sensors than in Android phones. After this step, we kept 163 features over 11 days for the individual model of p01, 101 features over 12 days for the individual model of p02 and 109 features over 20 days for the population model. Note that the difference in the number of features between p01 and p02 is mostly due to iOS restrictions that stops researchers from collecting the same number of sensors than in Android phones.
Feature cleaning for the individual models is done in the `clean_sensor_features_for_individual_participants` rule and for the population model in the `clean_sensor_features_for_all_participants` rule in `rules/models.smk`. Feature cleaning for the individual models is done in the `clean_sensor_features_for_individual_participants` rule and for the population model in the `clean_sensor_features_for_all_participants` rule in `rules/models.smk`.
??? info "7. Merge features and targets." ??? info "7. Merge features and targets."
In this step we merge the cleaned features and target labels for our individual models in the `merge_features_and_targets_for_individual_model` rule in `rules/features.smk`. Additionally, we merge the cleaned features, target labels, and demographic features of our two participants for the population model in the `merge_features_and_targets_for_population_model` rule in `rules/features.smk`. These two merged files are the input for our individual and population models. In this step we merge the cleaned features and target labels for our individual models in the `merge_features_and_targets_for_individual_model` rule in `rules/models.smk`. Additionally, we merge the cleaned features, target labels, and demographic features of our two participants for the population model in the `merge_features_and_targets_for_population_model` rule in `rules/models.smk`. These two merged files are the input for our individual and population models.
??? info "8. Modelling." ??? info "8. Modelling."
This stage has three phases: model building, training and evaluation. This stage has three phases: model building, training and evaluation.

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@ -3,7 +3,7 @@ include: "../rules/common.smk"
include: "../rules/renv.smk" include: "../rules/renv.smk"
include: "../rules/preprocessing.smk" include: "../rules/preprocessing.smk"
include: "../rules/features.smk" include: "../rules/features.smk"
include: "../rules/models_example.smk" include: "../rules/models.smk"
include: "../rules/reports.smk" include: "../rules/reports.smk"
import itertools import itertools
@ -384,14 +384,6 @@ if config["HEATMAP_PHONE_DATA_YIELD_PER_PARTICIPANT_PER_TIME_SEGMENT"]["PLOT"]:
if config["HEATMAP_FEATURE_CORRELATION_MATRIX"]["PLOT"]: if config["HEATMAP_FEATURE_CORRELATION_MATRIX"]["PLOT"]:
files_to_compute.append("reports/data_exploration/heatmap_feature_correlation_matrix.html") files_to_compute.append("reports/data_exploration/heatmap_feature_correlation_matrix.html")
# Data Cleaning
for provider in config["ALL_CLEANING_INDIVIDUAL"]["PROVIDERS"].keys():
if config["ALL_CLEANING_INDIVIDUAL"]["PROVIDERS"][provider]["COMPUTE"]:
files_to_compute.extend(expand("data/processed/features/{pid}/all_sensor_features_cleaned_" + provider.lower() +".csv", pid=config["PIDS"]))
for provider in config["ALL_CLEANING_OVERALL"]["PROVIDERS"].keys():
if config["ALL_CLEANING_OVERALL"]["PROVIDERS"][provider]["COMPUTE"]:
files_to_compute.extend(expand("data/processed/features/all_participants/all_sensor_features_cleaned_" + provider.lower() +".csv"))
# Analysis Workflow Example # Analysis Workflow Example
models, scalers = [], [] models, scalers = [], []
for model_name in config["PARAMS_FOR_ANALYSIS"]["MODEL_NAMES"]: for model_name in config["PARAMS_FOR_ANALYSIS"]["MODEL_NAMES"]:
@ -409,6 +401,7 @@ files_to_compute.extend(expand("data/raw/{pid}/participant_target_with_datetime.
files_to_compute.extend(expand("data/processed/targets/{pid}/parsed_targets.csv", pid=config["PIDS"])) files_to_compute.extend(expand("data/processed/targets/{pid}/parsed_targets.csv", pid=config["PIDS"]))
# Individual model # Individual model
files_to_compute.extend(expand("data/processed/features/{pid}/all_sensor_features_cleaned.csv", pid=config["PIDS"]))
files_to_compute.extend(expand("data/processed/models/individual_model/{pid}/input.csv", pid=config["PIDS"])) files_to_compute.extend(expand("data/processed/models/individual_model/{pid}/input.csv", pid=config["PIDS"]))
files_to_compute.extend(expand("data/processed/models/individual_model/{pid}/output_{cv_method}/baselines.csv", pid=config["PIDS"], cv_method=config["PARAMS_FOR_ANALYSIS"]["CV_METHODS"])) files_to_compute.extend(expand("data/processed/models/individual_model/{pid}/output_{cv_method}/baselines.csv", pid=config["PIDS"], cv_method=config["PARAMS_FOR_ANALYSIS"]["CV_METHODS"]))
files_to_compute.extend(expand( files_to_compute.extend(expand(
@ -421,6 +414,7 @@ files_to_compute.extend(expand(
scaler=scalers)) scaler=scalers))
# Population model # Population model
files_to_compute.append("data/processed/features/all_participants/all_sensor_features_cleaned.csv")
files_to_compute.append("data/processed/models/population_model/input.csv") files_to_compute.append("data/processed/models/population_model/input.csv")
files_to_compute.extend(expand("data/processed/models/population_model/output_{cv_method}/baselines.csv", cv_method=config["PARAMS_FOR_ANALYSIS"]["CV_METHODS"])) files_to_compute.extend(expand("data/processed/models/population_model/output_{cv_method}/baselines.csv", cv_method=config["PARAMS_FOR_ANALYSIS"]["CV_METHODS"]))
files_to_compute.extend(expand( files_to_compute.extend(expand(

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@ -84,7 +84,6 @@ PHONE_APPLICATIONS_CRASHES:
CATALOGUE_SOURCE: FILE # FILE (genres are read from CATALOGUE_FILE) or GOOGLE (genres are scrapped from the Play Store) CATALOGUE_SOURCE: FILE # FILE (genres are read from CATALOGUE_FILE) or GOOGLE (genres are scrapped from the Play Store)
CATALOGUE_FILE: "data/external/stachl_application_genre_catalogue.csv" CATALOGUE_FILE: "data/external/stachl_application_genre_catalogue.csv"
UPDATE_CATALOGUE_FILE: False # if CATALOGUE_SOURCE is equal to FILE, whether or not to update CATALOGUE_FILE, if CATALOGUE_SOURCE is equal to GOOGLE all scraped genres will be saved to CATALOGUE_FILE UPDATE_CATALOGUE_FILE: False # if CATALOGUE_SOURCE is equal to FILE, whether or not to update CATALOGUE_FILE, if CATALOGUE_SOURCE is equal to GOOGLE all scraped genres will be saved to CATALOGUE_FILE
PACKAGE_NAMES_HASHED: False
SCRAPE_MISSING_CATEGORIES: False # whether or not to scrape missing genres, only effective if CATALOGUE_SOURCE is equal to FILE. If CATALOGUE_SOURCE is equal to GOOGLE, all genres are scraped anyway SCRAPE_MISSING_CATEGORIES: False # whether or not to scrape missing genres, only effective if CATALOGUE_SOURCE is equal to FILE. If CATALOGUE_SOURCE is equal to GOOGLE, all genres are scraped anyway
PROVIDERS: # None implemented yet but this sensor can be used in PHONE_DATA_YIELD PROVIDERS: # None implemented yet but this sensor can be used in PHONE_DATA_YIELD
@ -94,7 +93,6 @@ PHONE_APPLICATIONS_FOREGROUND:
APPLICATION_CATEGORIES: APPLICATION_CATEGORIES:
CATALOGUE_SOURCE: FILE # FILE (genres are read from CATALOGUE_FILE) or GOOGLE (genres are scrapped from the Play Store) CATALOGUE_SOURCE: FILE # FILE (genres are read from CATALOGUE_FILE) or GOOGLE (genres are scrapped from the Play Store)
CATALOGUE_FILE: "data/external/stachl_application_genre_catalogue.csv" CATALOGUE_FILE: "data/external/stachl_application_genre_catalogue.csv"
PACKAGE_NAMES_HASHED: False
UPDATE_CATALOGUE_FILE: False # if CATALOGUE_SOURCE is equal to FILE, whether or not to update CATALOGUE_FILE, if CATALOGUE_SOURCE is equal to GOOGLE all scraped genres will be saved to CATALOGUE_FILE UPDATE_CATALOGUE_FILE: False # if CATALOGUE_SOURCE is equal to FILE, whether or not to update CATALOGUE_FILE, if CATALOGUE_SOURCE is equal to GOOGLE all scraped genres will be saved to CATALOGUE_FILE
SCRAPE_MISSING_CATEGORIES: False # whether or not to scrape missing genres, only effective if CATALOGUE_SOURCE is equal to FILE. If CATALOGUE_SOURCE is equal to GOOGLE, all genres are scraped anyway SCRAPE_MISSING_CATEGORIES: False # whether or not to scrape missing genres, only effective if CATALOGUE_SOURCE is equal to FILE. If CATALOGUE_SOURCE is equal to GOOGLE, all genres are scraped anyway
PROVIDERS: PROVIDERS:
@ -122,7 +120,6 @@ PHONE_APPLICATIONS_NOTIFICATIONS:
CATALOGUE_SOURCE: FILE # FILE (genres are read from CATALOGUE_FILE) or GOOGLE (genres are scrapped from the Play Store) CATALOGUE_SOURCE: FILE # FILE (genres are read from CATALOGUE_FILE) or GOOGLE (genres are scrapped from the Play Store)
CATALOGUE_FILE: "data/external/stachl_application_genre_catalogue.csv" CATALOGUE_FILE: "data/external/stachl_application_genre_catalogue.csv"
UPDATE_CATALOGUE_FILE: False # if CATALOGUE_SOURCE is equal to FILE, whether or not to update CATALOGUE_FILE, if CATALOGUE_SOURCE is equal to GOOGLE all scraped genres will be saved to CATALOGUE_FILE UPDATE_CATALOGUE_FILE: False # if CATALOGUE_SOURCE is equal to FILE, whether or not to update CATALOGUE_FILE, if CATALOGUE_SOURCE is equal to GOOGLE all scraped genres will be saved to CATALOGUE_FILE
PACKAGE_NAMES_HASHED: False
SCRAPE_MISSING_CATEGORIES: False # whether or not to scrape missing genres, only effective if CATALOGUE_SOURCE is equal to FILE. If CATALOGUE_SOURCE is equal to GOOGLE, all genres are scraped anyway SCRAPE_MISSING_CATEGORIES: False # whether or not to scrape missing genres, only effective if CATALOGUE_SOURCE is equal to FILE. If CATALOGUE_SOURCE is equal to GOOGLE, all genres are scraped anyway
PROVIDERS: # None implemented yet but this sensor can be used in PHONE_DATA_YIELD PROVIDERS: # None implemented yet but this sensor can be used in PHONE_DATA_YIELD
@ -524,7 +521,7 @@ HEATMAP_SENSORS_PER_MINUTE_PER_TIME_SEGMENT:
# See https://www.rapids.science/latest/visualizations/data-quality-visualizations/#4-heatmap-of-sensor-row-count # See https://www.rapids.science/latest/visualizations/data-quality-visualizations/#4-heatmap-of-sensor-row-count
HEATMAP_SENSOR_ROW_COUNT_PER_TIME_SEGMENT: HEATMAP_SENSOR_ROW_COUNT_PER_TIME_SEGMENT:
PLOT: False PLOT: True
SENSORS: [PHONE_ACTIVITY_RECOGNITION, PHONE_APPLICATIONS_FOREGROUND, PHONE_BATTERY, PHONE_BLUETOOTH, PHONE_CALLS, PHONE_CONVERSATION, PHONE_LIGHT, PHONE_LOCATIONS, PHONE_MESSAGES, PHONE_SCREEN, PHONE_WIFI_CONNECTED, PHONE_WIFI_VISIBLE] SENSORS: [PHONE_ACTIVITY_RECOGNITION, PHONE_APPLICATIONS_FOREGROUND, PHONE_BATTERY, PHONE_BLUETOOTH, PHONE_CALLS, PHONE_CONVERSATION, PHONE_LIGHT, PHONE_LOCATIONS, PHONE_MESSAGES, PHONE_SCREEN, PHONE_WIFI_CONNECTED, PHONE_WIFI_VISIBLE]
# Features ------ # Features ------
@ -537,46 +534,6 @@ HEATMAP_FEATURE_CORRELATION_MATRIX:
CORR_METHOD: "pearson" # choose from {"pearson", "kendall", "spearman"} CORR_METHOD: "pearson" # choose from {"pearson", "kendall", "spearman"}
########################################################################################################################
# Data Cleaning #
########################################################################################################################
ALL_CLEANING_INDIVIDUAL:
PROVIDERS:
RAPIDS:
COMPUTE: True
IMPUTE_SELECTED_EVENT_FEATURES:
COMPUTE: False
MIN_DATA_YIELDED_MINUTES_TO_IMPUTE: 0.33
COLS_NAN_THRESHOLD: 0.3 # set to 1 to disable
COLS_VAR_THRESHOLD: True
ROWS_NAN_THRESHOLD: 0.3 # set to 1 to disable
DATA_YIELD_FEATURE: RATIO_VALID_YIELDED_HOURS # RATIO_VALID_YIELDED_HOURS or RATIO_VALID_YIELDED_MINUTES
DATA_YIELD_RATIO_THRESHOLD: 0.75 # set to 0 to disable
DROP_HIGHLY_CORRELATED_FEATURES:
COMPUTE: False
MIN_OVERLAP_FOR_CORR_THRESHOLD: 0.5
CORR_THRESHOLD: 0.95
SRC_SCRIPT: src/features/all_cleaning_individual/rapids/main.R
ALL_CLEANING_OVERALL:
PROVIDERS:
RAPIDS:
COMPUTE: True
IMPUTE_SELECTED_EVENT_FEATURES:
COMPUTE: False
MIN_DATA_YIELDED_MINUTES_TO_IMPUTE: 0.33
COLS_NAN_THRESHOLD: 0.3 # set to 1 to disable
COLS_VAR_THRESHOLD: True
ROWS_NAN_THRESHOLD: 0.3 # set to 1 to disable
DATA_YIELD_FEATURE: RATIO_VALID_YIELDED_HOURS # RATIO_VALID_YIELDED_HOURS or RATIO_VALID_YIELDED_MINUTES
DATA_YIELD_RATIO_THRESHOLD: 0.75 # set to 0 to disable
DROP_HIGHLY_CORRELATED_FEATURES:
COMPUTE: False
MIN_OVERLAP_FOR_CORR_THRESHOLD: 0.5
CORR_THRESHOLD: 0.95
SRC_SCRIPT: src/features/all_cleaning_overall/rapids/main.R
######################################################################################################################## ########################################################################################################################
# Analysis Workflow Example # # Analysis Workflow Example #
@ -594,6 +551,12 @@ PARAMS_FOR_ANALYSIS:
TARGET: TARGET:
FOLDER: data/external/example_workflow FOLDER: data/external/example_workflow
CONTAINER: participant_target.csv CONTAINER: participant_target.csv
# Cleaning Parameters
COLS_NAN_THRESHOLD: 0.3
COLS_VAR_THRESHOLD: True
ROWS_NAN_THRESHOLD: 0.3
DATA_YIELDED_HOURS_RATIO_THRESHOLD: 0.75
MODEL_NAMES: [LogReg, kNN , SVM, DT, RF, GB, XGBoost, LightGBM] MODEL_NAMES: [LogReg, kNN , SVM, DT, RF, GB, XGBoost, LightGBM]
CV_METHODS: [LeaveOneOut] CV_METHODS: [LeaveOneOut]

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@ -74,7 +74,7 @@ extra_css:
nav: nav:
- Home: 'index.md' - Home: 'index.md'
- Overview: setup/overview.md - Overview: setup/overview.md
- Minimal Example: analysis/minimal.md - Minimal Example: workflow-examples/minimal.md
- Citation: citation.md - Citation: citation.md
- Contributing: contributing.md - Contributing: contributing.md
- Setup: - Setup:
@ -140,9 +140,8 @@ nav:
- Visualizations: - Visualizations:
- Data Quality: visualizations/data-quality-visualizations.md - Data Quality: visualizations/data-quality-visualizations.md
- Features: visualizations/feature-visualizations.md - Features: visualizations/feature-visualizations.md
- Analysis: - Analysis Workflows:
- Data Cleaning: analysis/data-cleaning.md - Complete Example: workflow-examples/analysis.md
- Complete Workflow Example: analysis/complete-workflow-example.md
- Developers: - Developers:
- Git Flow: developers/git-flow.md - Git Flow: developers/git-flow.md
- Remote Support: developers/remote-support.md - Remote Support: developers/remote-support.md

168
renv.lock
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@ -72,13 +72,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "08588806cba69f04797dab50627428ed" "Hash": "08588806cba69f04797dab50627428ed"
}, },
"ModelMetrics": {
"Package": "ModelMetrics",
"Version": "1.2.2.2",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "40a55bd0b44719941d103291ac5e9d74"
},
"R6": { "R6": {
"Package": "R6", "Package": "R6",
"Version": "2.5.0", "Version": "2.5.0",
@ -128,20 +121,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "ddfa72a87fdf4c80466a20818be91d00" "Hash": "ddfa72a87fdf4c80466a20818be91d00"
}, },
"SQUAREM": {
"Package": "SQUAREM",
"Version": "2021.1",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "0cf10dab0d023d5b46a5a14387556891"
},
"TSP": {
"Package": "TSP",
"Version": "1.1-11",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "b72b16750535acbc63e1337d38ff1ace"
},
"abind": { "abind": {
"Package": "abind", "Package": "abind",
"Version": "1.4-5", "Version": "1.4-5",
@ -233,13 +212,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "b7d7f1e926dfcd57c74ce93f5c048e80" "Hash": "b7d7f1e926dfcd57c74ce93f5c048e80"
}, },
"caret": {
"Package": "caret",
"Version": "6.0-89",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "95cdd7da1e51ab0451c27666f15db891"
},
"cellranger": { "cellranger": {
"Package": "cellranger", "Package": "cellranger",
"Version": "1.1.0", "Version": "1.1.0",
@ -310,13 +282,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "ae01381679f4511ca7a72d55fe175213" "Hash": "ae01381679f4511ca7a72d55fe175213"
}, },
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"Package": "corrr",
"Version": "0.4.3",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "dbd1387c025b07f62da3334942176e14"
},
"cpp11": { "cpp11": {
"Package": "cpp11", "Package": "cpp11",
"Version": "0.2.4", "Version": "0.2.4",
@ -394,13 +359,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "1e14e4c5b2814de5225312394bc316da" "Hash": "1e14e4c5b2814de5225312394bc316da"
}, },
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"Package": "e1071",
"Version": "1.7-9",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "32885be243a29301c90d33db37c3aad8"
},
"ellipsis": { "ellipsis": {
"Package": "ellipsis", "Package": "ellipsis",
"Version": "0.3.2", "Version": "0.3.2",
@ -478,27 +436,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "44594a07a42e5f91fac9f93fda6d0109" "Hash": "44594a07a42e5f91fac9f93fda6d0109"
}, },
"future": {
"Package": "future",
"Version": "1.23.0",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "7bf6fbed7f00cae876901fd70c04f3a4"
},
"future.apply": {
"Package": "future.apply",
"Version": "1.8.1",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "f568ce73d3d59582b0f7babd0eb33d07"
},
"gclus": {
"Package": "gclus",
"Version": "1.3.2",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "8f905e7f70ac42e5b0e39d6ba360dd44"
},
"generics": { "generics": {
"Package": "generics", "Package": "generics",
"Version": "0.1.0", "Version": "0.1.0",
@ -548,13 +485,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "056100917c75e6f8a0d36f8bdd552799" "Hash": "056100917c75e6f8a0d36f8bdd552799"
}, },
"globals": {
"Package": "globals",
"Version": "0.14.0",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "eca8023ed5ca6372479ebb9b3207f5ae"
},
"glue": { "glue": {
"Package": "glue", "Package": "glue",
"Version": "1.4.2", "Version": "1.4.2",
@ -562,13 +492,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "6efd734b14c6471cfe443345f3e35e29" "Hash": "6efd734b14c6471cfe443345f3e35e29"
}, },
"gower": {
"Package": "gower",
"Version": "0.2.2",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "be6a2b3529928bd803d1c437d1d43152"
},
"graphlayouts": { "graphlayouts": {
"Package": "graphlayouts", "Package": "graphlayouts",
"Version": "0.7.1", "Version": "0.7.1",
@ -674,13 +597,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "fb3d0730f3a6de3b9c09081910cca9bc" "Hash": "fb3d0730f3a6de3b9c09081910cca9bc"
}, },
"ipred": {
"Package": "ipred",
"Version": "0.9-12",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "8312ebd8121ad2eca1c76441040bee5d"
},
"isoband": { "isoband": {
"Package": "isoband", "Package": "isoband",
"Version": "0.2.3", "Version": "0.2.3",
@ -744,13 +660,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "590829599d6182cf7461787af34666ee" "Hash": "590829599d6182cf7461787af34666ee"
}, },
"lava": {
"Package": "lava",
"Version": "1.6.10",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "4c31a28528978d8689145f5274ce9058"
},
"lavaan": { "lavaan": {
"Package": "lavaan", "Package": "lavaan",
"Version": "0.6-7", "Version": "0.6-7",
@ -765,13 +674,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "3471fb65971f1a7b2d4ae7848cf2db8d" "Hash": "3471fb65971f1a7b2d4ae7848cf2db8d"
}, },
"listenv": {
"Package": "listenv",
"Version": "0.8.0",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "0bde42ee282efb18c7c4e63822f5b4f7"
},
"lubridate": { "lubridate": {
"Package": "lubridate", "Package": "lubridate",
"Version": "1.7.9.2", "Version": "1.7.9.2",
@ -870,13 +772,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "a399e4773075fc2375b71f45fca186c4" "Hash": "a399e4773075fc2375b71f45fca186c4"
}, },
"pROC": {
"Package": "pROC",
"Version": "1.18.0",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "417fd0d40479932c19faf2747817c473"
},
"packrat": { "packrat": {
"Package": "packrat", "Package": "packrat",
"Version": "0.5.0", "Version": "0.5.0",
@ -884,13 +779,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "2ebd34a38f4248281096cc723535b66d" "Hash": "2ebd34a38f4248281096cc723535b66d"
}, },
"parallelly": {
"Package": "parallelly",
"Version": "1.29.0",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "b5f399c9ce96977e22ef32c20b6cfe87"
},
"pbapply": { "pbapply": {
"Package": "pbapply", "Package": "pbapply",
"Version": "1.4-3", "Version": "1.4-3",
@ -982,13 +870,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "22aab6098cb14edd0a5973a8438b569b" "Hash": "22aab6098cb14edd0a5973a8438b569b"
}, },
"prodlim": {
"Package": "prodlim",
"Version": "2019.11.13",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "c243bf70db3a6631a0c8783152fb7db9"
},
"progress": { "progress": {
"Package": "progress", "Package": "progress",
"Version": "1.2.2", "Version": "1.2.2",
@ -996,13 +877,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "14dc9f7a3c91ebb14ec5bb9208a07061" "Hash": "14dc9f7a3c91ebb14ec5bb9208a07061"
}, },
"progressr": {
"Package": "progressr",
"Version": "0.9.0",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "ca0d80ecc29903f7579edbabd91f4199"
},
"promises": { "promises": {
"Package": "promises", "Package": "promises",
"Version": "1.1.1", "Version": "1.1.1",
@ -1010,13 +884,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "a8730dcbdd19f9047774909f0ec214a4" "Hash": "a8730dcbdd19f9047774909f0ec214a4"
}, },
"proxy": {
"Package": "proxy",
"Version": "0.4-26",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "50b405c6419e921b9e9360cc9ebbcf2d"
},
"ps": { "ps": {
"Package": "ps", "Package": "ps",
"Version": "1.5.0", "Version": "1.5.0",
@ -1038,13 +905,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "97def703420c8ab10d8f0e6c72101e02" "Hash": "97def703420c8ab10d8f0e6c72101e02"
}, },
"qap": {
"Package": "qap",
"Version": "0.1-1",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "753e69deffc32851121955ea150ecf8d"
},
"qgraph": { "qgraph": {
"Package": "qgraph", "Package": "qgraph",
"Version": "1.6.5", "Version": "1.6.5",
@ -1073,20 +933,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "63537c483c2dbec8d9e3183b3735254a" "Hash": "63537c483c2dbec8d9e3183b3735254a"
}, },
"recipes": {
"Package": "recipes",
"Version": "0.1.17",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "443951ef5d9e72a96405cbb0157bb1d4"
},
"registry": {
"Package": "registry",
"Version": "0.5-1",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "1c9935f4f14c6c096c9c9072ddee59f1"
},
"rematch": { "rematch": {
"Package": "rematch", "Package": "rematch",
"Version": "1.0.1", "Version": "1.0.1",
@ -1199,13 +1045,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "3838071b66e0c566d55cc26bd6e27bf4" "Hash": "3838071b66e0c566d55cc26bd6e27bf4"
}, },
"seriation": {
"Package": "seriation",
"Version": "1.3.1",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "76ad2df9a7784e78dfaebe1ac9e295c3"
},
"shape": { "shape": {
"Package": "shape", "Package": "shape",
"Version": "1.4.5", "Version": "1.4.5",
@ -1304,13 +1143,6 @@
"Repository": "CRAN", "Repository": "CRAN",
"Hash": "bd51be662f359fa99021f3d51e911490" "Hash": "bd51be662f359fa99021f3d51e911490"
}, },
"timeDate": {
"Package": "timeDate",
"Version": "3043.102",
"Source": "Repository",
"Repository": "CRAN",
"Hash": "fde4fc571f5f61978652c229d4713845"
},
"tinytex": { "tinytex": {
"Package": "tinytex", "Package": "tinytex",
"Version": "0.28", "Version": "0.28",

View File

@ -761,6 +761,22 @@ rule fitbit_sleep_intraday_r_features:
script: script:
"../src/features/entry.R" "../src/features/entry.R"
rule merge_sensor_features_for_individual_participants:
input:
feature_files = input_merge_sensor_features_for_individual_participants
output:
"data/processed/features/{pid}/all_sensor_features.csv"
script:
"../src/features/utils/merge_sensor_features_for_individual_participants.R"
rule merge_sensor_features_for_all_participants:
input:
feature_files = expand("data/processed/features/{pid}/all_sensor_features.csv", pid=config["PIDS"])
output:
"data/processed/features/all_participants/all_sensor_features.csv"
script:
"../src/features/utils/merge_sensor_features_for_all_participants.R"
rule empatica_accelerometer_python_features: rule empatica_accelerometer_python_features:
input: input:
sensor_data = "data/raw/{pid}/empatica_accelerometer_with_datetime.csv", sensor_data = "data/raw/{pid}/empatica_accelerometer_with_datetime.csv",
@ -942,46 +958,3 @@ rule empatica_tags_r_features:
"data/interim/{pid}/empatica_tags_features/empatica_tags_r_{provider_key}.csv" "data/interim/{pid}/empatica_tags_features/empatica_tags_r_{provider_key}.csv"
script: script:
"../src/features/entry.R" "../src/features/entry.R"
rule merge_sensor_features_for_individual_participants:
input:
feature_files = input_merge_sensor_features_for_individual_participants
output:
"data/processed/features/{pid}/all_sensor_features.csv"
script:
"../src/features/utils/merge_sensor_features_for_individual_participants.R"
rule merge_sensor_features_for_all_participants:
input:
feature_files = expand("data/processed/features/{pid}/all_sensor_features.csv", pid=config["PIDS"])
output:
"data/processed/features/all_participants/all_sensor_features.csv"
script:
"../src/features/utils/merge_sensor_features_for_all_participants.R"
rule clean_sensor_features_for_individual_participants:
input:
sensor_data = rules.merge_sensor_features_for_individual_participants.output
wildcard_constraints:
pid = "("+"|".join(config["PIDS"])+")"
params:
provider = lambda wildcards: config["ALL_CLEANING_INDIVIDUAL"]["PROVIDERS"][wildcards.provider_key.upper()],
provider_key = "{provider_key}",
sensor_key = "all_cleaning_individual"
output:
"data/processed/features/{pid}/all_sensor_features_cleaned_{provider_key}.csv"
script:
"../src/features/entry.R"
rule clean_sensor_features_for_all_participants:
input:
sensor_data = rules.merge_sensor_features_for_all_participants.output
params:
provider = lambda wildcards: config["ALL_CLEANING_OVERALL"]["PROVIDERS"][wildcards.provider_key.upper()],
provider_key = "{provider_key}",
sensor_key = "all_cleaning_overall"
output:
"data/processed/features/all_participants/all_sensor_features_cleaned_{provider_key}.csv"
script:
"../src/features/entry.R"

View File

@ -1,16 +1,165 @@
rule merge_baseline_data: rule download_demographic_data:
input:
data = expand(config["PARAMS_FOR_ANALYSIS"]["BASELINE"]["FOLDER"] + "/{container}", container=config["PARAMS_FOR_ANALYSIS"]["BASELINE"]["CONTAINER"])
output:
"data/raw/baseline_merged.csv"
script:
"../src/data/merge_baseline_data.py"
rule download_baseline_data:
input: input:
participant_file = "data/external/participant_files/{pid}.yaml", participant_file = "data/external/participant_files/{pid}.yaml",
data = "data/raw/baseline_merged.csv" data = config["PARAMS_FOR_ANALYSIS"]["DEMOGRAPHIC"]["FOLDER"] + "/" + config["PARAMS_FOR_ANALYSIS"]["DEMOGRAPHIC"]["CONTAINER"]
output: output:
"data/raw/{pid}/participant_baseline_raw.csv" "data/raw/{pid}/participant_info_raw.csv"
script: script:
"../src/data/download_baseline_data.py" "../src/data/workflow_example/download_demographic_data.R"
rule demographic_features:
input:
participant_info = "data/raw/{pid}/participant_info_raw.csv"
params:
pid = "{pid}",
features = config["PARAMS_FOR_ANALYSIS"]["DEMOGRAPHIC"]["FEATURES"]
output:
"data/processed/features/{pid}/demographic_features.csv"
script:
"../src/features/workflow_example/demographic_features.py"
rule download_target_data:
input:
participant_file = "data/external/participant_files/{pid}.yaml",
data = config["PARAMS_FOR_ANALYSIS"]["TARGET"]["FOLDER"] + "/" + config["PARAMS_FOR_ANALYSIS"]["TARGET"]["CONTAINER"]
output:
"data/raw/{pid}/participant_target_raw.csv"
script:
"../src/data/workflow_example/download_target_data.R"
rule target_readable_datetime:
input:
sensor_input = "data/raw/{pid}/participant_target_raw.csv",
time_segments = "data/interim/time_segments/{pid}_time_segments.csv",
pid_file = "data/external/participant_files/{pid}.yaml",
tzcodes_file = input_tzcodes_file,
params:
device_type = "fitbit",
timezone_parameters = config["TIMEZONE"],
pid = "{pid}",
time_segments_type = config["TIME_SEGMENTS"]["TYPE"],
include_past_periodic_segments = config["TIME_SEGMENTS"]["INCLUDE_PAST_PERIODIC_SEGMENTS"]
output:
"data/raw/{pid}/participant_target_with_datetime.csv"
script:
"../src/data/datetime/readable_datetime.R"
rule parse_targets:
input:
targets = "data/raw/{pid}/participant_target_with_datetime.csv",
time_segments_labels = "data/interim/time_segments/{pid}_time_segments_labels.csv"
output:
"data/processed/targets/{pid}/parsed_targets.csv"
script:
"../src/models/workflow_example/parse_targets.py"
rule clean_sensor_features_for_individual_participants:
input:
rules.merge_sensor_features_for_individual_participants.output
params:
cols_nan_threshold = config["PARAMS_FOR_ANALYSIS"]["COLS_NAN_THRESHOLD"],
cols_var_threshold = config["PARAMS_FOR_ANALYSIS"]["COLS_VAR_THRESHOLD"],
rows_nan_threshold = config["PARAMS_FOR_ANALYSIS"]["ROWS_NAN_THRESHOLD"],
data_yielded_hours_ratio_threshold = config["PARAMS_FOR_ANALYSIS"]["DATA_YIELDED_HOURS_RATIO_THRESHOLD"],
output:
"data/processed/features/{pid}/all_sensor_features_cleaned.csv"
script:
"../src/models/workflow_example/clean_sensor_features.R"
rule clean_sensor_features_for_all_participants:
input:
rules.merge_sensor_features_for_all_participants.output
params:
cols_nan_threshold = config["PARAMS_FOR_ANALYSIS"]["COLS_NAN_THRESHOLD"],
cols_var_threshold = config["PARAMS_FOR_ANALYSIS"]["COLS_VAR_THRESHOLD"],
rows_nan_threshold = config["PARAMS_FOR_ANALYSIS"]["ROWS_NAN_THRESHOLD"],
data_yielded_hours_ratio_threshold = config["PARAMS_FOR_ANALYSIS"]["DATA_YIELDED_HOURS_RATIO_THRESHOLD"],
output:
"data/processed/features/all_participants/all_sensor_features_cleaned.csv"
script:
"../src/models/workflow_example/clean_sensor_features.R"
rule merge_features_and_targets_for_individual_model:
input:
cleaned_sensor_features = "data/processed/features/{pid}/all_sensor_features_cleaned.csv",
targets = "data/processed/targets/{pid}/parsed_targets.csv",
output:
"data/processed/models/individual_model/{pid}/input.csv"
script:
"../src/models/workflow_example/merge_features_and_targets_for_individual_model.py"
rule merge_features_and_targets_for_population_model:
input:
cleaned_sensor_features = "data/processed/features/all_participants/all_sensor_features_cleaned.csv",
demographic_features = expand("data/processed/features/{pid}/demographic_features.csv", pid=config["PIDS"]),
targets = expand("data/processed/targets/{pid}/parsed_targets.csv", pid=config["PIDS"]),
output:
"data/processed/models/population_model/input.csv"
script:
"../src/models/workflow_example/merge_features_and_targets_for_population_model.py"
rule baselines_for_individual_model:
input:
"data/processed/models/individual_model/{pid}/input.csv"
params:
cv_method = "{cv_method}",
colnames_demographic_features = config["PARAMS_FOR_ANALYSIS"]["DEMOGRAPHIC"]["FEATURES"],
output:
"data/processed/models/individual_model/{pid}/output_{cv_method}/baselines.csv"
log:
"data/processed/models/individual_model/{pid}/output_{cv_method}/baselines_notes.log"
script:
"../src/models/workflow_example/baselines.py"
rule baselines_for_population_model:
input:
"data/processed/models/population_model/input.csv"
params:
cv_method = "{cv_method}",
colnames_demographic_features = config["PARAMS_FOR_ANALYSIS"]["DEMOGRAPHIC"]["FEATURES"],
output:
"data/processed/models/population_model/output_{cv_method}/baselines.csv"
log:
"data/processed/models/population_model/output_{cv_method}/baselines_notes.log"
script:
"../src/models/workflow_example/baselines.py"
rule modelling_for_individual_participants:
input:
data = "data/processed/models/individual_model/{pid}/input.csv"
params:
model = "{model}",
cv_method = "{cv_method}",
scaler = "{scaler}",
categorical_operators = config["PARAMS_FOR_ANALYSIS"]["CATEGORICAL_OPERATORS"],
categorical_demographic_features = config["PARAMS_FOR_ANALYSIS"]["DEMOGRAPHIC"]["CATEGORICAL_FEATURES"],
model_hyperparams = config["PARAMS_FOR_ANALYSIS"]["MODEL_HYPERPARAMS"],
output:
fold_predictions = "data/processed/models/individual_model/{pid}/output_{cv_method}/{model}/{scaler}/fold_predictions.csv",
fold_metrics = "data/processed/models/individual_model/{pid}/output_{cv_method}/{model}/{scaler}/fold_metrics.csv",
overall_results = "data/processed/models/individual_model/{pid}/output_{cv_method}/{model}/{scaler}/overall_results.csv",
fold_feature_importances = "data/processed/models/individual_model/{pid}/output_{cv_method}/{model}/{scaler}/fold_feature_importances.csv"
log:
"data/processed/models/individual_model/{pid}/output_{cv_method}/{model}/{scaler}/notes.log"
script:
"../src/models/workflow_example/modelling.py"
rule modelling_for_all_participants:
input:
data = "data/processed/models/population_model/input.csv"
params:
model = "{model}",
cv_method = "{cv_method}",
scaler = "{scaler}",
categorical_operators = config["PARAMS_FOR_ANALYSIS"]["CATEGORICAL_OPERATORS"],
categorical_demographic_features = config["PARAMS_FOR_ANALYSIS"]["DEMOGRAPHIC"]["CATEGORICAL_FEATURES"],
model_hyperparams = config["PARAMS_FOR_ANALYSIS"]["MODEL_HYPERPARAMS"],
output:
fold_predictions = "data/processed/models/population_model/output_{cv_method}/{model}/{scaler}/fold_predictions.csv",
fold_metrics = "data/processed/models/population_model/output_{cv_method}/{model}/{scaler}/fold_metrics.csv",
overall_results = "data/processed/models/population_model/output_{cv_method}/{model}/{scaler}/overall_results.csv",
fold_feature_importances = "data/processed/models/population_model/output_{cv_method}/{model}/{scaler}/fold_feature_importances.csv"
log:
"data/processed/models/population_model/output_{cv_method}/{model}/{scaler}/notes.log"
script:
"../src/models/workflow_example/modelling.py"

View File

@ -1,139 +0,0 @@
rule download_demographic_data:
input:
participant_file = "data/external/participant_files/{pid}.yaml",
data = config["PARAMS_FOR_ANALYSIS"]["DEMOGRAPHIC"]["FOLDER"] + "/" + config["PARAMS_FOR_ANALYSIS"]["DEMOGRAPHIC"]["CONTAINER"]
output:
"data/raw/{pid}/participant_info_raw.csv"
script:
"../src/data/workflow_example/download_demographic_data.R"
rule demographic_features:
input:
participant_info = "data/raw/{pid}/participant_info_raw.csv"
params:
pid = "{pid}",
features = config["PARAMS_FOR_ANALYSIS"]["DEMOGRAPHIC"]["FEATURES"]
output:
"data/processed/features/{pid}/demographic_features.csv"
script:
"../src/features/workflow_example/demographic_features.py"
rule download_target_data:
input:
participant_file = "data/external/participant_files/{pid}.yaml",
data = config["PARAMS_FOR_ANALYSIS"]["TARGET"]["FOLDER"] + "/" + config["PARAMS_FOR_ANALYSIS"]["TARGET"]["CONTAINER"]
output:
"data/raw/{pid}/participant_target_raw.csv"
script:
"../src/data/workflow_example/download_target_data.R"
rule target_readable_datetime:
input:
sensor_input = "data/raw/{pid}/participant_target_raw.csv",
time_segments = "data/interim/time_segments/{pid}_time_segments.csv",
pid_file = "data/external/participant_files/{pid}.yaml",
tzcodes_file = input_tzcodes_file,
params:
device_type = "fitbit",
timezone_parameters = config["TIMEZONE"],
pid = "{pid}",
time_segments_type = config["TIME_SEGMENTS"]["TYPE"],
include_past_periodic_segments = config["TIME_SEGMENTS"]["INCLUDE_PAST_PERIODIC_SEGMENTS"]
output:
"data/raw/{pid}/participant_target_with_datetime.csv"
script:
"../src/data/datetime/readable_datetime.R"
rule parse_targets:
input:
targets = "data/raw/{pid}/participant_target_with_datetime.csv",
time_segments_labels = "data/interim/time_segments/{pid}_time_segments_labels.csv"
output:
"data/processed/targets/{pid}/parsed_targets.csv"
script:
"../src/models/workflow_example/parse_targets.py"
rule merge_features_and_targets_for_individual_model:
input:
cleaned_sensor_features = "data/processed/features/{pid}/all_sensor_features_cleaned_rapids.csv",
targets = "data/processed/targets/{pid}/parsed_targets.csv",
output:
"data/processed/models/individual_model/{pid}/input.csv"
script:
"../src/models/workflow_example/merge_features_and_targets_for_individual_model.py"
rule merge_features_and_targets_for_population_model:
input:
cleaned_sensor_features = "data/processed/features/all_participants/all_sensor_features_cleaned_rapids.csv",
demographic_features = expand("data/processed/features/{pid}/demographic_features.csv", pid=config["PIDS"]),
targets = expand("data/processed/targets/{pid}/parsed_targets.csv", pid=config["PIDS"]),
output:
"data/processed/models/population_model/input.csv"
script:
"../src/models/workflow_example/merge_features_and_targets_for_population_model.py"
rule baselines_for_individual_model:
input:
"data/processed/models/individual_model/{pid}/input.csv"
params:
cv_method = "{cv_method}",
colnames_demographic_features = config["PARAMS_FOR_ANALYSIS"]["DEMOGRAPHIC"]["FEATURES"],
output:
"data/processed/models/individual_model/{pid}/output_{cv_method}/baselines.csv"
log:
"data/processed/models/individual_model/{pid}/output_{cv_method}/baselines_notes.log"
script:
"../src/models/workflow_example/baselines.py"
rule baselines_for_population_model:
input:
"data/processed/models/population_model/input.csv"
params:
cv_method = "{cv_method}",
colnames_demographic_features = config["PARAMS_FOR_ANALYSIS"]["DEMOGRAPHIC"]["FEATURES"],
output:
"data/processed/models/population_model/output_{cv_method}/baselines.csv"
log:
"data/processed/models/population_model/output_{cv_method}/baselines_notes.log"
script:
"../src/models/workflow_example/baselines.py"
rule modelling_for_individual_participants:
input:
data = "data/processed/models/individual_model/{pid}/input.csv"
params:
model = "{model}",
cv_method = "{cv_method}",
scaler = "{scaler}",
categorical_operators = config["PARAMS_FOR_ANALYSIS"]["CATEGORICAL_OPERATORS"],
categorical_demographic_features = config["PARAMS_FOR_ANALYSIS"]["DEMOGRAPHIC"]["CATEGORICAL_FEATURES"],
model_hyperparams = config["PARAMS_FOR_ANALYSIS"]["MODEL_HYPERPARAMS"],
output:
fold_predictions = "data/processed/models/individual_model/{pid}/output_{cv_method}/{model}/{scaler}/fold_predictions.csv",
fold_metrics = "data/processed/models/individual_model/{pid}/output_{cv_method}/{model}/{scaler}/fold_metrics.csv",
overall_results = "data/processed/models/individual_model/{pid}/output_{cv_method}/{model}/{scaler}/overall_results.csv",
fold_feature_importances = "data/processed/models/individual_model/{pid}/output_{cv_method}/{model}/{scaler}/fold_feature_importances.csv"
log:
"data/processed/models/individual_model/{pid}/output_{cv_method}/{model}/{scaler}/notes.log"
script:
"../src/models/workflow_example/modelling.py"
rule modelling_for_all_participants:
input:
data = "data/processed/models/population_model/input.csv"
params:
model = "{model}",
cv_method = "{cv_method}",
scaler = "{scaler}",
categorical_operators = config["PARAMS_FOR_ANALYSIS"]["CATEGORICAL_OPERATORS"],
categorical_demographic_features = config["PARAMS_FOR_ANALYSIS"]["DEMOGRAPHIC"]["CATEGORICAL_FEATURES"],
model_hyperparams = config["PARAMS_FOR_ANALYSIS"]["MODEL_HYPERPARAMS"],
output:
fold_predictions = "data/processed/models/population_model/output_{cv_method}/{model}/{scaler}/fold_predictions.csv",
fold_metrics = "data/processed/models/population_model/output_{cv_method}/{model}/{scaler}/fold_metrics.csv",
overall_results = "data/processed/models/population_model/output_{cv_method}/{model}/{scaler}/overall_results.csv",
fold_feature_importances = "data/processed/models/population_model/output_{cv_method}/{model}/{scaler}/fold_feature_importances.csv"
log:
"data/processed/models/population_model/output_{cv_method}/{model}/{scaler}/notes.log"
script:
"../src/models/workflow_example/modelling.py"

View File

@ -27,7 +27,7 @@ rule prepare_participants_csv:
params: params:
data_configuration = config["PHONE_DATA_STREAMS"][config["PHONE_DATA_STREAMS"]["USE"]], data_configuration = config["PHONE_DATA_STREAMS"][config["PHONE_DATA_STREAMS"]["USE"]],
participants_table = "participants", participants_table = "participants",
device_id_table = "esm", device_id_table = "light_sensor",
start_end_date_table = "esm" start_end_date_table = "esm"
output: output:
participants_file = config["CREATE_PARTICIPANT_FILES"]["CSV_FILE_PATH"] participants_file = config["CREATE_PARTICIPANT_FILES"]["CSV_FILE_PATH"]

View File

@ -34,8 +34,6 @@ update_catalogue_file <- snakemake@params[["update_catalogue_file"]]
scrape_missing_genres <- snakemake@params[["scrape_missing_genres"]] scrape_missing_genres <- snakemake@params[["scrape_missing_genres"]]
apps_with_genre <- data.frame(matrix(ncol=length(colnames(apps)) + 1,nrow=0, dimnames=list(NULL, c(colnames(apps), "genre")))) apps_with_genre <- data.frame(matrix(ncol=length(colnames(apps)) + 1,nrow=0, dimnames=list(NULL, c(colnames(apps), "genre"))))
if (length(package_names_hashed) == 0) {package_names_hashed <- FALSE}
if(nrow(apps) > 0){ if(nrow(apps) > 0){
if(catalogue_source == "GOOGLE"){ if(catalogue_source == "GOOGLE"){
apps_with_genre <- apps %>% mutate(genre = NA_character_) apps_with_genre <- apps %>% mutate(genre = NA_character_)

View File

@ -1,14 +0,0 @@
import pandas as pd
import yaml
filename = snakemake.input["data"]
baseline = pd.read_csv(filename)
with open(snakemake.input["participant_file"], "r") as file:
participant = yaml.safe_load(file)
username = participant["PHONE"]["LABEL"]
baseline[baseline["username"] == username].to_csv(snakemake.output[0],
index=False,
encoding="utf-8",)

View File

@ -1,34 +0,0 @@
import pandas as pd
VARIABLES_TO_TRANSLATE = {
"Gebruikersnaam": "username",
"Geslacht": "gender",
"Geboortedatum": "date_of_birth",
}
filenames = snakemake.input["data"]
baseline_dfs = []
for fn in filenames:
baseline_dfs.append(pd.read_csv(fn,
parse_dates=["Geboortedatum"],
infer_datetime_format=True,
cache_dates=True,
))
baseline = (
pd.concat(baseline_dfs, join="inner")
.reset_index()
.drop(columns="index")
)
baseline.rename(columns=VARIABLES_TO_TRANSLATE, copy=False, inplace=True)
now = pd.Timestamp("now")
baseline = baseline.assign(
age=lambda x: (now - x.date_of_birth).dt.days / 365.25245,
)
baseline.to_csv(snakemake.output[0],
index=False,
encoding="utf-8",)

View File

@ -72,7 +72,7 @@ PHONE_APPLICATIONS_FOREGROUND:
MUTATION: MUTATION:
COLUMN_MAPPINGS: COLUMN_MAPPINGS:
SCRIPTS: SCRIPTS:
- src/data/streams/mutations/phone/straw/app_add_name.R - src/data/streams/mutations/phone/straw/app_add_name.py
PHONE_APPLICATIONS_NOTIFICATIONS: PHONE_APPLICATIONS_NOTIFICATIONS:
ANDROID: ANDROID:
@ -86,7 +86,7 @@ PHONE_APPLICATIONS_NOTIFICATIONS:
MUTATION: MUTATION:
COLUMN_MAPPINGS: COLUMN_MAPPINGS:
SCRIPTS: SCRIPTS:
- src/data/streams/mutations/phone/straw/app_add_name.R - src/data/streams/mutations/phone/straw/app_add_name.py
PHONE_BATTERY: PHONE_BATTERY:
ANDROID: ANDROID:

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@ -1,8 +0,0 @@
source("renv/activate.R") # needed to use RAPIDS renv environment
library(dplyr)
main <- function(data, stream_parameters){
data <- data %>%
mutate(application_name = "hashed")
return(data)
}

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@ -31,7 +31,6 @@ prepare_participants_file <- function() {
device_ids <- pull_participants_device_ids(data_configuration, participant_data$participant_id, device_id_container) device_ids <- pull_participants_device_ids(data_configuration, participant_data$participant_id, device_id_container)
device_ids %<>% device_ids %<>%
filter(device_id != "") %>%
group_by(participant_id) %>% group_by(participant_id) %>%
summarise(device_ids = list(unique(device_id))) summarise(device_ids = list(unique(device_id)))
participant_data %<>% participant_data %<>%

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@ -1,87 +0,0 @@
source("renv/activate.R")
library(tidyr)
library("dplyr", warn.conflicts = F)
library(tidyverse)
library(caret)
library(corrr)
rapids_cleaning <- function(sensor_data_files, provider){
clean_features <- read.csv(sensor_data_files[["sensor_data"]], stringsAsFactors = FALSE)
impute_selected_event_features <- provider[["IMPUTE_SELECTED_EVENT_FEATURES"]]
cols_nan_threshold <- as.numeric(provider[["COLS_NAN_THRESHOLD"]])
drop_zero_variance_columns <- as.logical(provider[["COLS_VAR_THRESHOLD"]])
rows_nan_threshold <- as.numeric(provider[["ROWS_NAN_THRESHOLD"]])
data_yield_unit <- tolower(str_split_fixed(provider[["DATA_YIELD_FEATURE"]], "_", 4)[[4]])
data_yield_column <- paste0("phone_data_yield_rapids_ratiovalidyielded", data_yield_unit)
data_yield_ratio_threshold <- as.numeric(provider[["DATA_YIELD_RATIO_THRESHOLD"]])
drop_highly_correlated_features <- provider[["DROP_HIGHLY_CORRELATED_FEATURES"]]
# Impute selected event features
if(as.logical(impute_selected_event_features$COMPUTE)){
if(!"phone_data_yield_rapids_ratiovalidyieldedminutes" %in% colnames(clean_features)){
stop("Error: RAPIDS provider needs to impute the selected event features based on phone_data_yield_rapids_ratiovalidyieldedminutes column, please set config[PHONE_DATA_YIELD][PROVIDERS][RAPIDS][COMPUTE] to True and include 'ratiovalidyieldedminutes' in [FEATURES].")
}
column_names <- colnames(clean_features)
selected_apps_features <- column_names[grepl("^phone_applications_foreground_rapids_(countevent|countepisode|minduration|maxduration|meanduration|sumduration)", column_names)]
selected_battery_features <- column_names[grepl("^phone_battery_rapids_", column_names)]
selected_calls_features <- column_names[grepl("^phone_calls_rapids_.*_(count|distinctcontacts|sumduration|minduration|maxduration|meanduration|modeduration)", column_names)]
selected_keyboard_features <- column_names[grepl("^phone_keyboard_rapids_(sessioncount|averagesessionlength|changeintextlengthlessthanminusone|changeintextlengthequaltominusone|changeintextlengthequaltoone|changeintextlengthmorethanone|maxtextlength|totalkeyboardtouches)", column_names)]
selected_messages_features <- column_names[grepl("^phone_messages_rapids_.*_(count|distinctcontacts)", column_names)]
selected_screen_features <- column_names[grepl("^phone_screen_rapids_(sumduration|maxduration|minduration|avgduration|countepisode)", column_names)]
selected_wifi_features <- column_names[grepl("^phone_wifi_(connected|visible)_rapids_", column_names)]
selected_columns <- c(selected_apps_features, selected_battery_features, selected_calls_features, selected_keyboard_features, selected_messages_features, selected_screen_features, selected_wifi_features)
clean_features[selected_columns][is.na(clean_features[selected_columns]) & (clean_features$phone_data_yield_rapids_ratiovalidyieldedminutes > impute_selected_event_features$MIN_DATA_YIELDED_MINUTES_TO_IMPUTE)] <- 0
}
# Drop rows with the value of data_yield_column less than data_yield_ratio_threshold
if(!data_yield_column %in% colnames(clean_features)){
stop(paste0("Error: RAPIDS provider needs to clean data based on ", data_yield_column, " column, please set config[PHONE_DATA_YIELD][PROVIDERS][RAPIDS][COMPUTE] to True and include 'ratiovalidyielded", data_yield_unit, "' in [FEATURES]."))
}
clean_features <- clean_features %>%
filter(.[[data_yield_column]] >= data_yield_ratio_threshold)
# Drop columns with a percentage of NA values above cols_nan_threshold
if(nrow(clean_features))
clean_features <- clean_features %>% select_if(~ sum(is.na(.)) / length(.) <= cols_nan_threshold )
# Drop columns with zero variance
if(drop_zero_variance_columns)
clean_features <- clean_features %>% select_if(grepl("pid|local_segment|local_segment_label|local_segment_start_datetime|local_segment_end_datetime",names(.)) | sapply(., n_distinct, na.rm = T) > 1)
# Drop highly correlated features
if(as.logical(drop_highly_correlated_features$COMPUTE)){
min_overlap_for_corr_threshold <- as.numeric(drop_highly_correlated_features$MIN_OVERLAP_FOR_CORR_THRESHOLD)
corr_threshold <- as.numeric(drop_highly_correlated_features$CORR_THRESHOLD)
features_for_corr <- clean_features %>%
select_if(is.numeric) %>%
select_if(sapply(., n_distinct, na.rm = T) > 1)
valid_pairs <- crossprod(!is.na(features_for_corr)) >= min_overlap_for_corr_threshold * nrow(features_for_corr)
if((nrow(features_for_corr) != 0) & (ncol(features_for_corr) != 0)){
highly_correlated_features <- features_for_corr %>%
correlate(use = "pairwise.complete.obs", method = "spearman") %>%
column_to_rownames(., var = "term") %>%
as.matrix() %>%
replace(!valid_pairs | is.na(.), 0) %>%
findCorrelation(., cutoff = corr_threshold, verbose = F, names = T)
clean_features <- clean_features[, !names(clean_features) %in% highly_correlated_features]
}
}
# Drop rows with a percentage of NA values above rows_nan_threshold
clean_features <- clean_features %>%
mutate(percentage_na = rowSums(is.na(.)) / ncol(.)) %>%
filter(percentage_na <= rows_nan_threshold) %>%
select(-percentage_na)
return(clean_features)
}

View File

@ -1,87 +0,0 @@
source("renv/activate.R")
library(tidyr)
library("dplyr", warn.conflicts = F)
library(tidyverse)
library(caret)
library(corrr)
rapids_cleaning <- function(sensor_data_files, provider){
clean_features <- read.csv(sensor_data_files[["sensor_data"]], stringsAsFactors = FALSE)
impute_selected_event_features <- provider[["IMPUTE_SELECTED_EVENT_FEATURES"]]
cols_nan_threshold <- as.numeric(provider[["COLS_NAN_THRESHOLD"]])
drop_zero_variance_columns <- as.logical(provider[["COLS_VAR_THRESHOLD"]])
rows_nan_threshold <- as.numeric(provider[["ROWS_NAN_THRESHOLD"]])
data_yield_unit <- tolower(str_split_fixed(provider[["DATA_YIELD_FEATURE"]], "_", 4)[[4]])
data_yield_column <- paste0("phone_data_yield_rapids_ratiovalidyielded", data_yield_unit)
data_yield_ratio_threshold <- as.numeric(provider[["DATA_YIELD_RATIO_THRESHOLD"]])
drop_highly_correlated_features <- provider[["DROP_HIGHLY_CORRELATED_FEATURES"]]
# Impute selected event features
if(as.logical(impute_selected_event_features$COMPUTE)){
if(!"phone_data_yield_rapids_ratiovalidyieldedminutes" %in% colnames(clean_features)){
stop("Error: RAPIDS provider needs to impute the selected event features based on phone_data_yield_rapids_ratiovalidyieldedminutes column, please set config[PHONE_DATA_YIELD][PROVIDERS][RAPIDS][COMPUTE] to True and include 'ratiovalidyieldedminutes' in [FEATURES].")
}
column_names <- colnames(clean_features)
selected_apps_features <- column_names[grepl("^phone_applications_foreground_rapids_(countevent|countepisode|minduration|maxduration|meanduration|sumduration)", column_names)]
selected_battery_features <- column_names[grepl("^phone_battery_rapids_", column_names)]
selected_calls_features <- column_names[grepl("^phone_calls_rapids_.*_(count|distinctcontacts|sumduration|minduration|maxduration|meanduration|modeduration)", column_names)]
selected_keyboard_features <- column_names[grepl("^phone_keyboard_rapids_(sessioncount|averagesessionlength|changeintextlengthlessthanminusone|changeintextlengthequaltominusone|changeintextlengthequaltoone|changeintextlengthmorethanone|maxtextlength|totalkeyboardtouches)", column_names)]
selected_messages_features <- column_names[grepl("^phone_messages_rapids_.*_(count|distinctcontacts)", column_names)]
selected_screen_features <- column_names[grepl("^phone_screen_rapids_(sumduration|maxduration|minduration|avgduration|countepisode)", column_names)]
selected_wifi_features <- column_names[grepl("^phone_wifi_(connected|visible)_rapids_", column_names)]
selected_columns <- c(selected_apps_features, selected_battery_features, selected_calls_features, selected_keyboard_features, selected_messages_features, selected_screen_features, selected_wifi_features)
clean_features[selected_columns][is.na(clean_features[selected_columns]) & (clean_features$phone_data_yield_rapids_ratiovalidyieldedminutes > impute_selected_event_features$MIN_DATA_YIELDED_MINUTES_TO_IMPUTE)] <- 0
}
# Drop rows with the value of data_yield_column less than data_yield_ratio_threshold
if(!data_yield_column %in% colnames(clean_features)){
stop(paste0("Error: RAPIDS provider needs to clean data based on ", data_yield_column, " column, please set config[PHONE_DATA_YIELD][PROVIDERS][RAPIDS][COMPUTE] to True and include 'ratiovalidyielded", data_yield_unit, "' in [FEATURES]."))
}
clean_features <- clean_features %>%
filter(.[[data_yield_column]] >= data_yield_ratio_threshold)
# Drop columns with a percentage of NA values above cols_nan_threshold
if(nrow(clean_features))
clean_features <- clean_features %>% select_if(~ sum(is.na(.)) / length(.) <= cols_nan_threshold )
# Drop columns with zero variance
if(drop_zero_variance_columns)
clean_features <- clean_features %>% select_if(grepl("pid|local_segment|local_segment_label|local_segment_start_datetime|local_segment_end_datetime",names(.)) | sapply(., n_distinct, na.rm = T) > 1)
# Drop highly correlated features
if(as.logical(drop_highly_correlated_features$COMPUTE)){
min_overlap_for_corr_threshold <- as.numeric(drop_highly_correlated_features$MIN_OVERLAP_FOR_CORR_THRESHOLD)
corr_threshold <- as.numeric(drop_highly_correlated_features$CORR_THRESHOLD)
features_for_corr <- clean_features %>%
select_if(is.numeric) %>%
select_if(sapply(., n_distinct, na.rm = T) > 1)
valid_pairs <- crossprod(!is.na(features_for_corr)) >= min_overlap_for_corr_threshold * nrow(features_for_corr)
if((nrow(features_for_corr) != 0) & (ncol(features_for_corr) != 0)){
highly_correlated_features <- features_for_corr %>%
correlate(use = "pairwise.complete.obs", method = "spearman") %>%
column_to_rownames(., var = "term") %>%
as.matrix() %>%
replace(!valid_pairs | is.na(.), 0) %>%
findCorrelation(., cutoff = corr_threshold, verbose = F, names = T)
clean_features <- clean_features[, !names(clean_features) %in% highly_correlated_features]
}
}
# Drop rows with a percentage of NA values above rows_nan_threshold
clean_features <- clean_features %>%
mutate(percentage_na = rowSums(is.na(.)) / ncol(.)) %>%
filter(percentage_na <= rows_nan_threshold) %>%
select(-percentage_na)
return(clean_features)
}

View File

@ -4,19 +4,13 @@ library("dplyr",warn.conflicts = F)
library("tidyr") library("tidyr")
sensor_data_files <- snakemake@input sensor_data_files <- snakemake@input
sensor_data_files$time_segments_labels <- NULL
time_segments_file <- snakemake@input[["time_segments_labels"]]
provider <- snakemake@params["provider"][["provider"]] provider <- snakemake@params["provider"][["provider"]]
provider_key <- snakemake@params["provider_key"] provider_key <- snakemake@params["provider_key"]
sensor_key <- snakemake@params["sensor_key"] sensor_key <- snakemake@params["sensor_key"]
if(sensor_key == "all_cleaning_individual" | sensor_key == "all_cleaning_overall"){ sensor_features <- fetch_provider_features(provider, provider_key, sensor_key, sensor_data_files, time_segments_file)
# Data cleaning
sensor_features = run_provider_cleaning_script(provider, provider_key, sensor_key, sensor_data_files)
}else{
# Extract sensor features
sensor_data_files$time_segments_labels <- NULL
time_segments_file <- snakemake@input[["time_segments_labels"]]
sensor_features <- fetch_provider_features(provider, provider_key, sensor_key, sensor_data_files, time_segments_file)
}
write.csv(sensor_features, snakemake@output[[1]], row.names = FALSE) write.csv(sensor_features, snakemake@output[[1]], row.names = FALSE)

View File

@ -1,19 +1,14 @@
import pandas as pd import pandas as pd
from utils.utils import fetch_provider_features, run_provider_cleaning_script from utils.utils import fetch_provider_features
sensor_data_files = dict(snakemake.input) sensor_data_files = dict(snakemake.input)
del sensor_data_files["time_segments_labels"]
time_segments_file = snakemake.input["time_segments_labels"]
provider = snakemake.params["provider"] provider = snakemake.params["provider"]
provider_key = snakemake.params["provider_key"] provider_key = snakemake.params["provider_key"]
sensor_key = snakemake.params["sensor_key"] sensor_key = snakemake.params["sensor_key"]
if sensor_key == "all_cleaning_individual" or sensor_key == "all_cleaning_overall": sensor_features = fetch_provider_features(provider, provider_key, sensor_key, sensor_data_files, time_segments_file)
# Data cleaning
sensor_features = run_provider_cleaning_script(provider, provider_key, sensor_key, sensor_data_files)
else:
# Extract sensor features
del sensor_data_files["time_segments_labels"]
time_segments_file = snakemake.input["time_segments_labels"]
sensor_features = fetch_provider_features(provider, provider_key, sensor_key, sensor_data_files, time_segments_file)
sensor_features.to_csv(snakemake.output[0], index=False) sensor_features.to_csv(snakemake.output[0], index=False)

View File

@ -1,10 +1,9 @@
import pandas as pd import pandas as pd
import numpy as np import numpy as np
def statsFeatures(steps_data, features_to_compute, features_type, steps_features, *args, **kwargs): def statsFeatures(steps_data, features_to_compute, features_type, steps_features):
if features_type == "steps" or features_type == "sumsteps": if features_type == "steps" or features_type == "sumsteps":
col_name = "steps" col_name = "steps"
reference_hour = kwargs["reference_hour"]
elif features_type == "durationsedentarybout" or features_type == "durationactivebout": elif features_type == "durationsedentarybout" or features_type == "durationactivebout":
col_name = "duration" col_name = "duration"
else: else:
@ -24,10 +23,6 @@ def statsFeatures(steps_data, features_to_compute, features_type, steps_features
steps_features["median" + features_type] = steps_data.groupby(["local_segment"])[col_name].median() steps_features["median" + features_type] = steps_data.groupby(["local_segment"])[col_name].median()
if "std" + features_type in features_to_compute: if "std" + features_type in features_to_compute:
steps_features["std" + features_type] = steps_data.groupby(["local_segment"])[col_name].std() steps_features["std" + features_type] = steps_data.groupby(["local_segment"])[col_name].std()
if (col_name == "steps") and ("firststeptime" in features_to_compute):
steps_features["firststeptime"] = steps_data[steps_data["steps"].ne(0)].groupby(["local_segment"])["local_time"].first().apply(lambda x: (int(x.split(":")[0]) - reference_hour) * 60 + int(x.split(":")[1]) + (int(x.split(":")[2]) / 60))
if (col_name == "steps") and ("laststeptime" in features_to_compute):
steps_features["laststeptime"] = steps_data[steps_data["steps"].ne(0)].groupby(["local_segment"])["local_time"].last().apply(lambda x: (int(x.split(":")[0]) - reference_hour) * 60 + int(x.split(":")[1]) + (int(x.split(":")[2]) / 60))
return steps_features return steps_features
@ -43,11 +38,11 @@ def getBouts(steps_data):
return bouts return bouts
def extractStepsFeaturesFromIntradayData(steps_intraday_data, reference_hour, threshold_active_bout, intraday_features_to_compute_steps, intraday_features_to_compute_sedentarybout, intraday_features_to_compute_activebout, steps_intraday_features): def extractStepsFeaturesFromIntradayData(steps_intraday_data, threshold_active_bout, intraday_features_to_compute_steps, intraday_features_to_compute_sedentarybout, intraday_features_to_compute_activebout, steps_intraday_features):
steps_intraday_features = pd.DataFrame() steps_intraday_features = pd.DataFrame()
# statistics features of steps count # statistics features of steps count
steps_intraday_features = statsFeatures(steps_intraday_data, intraday_features_to_compute_steps, "steps", steps_intraday_features, reference_hour=reference_hour) steps_intraday_features = statsFeatures(steps_intraday_data, intraday_features_to_compute_steps, "steps", steps_intraday_features)
# sedentary bout: less than THRESHOLD_ACTIVE_BOUT (default: 10) steps in a minute # sedentary bout: less than THRESHOLD_ACTIVE_BOUT (default: 10) steps in a minute
# active bout: greater or equal to THRESHOLD_ACTIVE_BOUT (default: 10) steps in a minute # active bout: greater or equal to THRESHOLD_ACTIVE_BOUT (default: 10) steps in a minute
@ -71,7 +66,6 @@ def extractStepsFeaturesFromIntradayData(steps_intraday_data, reference_hour, th
def rapids_features(sensor_data_files, time_segment, provider, filter_data_by_segment, *args, **kwargs): def rapids_features(sensor_data_files, time_segment, provider, filter_data_by_segment, *args, **kwargs):
reference_hour = provider["REFERENCE_HOUR"]
threshold_active_bout = provider["THRESHOLD_ACTIVE_BOUT"] threshold_active_bout = provider["THRESHOLD_ACTIVE_BOUT"]
include_zero_step_rows = provider["INCLUDE_ZERO_STEP_ROWS"] include_zero_step_rows = provider["INCLUDE_ZERO_STEP_ROWS"]
@ -79,11 +73,11 @@ def rapids_features(sensor_data_files, time_segment, provider, filter_data_by_se
requested_intraday_features = provider["FEATURES"] requested_intraday_features = provider["FEATURES"]
requested_intraday_features_steps = [x + "steps" if x not in ["firststeptime", "laststeptime"] else x for x in requested_intraday_features["STEPS"]] requested_intraday_features_steps = [x + "steps" for x in requested_intraday_features["STEPS"]]
requested_intraday_features_sedentarybout = [x + "sedentarybout" for x in requested_intraday_features["SEDENTARY_BOUT"]] requested_intraday_features_sedentarybout = [x + "sedentarybout" for x in requested_intraday_features["SEDENTARY_BOUT"]]
requested_intraday_features_activebout = [x + "activebout" for x in requested_intraday_features["ACTIVE_BOUT"]] requested_intraday_features_activebout = [x + "activebout" for x in requested_intraday_features["ACTIVE_BOUT"]]
# name of the features this function can compute # name of the features this function can compute
base_intraday_features_steps = ["sumsteps", "maxsteps", "minsteps", "avgsteps", "stdsteps", "firststeptime", "laststeptime"] base_intraday_features_steps = ["sumsteps", "maxsteps", "minsteps", "avgsteps", "stdsteps"]
base_intraday_features_sedentarybout = ["countepisodesedentarybout", "sumdurationsedentarybout", "maxdurationsedentarybout", "mindurationsedentarybout", "avgdurationsedentarybout", "stddurationsedentarybout"] base_intraday_features_sedentarybout = ["countepisodesedentarybout", "sumdurationsedentarybout", "maxdurationsedentarybout", "mindurationsedentarybout", "avgdurationsedentarybout", "stddurationsedentarybout"]
base_intraday_features_activebout = ["countepisodeactivebout", "sumdurationactivebout", "maxdurationactivebout", "mindurationactivebout", "avgdurationactivebout", "stddurationactivebout"] base_intraday_features_activebout = ["countepisodeactivebout", "sumdurationactivebout", "maxdurationactivebout", "mindurationactivebout", "avgdurationactivebout", "stddurationactivebout"]
# the subset of requested features this function can compute # the subset of requested features this function can compute
@ -105,6 +99,6 @@ def rapids_features(sensor_data_files, time_segment, provider, filter_data_by_se
steps_intraday_data = filter_data_by_segment(steps_intraday_data, time_segment) steps_intraday_data = filter_data_by_segment(steps_intraday_data, time_segment)
if not steps_intraday_data.empty: if not steps_intraday_data.empty:
steps_intraday_features = extractStepsFeaturesFromIntradayData(steps_intraday_data, reference_hour, threshold_active_bout, intraday_features_to_compute_steps, intraday_features_to_compute_sedentarybout, intraday_features_to_compute_activebout, steps_intraday_features) steps_intraday_features = extractStepsFeaturesFromIntradayData(steps_intraday_data, threshold_active_bout, intraday_features_to_compute_steps, intraday_features_to_compute_sedentarybout, intraday_features_to_compute_activebout, steps_intraday_features)
return steps_intraday_features return steps_intraday_features

View File

@ -1,4 +1,5 @@
import pandas as pd import pandas as pd
import numpy as np
def rapids_features(sensor_data_files, time_segment, provider, filter_data_by_segment, *args, **kwargs): def rapids_features(sensor_data_files, time_segment, provider, filter_data_by_segment, *args, **kwargs):
@ -30,13 +31,11 @@ def rapids_features(sensor_data_files, time_segment, provider, filter_data_by_se
if "duration" + column.lower() in features_to_compute: if "duration" + column.lower() in features_to_compute:
filtered_data = ar_episodes[ar_episodes["activity_name"].isin(pd.Series(activity_labels))] filtered_data = ar_episodes[ar_episodes["activity_name"].isin(pd.Series(activity_labels))]
if not filtered_data.empty: if not filtered_data.empty:
ar_features["duration" + column.lower()] = ar_episodes[ar_episodes["activity_name"].isin(pd.Series(activity_labels))].groupby(["local_segment"])["duration"].sum() ar_features["duration" + column.lower()] = ar_episodes[ar_episodes["activity_name"].isin(pd.Series(activity_labels))].groupby(["local_segment"])["duration"].sum().fillna(0)
else: else:
ar_features["duration" + column.lower()] = 0 ar_features["duration" + column.lower()] = 0
ar_features.index.names = ["local_segment"] ar_features.index.names = ["local_segment"]
ar_features = ar_features.reset_index() ar_features = ar_features.reset_index()
ar_features.fillna(value={"count": 0, "countuniqueactivities": 0, "durationstationary": 0, "durationmobile": 0, "durationvehicle": 0}, inplace=True)
return ar_features return ar_features

View File

@ -26,23 +26,40 @@ def compute_features(filtered_data, apps_type, requested_features, apps_features
apps_features["frequencyentropy" + apps_type] = apps_with_count.groupby("local_segment")["timestamp"].agg(entropy) apps_features["frequencyentropy" + apps_type] = apps_with_count.groupby("local_segment")["timestamp"].agg(entropy)
if "countevent" in requested_features: if "countevent" in requested_features:
apps_features["countevent" + apps_type] = filtered_data.groupby(["local_segment"]).count()["timestamp"] apps_features["countevent" + apps_type] = filtered_data.groupby(["local_segment"]).count()["timestamp"]
apps_features.fillna(value={"countevent" + apps_type: 0}, inplace=True)
if "countepisode" in requested_features: if "countepisode" in requested_features:
apps_features["countepisode" + apps_type] = filtered_data.groupby(["local_segment"]).count()["start_timestamp"] apps_features["countepisode" + apps_type] = filtered_data.groupby(["local_segment"]).count()["start_timestamp"]
apps_features.fillna(value={"countepisode" + apps_type: 0}, inplace=True)
if "minduration" in requested_features: if "minduration" in requested_features:
apps_features["minduration" + apps_type] = filtered_data.groupby(by = ["local_segment"])["duration"].min() grouped_data = filtered_data.groupby(by = ['local_segment'])['duration'].min()
if grouped_data.empty:
apps_features["minduration" + apps_type] = np.nan
else:
apps_features["minduration" + apps_type] = grouped_data
if "maxduration" in requested_features: if "maxduration" in requested_features:
apps_features["maxduration" + apps_type] = filtered_data.groupby(by = ["local_segment"])["duration"].max() grouped_data = filtered_data.groupby(by = ['local_segment'])['duration'].max()
if grouped_data.empty:
apps_features["maxduration" + apps_type] = np.nan
else:
apps_features["maxduration" + apps_type] = grouped_data
if "meanduration" in requested_features: if "meanduration" in requested_features:
apps_features["meanduration" + apps_type] = filtered_data.groupby(by = ["local_segment"])["duration"].mean() grouped_data = filtered_data.groupby(by = ['local_segment'])['duration'].mean()
if grouped_data.empty:
apps_features["meanduration" + apps_type] = np.nan
else:
apps_features["meanduration" + apps_type] = grouped_data
if "sumduration" in requested_features: if "sumduration" in requested_features:
apps_features["sumduration" + apps_type] = filtered_data.groupby(by = ["local_segment"])["duration"].sum() grouped_data = filtered_data.groupby(by = ['local_segment'])['duration'].sum()
if grouped_data.empty:
apps_features.index.names = ["local_segment"] apps_features["sumduration" + apps_type] = np.nan
else:
apps_features["sumduration" + apps_type] = grouped_data
apps_features.index.names = ['local_segment']
return apps_features return apps_features
def process_app_features(data, requested_features, time_segment, provider, filter_data_by_segment): def process_app_features(data, requested_features, time_segment, provider, filter_data_by_segment):
@ -128,6 +145,4 @@ def rapids_features(sensor_data_files, time_segment, provider, filter_data_by_se
features = pd.merge(episodes_features, features, how='outer', on='local_segment') features = pd.merge(episodes_features, features, how='outer', on='local_segment')
features.fillna(value={feature_name: 0 for feature_name in features.columns if feature_name.startswith(("countevent", "countepisode", "minduration", "maxduration", "meanduration", "sumduration"))}, inplace=True)
return features return features

View File

@ -88,6 +88,6 @@ rapids_features <- function(sensor_data_files, time_segment, provider){
features <- call_features_of_type(calls_of_type, features_type, call_type, time_segment, requested_features) features <- call_features_of_type(calls_of_type, features_type, call_type, time_segment, requested_features)
call_features <- merge(call_features, features, all=TRUE) call_features <- merge(call_features, features, all=TRUE)
} }
call_features <- call_features %>% mutate_at(vars(contains("countmostfrequentcontact") | contains("distinctcontacts") | contains("count") | contains("sumduration") | contains("minduration") | contains("maxduration") | contains("meanduration") | contains("modeduration")), list( ~ replace_na(., 0))) call_features <- call_features %>% mutate_at(vars(contains("countmostfrequentcontact") | contains("distinctcontacts") | contains("count")), list( ~ replace_na(., 0)))
return(call_features) return(call_features)
} }

View File

@ -140,7 +140,7 @@ def rapids_features(sensor_data_files, time_segment, provider, filter_data_by_se
if "voicemaxenergy" in features_to_compute: if "voicemaxenergy" in features_to_compute:
conversation_features["voicemaxenergy"] = conversation_data[conversation_data['inference']==2].groupby(["local_segment"])["double_energy"].max() conversation_features["voicemaxenergy"] = conversation_data[conversation_data['inference']==2].groupby(["local_segment"])["double_energy"].max()
conversation_features.fillna(value={feature_name: 0 for feature_name in conversation_features.columns if feature_name not in ["timefirstconversation", "timelastconversation", "sdconversationduration", "noisesdenergy", "voicesdenergy"]}, inplace=True)
conversation_features = conversation_features.reset_index() conversation_features = conversation_features.reset_index()
return conversation_features return conversation_features

View File

@ -59,7 +59,6 @@ def rapids_features(sensor_data_files, time_segment, provider, filter_data_by_se
if "totalkeyboardtouches" in features_to_compute: if "totalkeyboardtouches" in features_to_compute:
keyboard_features["totalkeyboardtouches"] = keyboard_data.groupby(['local_segment','sessionNumber'])['is_password'].count().reset_index().groupby(['local_segment'])['is_password'].mean() keyboard_features["totalkeyboardtouches"] = keyboard_data.groupby(['local_segment','sessionNumber'])['is_password'].count().reset_index().groupby(['local_segment'])['is_password'].mean()
keyboard_features.fillna(value={"sessioncount": 0, "averagesessionlength": 0, "changeintextlengthlessthanminusone": 0, "changeintextlengthequaltominusone": 0, "changeintextlengthequaltoone": 0, "changeintextlengthmorethanone": 0, "maxtextlength": 0, "totalkeyboardtouches": 0}, inplace=True)
keyboard_features = keyboard_features.reset_index() keyboard_features = keyboard_features.reset_index()
return keyboard_features return keyboard_features

View File

@ -180,11 +180,8 @@ def doryab_features(sensor_data_files, time_segment, provider, filter_data_by_se
location_features = location_features.merge(location_entropy(stationary_data_without_outliers), how="outer", left_index=True, right_index=True) location_features = location_features.merge(location_entropy(stationary_data_without_outliers), how="outer", left_index=True, right_index=True)
# time at home # time at home
if stationary_data.empty: stationary_data["time_at_home"] = stationary_data.apply(lambda row: row["duration"] if row["distance_from_home"] <= radius_from_home else 0, axis=1)
location_features["timeathome"] = 0 location_features["timeathome"] = stationary_data[["local_segment", "time_at_home"]].groupby(["local_segment"])["time_at_home"].sum()
else:
stationary_data["time_at_home"] = stationary_data.apply(lambda row: row["duration"] if row["distance_from_home"] <= radius_from_home else 0, axis=1)
location_features["timeathome"] = stationary_data[["local_segment", "time_at_home"]].groupby(["local_segment"])["time_at_home"].sum()
# home label # home label
location_features["homelabel"] = stationary_data[["local_segment", "home_label"]].groupby(["local_segment"]).agg(lambda x: pd.Series.mode(x)[0]) location_features["homelabel"] = stationary_data[["local_segment", "home_label"]].groupby(["local_segment"]).agg(lambda x: pd.Series.mode(x)[0])

View File

@ -62,7 +62,6 @@ def rapids_features(sensor_data_files, time_segment, provider, filter_data_by_se
screen_features = pd.concat([screen_features, getEpisodeDurationFeatures(screen_data, time_segment, episode, features_episodes_to_compute, reference_hour_first_use)], axis=1) screen_features = pd.concat([screen_features, getEpisodeDurationFeatures(screen_data, time_segment, episode, features_episodes_to_compute, reference_hour_first_use)], axis=1)
if not screen_features.empty: if not screen_features.empty:
screen_features.fillna(value={feature_name: 0 for feature_name in screen_features.columns if not feature_name.startswith(("stdduration", "firstuseafter"))}, inplace=True)
screen_features = screen_features.reset_index() screen_features = screen_features.reset_index()
return screen_features return screen_features

View File

@ -83,14 +83,4 @@ fetch_provider_features <- function(provider, provider_key, sensor_key, sensor_d
"(.*)#(.*),(.*)", "(.*)#(.*),(.*)",
remove = FALSE) remove = FALSE)
return(sensor_features) return(sensor_features)
} }
run_provider_cleaning_script <- function(provider, provider_key, sensor_key, sensor_data_files){
source(provider[["SRC_SCRIPT"]])
print(paste(rapids_log_tag, "Processing", sensor_key, provider_key))
cleaning_function <- match.fun(paste0(tolower(provider_key), "_cleaning"))
sensor_features <- cleaning_function(sensor_data_files, provider)
return(sensor_features)
}

View File

@ -123,13 +123,3 @@ def fetch_provider_features(provider, provider_key, sensor_key, sensor_data_file
sensor_features.insert(1 + i, segment_colums.columns[i], segment_colums[segment_colums.columns[i]]) sensor_features.insert(1 + i, segment_colums.columns[i], segment_colums[segment_colums.columns[i]])
return sensor_features return sensor_features
def run_provider_cleaning_script(provider, provider_key, sensor_key, sensor_data_files):
from importlib import import_module, util
print("{} Processing {} {}".format(rapids_log_tag, sensor_key, provider_key))
cleaning_module = import_path(provider["SRC_SCRIPT"])
cleaning_function = getattr(cleaning_module, provider_key.lower() + "_cleaning")
sensor_features = cleaning_function(sensor_data_files, provider)
return sensor_features

View File

@ -0,0 +1,29 @@
source("renv/activate.R")
library(tidyr)
library("dplyr", warn.conflicts = F)
clean_features <- read.csv(snakemake@input[[1]])
cols_nan_threshold <- as.numeric(snakemake@params[["cols_nan_threshold"]])
drop_zero_variance_columns <- as.logical(snakemake@params[["cols_var_threshold"]])
rows_nan_threshold <- as.numeric(snakemake@params[["rows_nan_threshold"]])
data_yielded_hours_ratio_threshold <- as.numeric(snakemake@params[["data_yielded_hours_ratio_threshold"]])
# drop rows with the value of "phone_data_yield_rapids_ratiovalidyieldedhours" column less than data_yielded_hours_ratio_threshold
clean_features <- clean_features %>%
filter(phone_data_yield_rapids_ratiovalidyieldedhours > data_yielded_hours_ratio_threshold)
# drop columns with a percentage of NA values above cols_nan_threshold
if(nrow(clean_features))
clean_features <- clean_features %>% select_if(~ sum(is.na(.)) / length(.) <= cols_nan_threshold )
if(drop_zero_variance_columns)
clean_features <- clean_features %>% select_if(grepl("pid|local_segment|local_segment_label|local_segment_start_datetime|local_segment_end_datetime",names(.)) | sapply(., n_distinct, na.rm = T) > 1)
# drop rows with a percentage of NA values above rows_nan_threshold
clean_features <- clean_features %>%
mutate(percentage_na = rowSums(is.na(.)) / ncol(.)) %>%
filter(percentage_na < rows_nan_threshold) %>%
select(-percentage_na)
write.csv(clean_features, snakemake@output[[1]], row.names = FALSE)

View File

@ -1,339 +0,0 @@
timestamp,device_id,battery_status,battery_level,battery_scale,battery_voltage,battery_temperature,battery_adaptor,battery_health,battery_technology
1583471290416,android,3.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583471483435,android,3.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583471730630,android,3.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583471858603,android,3.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583476060603,android,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583482830416,android,2.0,77.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583483030435,android,2.0,78.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583483435630,android,2.0,79.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583483435876,android,2.0,80.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583492250123,android,3.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583492389435,android,3.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583492539321,android,3.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583492672456,android,3.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583499872416,android,2.0,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583500032435,android,2.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583500192679,android,2.0,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583500387876,android,2.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583503987603,android,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583508197416,android,3.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583508383435,android,3.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583508583679,android,3.0,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583508858876,android,3.0,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583513758416,android,2.0,62.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583471290416,android,3.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583471483435,android,3.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583471730630,android,3.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583471858603,android,3.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583476060603,android,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583482830416,android,2.0,77.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583483030435,android,2.0,78.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583483435630,android,2.0,79.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583483435876,android,2.0,80.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583492250123,android,3.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583492389435,android,3.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583492539321,android,3.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583492672456,android,3.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583499872416,android,2.0,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583500032435,android,2.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583500192679,android,2.0,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583500387876,android,2.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583503987603,android,4.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583508197416,android,3.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583508383435,android,3.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583508583679,android,3.0,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583508858876,android,3.0,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583513758416,android,2.0,62.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583513968435,android,2.0,63.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583514277679,android,2.0,64.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583514487876,android,2.0,65.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583520727416,android,3.0,64.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583520899435,android,3.0,63.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583521029679,android,3.0,62.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583521219876,android,3.0,61.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583525429603,android,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583529207416,android,2.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583529477435,android,2.0,61.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583529687679,android,2.0,62.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583529887876,android,2.0,63.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583535363123,android,3.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583535581435,android,3.0,59.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583535854321,android,3.0,58.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583536044456,android,3.0,57.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583542983416,android,2.0,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583543112435,android,2.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583543244679,android,2.0,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583543434876,android,2.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583545844603,android,4.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583548204416,android,3.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583548334435,android,3.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583548523679,android,3.0,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583548667876,android,3.0,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583548801875,android,2.0,70.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583549001075,android,2.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583557067875,android,3.0,65.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583557127875,android,3.0,64.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583618405000,android,3.0,90.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583618820000,android,3.0,89.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583619300000,android,3.0,88.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583634720000,android,2.0,78.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583635140000,android,2.0,79.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583635680000,android,2.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583645040000,android,3.0,50.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583645820000,android,3.0,49.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583646360000,android,3.0,48.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583646600000,android,2.0,49.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583647080000,android,2.0,50.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583719080000,android,2.0,59.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583719680000,android,2.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583720100000,android,2.0,61.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583720100000,android,3.0,75.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583720400000,android,3.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583720940000,android,3.0,73.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583746260000,android,3.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583746500000,android,3.0,59.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583746980000,android,3.0,58.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583751900000,android,2.0,78.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583752200000,android,2.0,79.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583752620000,android,2.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583471290416,ios,4.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583471483435,ios,4.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583471730630,ios,4.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583471858603,ios,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583482830416,ios,2.0,77.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583483030435,ios,2.0,78.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583483435630,ios,2.0,79.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583483435876,ios,2.0,80.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583492250123,ios,4.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583492389435,ios,4.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583492539321,ios,4.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583492672456,ios,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583499872416,ios,2.0,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583500032435,ios,2.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583500192679,ios,2.0,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583500387876,ios,2.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583508197416,ios,4.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583508383435,ios,4.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583508583679,ios,4.0,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583508858876,ios,4.0,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583513758416,ios,2.0,62.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583513968435,ios,2.0,63.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583514277679,ios,2.0,64.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583514487876,ios,2.0,65.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583520727416,ios,4.0,64.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583520899435,ios,4.0,63.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583521029679,ios,4.0,62.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583521219876,ios,4.0,61.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583529207416,ios,2.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583529477435,ios,2.0,61.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583529687679,ios,2.0,62.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583529887876,ios,2.0,63.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583535363123,ios,4.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583535581435,ios,4.0,59.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583535854321,ios,4.0,58.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583536044456,ios,4.0,57.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583542983416,ios,2.0,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583543112435,ios,2.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583543244679,ios,2.0,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583543434876,ios,2.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583548204416,ios,4.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583548334435,ios,4.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1583548523679,ios,4.0,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583548667876,ios,4.0,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583548801875,ios,2.0,70.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583549001075,ios,2.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583557067875,ios,4.0,65.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583557127875,ios,4.0,64.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1583618405000,ios,4.0,90.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583618820000,ios,4.0,89.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583619300000,ios,4.0,88.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583634720000,ios,2.0,78.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583635140000,ios,2.0,79.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583635680000,ios,2.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583645040000,ios,4.0,50.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583645820000,ios,4.0,49.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583646360000,ios,4.0,48.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583646600000,ios,2.0,49.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583647080000,ios,2.0,50.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583719080000,ios,2.0,59.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583719680000,ios,2.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583720100000,ios,2.0,61.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583720100000,ios,4.0,75.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583720400000,ios,4.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583720940000,ios,4.0,73.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583746260000,ios,4.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583746500000,ios,4.0,59.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583746980000,ios,4.0,58.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583751900000,ios,2.0,78.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583752200000,ios,2.0,79.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1583752620000,ios,2.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604030890416,android,3.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604031083435,android,3.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604031330630,android,3.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604031458603,android,3.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604035660603,android,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604042430416,android,2.0,77.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604042630435,android,2.0,78.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604043035630,android,2.0,79.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604043035876,android,2.0,80.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604051850123,android,3.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604051989435,android,3.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604052139321,android,3.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604052272456,android,3.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604059472416,android,2.0,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604059632435,android,2.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604059792679,android,2.0,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604059987876,android,2.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604063587603,android,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604067797416,android,3.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604067983435,android,3.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604068183679,android,3.0,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604068458876,android,3.0,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604073358416,android,2.0,62.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604030890416,android,3.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604031083435,android,3.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604031330630,android,3.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604031458603,android,3.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604035660603,android,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604042430416,android,2.0,77.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604042630435,android,2.0,78.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604043035630,android,2.0,79.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604043035876,android,2.0,80.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604051850123,android,3.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604051989435,android,3.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604052139321,android,3.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604052272456,android,3.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604059472416,android,2.0,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604059632435,android,2.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604059792679,android,2.0,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604059987876,android,2.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604063587603,android,4.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604067797416,android,3.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604067983435,android,3.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604068183679,android,3.0,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604068458876,android,3.0,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604073358416,android,2.0,62.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604073568435,android,2.0,63.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604073877679,android,2.0,64.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604074087876,android,2.0,65.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604080327416,android,3.0,64.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604080499435,android,3.0,63.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604080629679,android,3.0,62.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604080819876,android,3.0,61.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604085029603,android,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604088807416,android,2.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604089077435,android,2.0,61.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604089287679,android,2.0,62.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604089487876,android,2.0,63.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604094963123,android,3.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604095181435,android,3.0,59.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604095454321,android,3.0,58.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604095644456,android,3.0,57.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604102583416,android,2.0,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604102712435,android,2.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604102844679,android,2.0,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604103034876,android,2.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604105444603,android,4.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604107804416,android,3.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604107934435,android,3.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604108123679,android,3.0,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604108267876,android,3.0,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604108401875,android,2.0,70.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604108601075,android,2.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604116667875,android,3.0,65.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604116727875,android,3.0,64.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604178005000,android,3.0,90.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604178420000,android,3.0,89.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604178900000,android,3.0,88.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604194320000,android,2.0,78.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604194740000,android,2.0,79.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604195280000,android,2.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604204640000,android,3.0,50.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604205420000,android,3.0,49.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604205960000,android,3.0,48.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604206200000,android,2.0,49.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604206680000,android,2.0,50.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604285880000,android,2.0,59.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604286480000,android,2.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604286900000,android,2.0,61.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604286900000,android,3.0,75.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604287200000,android,3.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604287740000,android,3.0,73.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604313060000,android,3.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604313300000,android,3.0,59.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604313780000,android,3.0,58.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604318700000,android,2.0,78.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604319000000,android,2.0,79.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604319420000,android,2.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604030890416,ios,4.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604031083435,ios,4.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604031330630,ios,4.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604031458603,ios,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604042430416,ios,2.0,77.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604042630435,ios,2.0,78.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604043035630,ios,2.0,79.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604043035876,ios,2.0,80.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604051850123,ios,4.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604051989435,ios,4.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604052139321,ios,4.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604052272456,ios,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604059472416,ios,2.0,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604059632435,ios,2.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604059792679,ios,2.0,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604059987876,ios,2.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604067797416,ios,4.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604067983435,ios,4.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604068183679,ios,4.0,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604068458876,ios,4.0,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604073358416,ios,2.0,62.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604073568435,ios,2.0,63.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604073877679,ios,2.0,64.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604074087876,ios,2.0,65.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604080327416,ios,4.0,64.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604080499435,ios,4.0,63.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604080629679,ios,4.0,62.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604080819876,ios,4.0,61.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604088807416,ios,2.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604089077435,ios,2.0,61.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604089287679,ios,2.0,62.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604089487876,ios,2.0,63.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604094963123,ios,4.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604095181435,ios,4.0,59.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604095454321,ios,4.0,58.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604095644456,ios,4.0,57.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604102583416,ios,2.0,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604102712435,ios,2.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604102844679,ios,2.0,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604103034876,ios,2.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604107804416,ios,4.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604107934435,ios,4.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
1604108123679,ios,4.0,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604108267876,ios,4.0,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604108401875,ios,2.0,70.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604108601075,ios,2.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604116667875,ios,4.0,65.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604116727875,ios,4.0,64.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
1604178005000,ios,4.0,90.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604178420000,ios,4.0,89.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604178900000,ios,4.0,88.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604194320000,ios,2.0,78.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604194740000,ios,2.0,79.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604195280000,ios,2.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604204640000,ios,4.0,50.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604205420000,ios,4.0,49.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604205960000,ios,4.0,48.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604206200000,ios,2.0,49.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604206680000,ios,2.0,50.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604285880000,ios,2.0,59.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604286480000,ios,2.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604286900000,ios,2.0,61.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604286900000,ios,4.0,75.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604287200000,ios,4.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604287740000,ios,4.0,73.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604313060000,ios,4.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604313300000,ios,4.0,59.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604313780000,ios,4.0,58.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604318700000,ios,2.0,78.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604319000000,ios,2.0,79.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1604319420000,ios,2.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
1 timestamp device_id battery_status battery_level battery_scale battery_voltage battery_temperature battery_adaptor battery_health battery_technology
2 1583471290416 android 3.0 80.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
3 1583471483435 android 3.0 79.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
4 1583471730630 android 3.0 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
5 1583471858603 android 3.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
6 1583476060603 android 4.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
7 1583482830416 android 2.0 77.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
8 1583483030435 android 2.0 78.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
9 1583483435630 android 2.0 79.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
10 1583483435876 android 2.0 80.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
11 1583492250123 android 3.0 80.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
12 1583492389435 android 3.0 79.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
13 1583492539321 android 3.0 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
14 1583492672456 android 3.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
15 1583499872416 android 2.0 72.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
16 1583500032435 android 2.0 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
17 1583500192679 android 2.0 74.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
18 1583500387876 android 2.0 75.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
19 1583503987603 android 4.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
20 1583508197416 android 3.0 74.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
21 1583508383435 android 3.0 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
22 1583508583679 android 3.0 72.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
23 1583508858876 android 3.0 71.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
24 1583513758416 android 2.0 62.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
25 1583471290416 android 3.0 80.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
26 1583471483435 android 3.0 79.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
27 1583471730630 android 3.0 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
28 1583471858603 android 3.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
29 1583476060603 android 4.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
30 1583482830416 android 2.0 77.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
31 1583483030435 android 2.0 78.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
32 1583483435630 android 2.0 79.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
33 1583483435876 android 2.0 80.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
34 1583492250123 android 3.0 80.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
35 1583492389435 android 3.0 79.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
36 1583492539321 android 3.0 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
37 1583492672456 android 3.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
38 1583499872416 android 2.0 72.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
39 1583500032435 android 2.0 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
40 1583500192679 android 2.0 74.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
41 1583500387876 android 2.0 75.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
42 1583503987603 android 4.0 75.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
43 1583508197416 android 3.0 74.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
44 1583508383435 android 3.0 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
45 1583508583679 android 3.0 72.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
46 1583508858876 android 3.0 71.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
47 1583513758416 android 2.0 62.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
48 1583513968435 android 2.0 63.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
49 1583514277679 android 2.0 64.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
50 1583514487876 android 2.0 65.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
51 1583520727416 android 3.0 64.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
52 1583520899435 android 3.0 63.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
53 1583521029679 android 3.0 62.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
54 1583521219876 android 3.0 61.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
55 1583525429603 android 4.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
56 1583529207416 android 2.0 60.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
57 1583529477435 android 2.0 61.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
58 1583529687679 android 2.0 62.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
59 1583529887876 android 2.0 63.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
60 1583535363123 android 3.0 60.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
61 1583535581435 android 3.0 59.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
62 1583535854321 android 3.0 58.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
63 1583536044456 android 3.0 57.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
64 1583542983416 android 2.0 72.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
65 1583543112435 android 2.0 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
66 1583543244679 android 2.0 74.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
67 1583543434876 android 2.0 75.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
68 1583545844603 android 4.0 75.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
69 1583548204416 android 3.0 74.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
70 1583548334435 android 3.0 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
71 1583548523679 android 3.0 72.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
72 1583548667876 android 3.0 71.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
73 1583548801875 android 2.0 70.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
74 1583549001075 android 2.0 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
75 1583557067875 android 3.0 65.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
76 1583557127875 android 3.0 64.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
77 1583618405000 android 3.0 90.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
78 1583618820000 android 3.0 89.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
79 1583619300000 android 3.0 88.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
80 1583634720000 android 2.0 78.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
81 1583635140000 android 2.0 79.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
82 1583635680000 android 2.0 80.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
83 1583645040000 android 3.0 50.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
84 1583645820000 android 3.0 49.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
85 1583646360000 android 3.0 48.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
86 1583646600000 android 2.0 49.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
87 1583647080000 android 2.0 50.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
88 1583719080000 android 2.0 59.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
89 1583719680000 android 2.0 60.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
90 1583720100000 android 2.0 61.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
91 1583720100000 android 3.0 75.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
92 1583720400000 android 3.0 74.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
93 1583720940000 android 3.0 73.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
94 1583746260000 android 3.0 60.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
95 1583746500000 android 3.0 59.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
96 1583746980000 android 3.0 58.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
97 1583751900000 android 2.0 78.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
98 1583752200000 android 2.0 79.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
99 1583752620000 android 2.0 80.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
100 1583471290416 ios 4.0 80.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
101 1583471483435 ios 4.0 79.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
102 1583471730630 ios 4.0 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
103 1583471858603 ios 4.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
104 1583482830416 ios 2.0 77.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
105 1583483030435 ios 2.0 78.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
106 1583483435630 ios 2.0 79.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
107 1583483435876 ios 2.0 80.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
108 1583492250123 ios 4.0 80.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
109 1583492389435 ios 4.0 79.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
110 1583492539321 ios 4.0 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
111 1583492672456 ios 4.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
112 1583499872416 ios 2.0 72.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
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View File

@ -1,170 +0,0 @@
test_time,device_id,battery_status,battery_level,battery_scale,battery_voltage,battery_temperature,battery_adaptor,battery_health,battery_technology
Fri 00:08:10.416,android,3.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 00:11:23.435,android,3.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 00:15:30.630,android,3.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 00:17:38.603,android,3.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 01:27:40.603,android,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 03:20:30.416,android,2.0,77.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 03:23:50.435,android,2.0,78.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 03:30:35.630,android,2.0,79.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 03:30:35.876,android,2.0,80.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 05:57:30.123,android,3.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 05:59:49.435,android,3.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 06:02:19.321,android,3.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 06:04:32.456,android,3.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 08:04:32.416,android,2.0,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 08:07:12.435,android,2.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 08:09:52.679,android,2.0,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 08:13:07.876,android,2.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 09:13:07.603,android,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 10:23:17.416,android,3.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 10:26:23.435,android,3.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 10:29:43.679,android,3.0,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 10:34:18.876,android,3.0,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 11:55:58.416,android,2.0,62.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 00:08:10.416,android,3.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 00:11:23.435,android,3.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 00:15:30.630,android,3.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 00:17:38.603,android,3.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 01:27:40.603,android,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 03:20:30.416,android,2.0,77.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 03:23:50.435,android,2.0,78.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 03:30:35.630,android,2.0,79.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 03:30:35.876,android,2.0,80.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 05:57:30.123,android,3.0,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 05:59:49.435,android,3.0,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 06:02:19.321,android,3.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 06:04:32.456,android,3.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 08:04:32.416,android,2.0,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 08:07:12.435,android,2.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 08:09:52.679,android,2.0,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 08:13:07.876,android,2.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 09:13:07.603,android,4.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 10:23:17.416,android,3.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 10:26:23.435,android,3.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 10:29:43.679,android,3.0,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 10:34:18.876,android,3.0,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 11:55:58.416,android,2.0,62.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 11:59:28.435,android,2.0,63.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 12:04:37.679,android,2.0,64.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 12:08:07.876,android,2.0,65.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 13:52:07.416,android,3.0,64.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 13:54:59.435,android,3.0,63.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 13:57:09.679,android,3.0,62.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 14:00:19.876,android,3.0,61.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 15:10:29.603,android,4.0,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 16:13:27.416,android,2.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 16:17:57.435,android,2.0,61.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 16:21:27.679,android,2.0,62.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 16:24:47.876,android,2.0,63.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 17:56:03.123,android,3.0,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 17:59:41.435,android,3.0,59.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 18:04:14.321,android,3.0,58.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 18:07:24.456,android,3.0,57.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 20:03:03.416,android,2.0,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 20:05:12.435,android,2.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 20:07:24.679,android,2.0,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 20:10:34.876,android,2.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 20:50:44.603,android,4.0,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 21:30:04.416,android,3.0,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 21:32:14.435,android,3.0,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 21:35:23.679,android,3.0,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 21:37:47.876,android,3.0,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 21:40:01.875,android,2.0,70.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 21:43:21.075,android,2.0,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 23:57:47.875,android,3.0,65.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 23:58:47.875,android,3.0,64.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Sat 17:00:05,android,3,90,100,4170,23,0,2,Li-ion
Sat 17:07:00,android,3,89,100,4170,23,0,2,Li-ion
Sat 17:15:00,android,3,88,100,4170,23,0,2,Li-ion
Sat 21:32:00,android,2,78,100,4170,23,0,2,Li-ion
Sat 21:39:00,android,2,79,100,4170,23,0,2,Li-ion
Sat 21:48:00,android,2,80,100,4170,23,0,2,Li-ion
Sun 00:24:00,android,3,50,100,4170,23,0,2,Li-ion
Sun 00:37:00,android,3,49,100,4170,23,0,2,Li-ion
Sun 00:46:00,android,3,48,100,4170,23,0,2,Li-ion
Sun 00:50:00,android,2,49,100,4170,23,0,2,Li-ion
Sun 00:58:00,android,2,50,100,4170,23,0,2,Li-ion
Sun 21:58:00,android,2,59,100,4170,23,0,2,Li-ion
Sun 22:08:00,android,2,60,100,4170,23,0,2,Li-ion
Sun 22:15:00,android,2,61,100,4170,23,0,2,Li-ion
Sun 22:15:00,android,3,75,100,4170,23,0,2,Li-ion
Sun 22:20:00,android,3,74,100,4170,23,0,2,Li-ion
Sun 22:29:00,android,3,73,100,4170,23,0,2,Li-ion
Mon 05:31:00,android,3,60,100,4170,23,0,2,Li-ion
Mon 05:35:00,android,3,59,100,4170,23,0,2,Li-ion
Mon 05:43:00,android,3,58,100,4170,23,0,2,Li-ion
Mon 07:05:00,android,2,78,100,4170,23,0,2,Li-ion
Mon 07:10:00,android,2,79,100,4170,23,0,2,Li-ion
Mon 07:17:00,android,2,80,100,4170,23,0,2,Li-ion
Fri 00:08:10.416,ios,4,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 00:11:23.435,ios,4,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 00:15:30.630,ios,4,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 00:17:38.603,ios,4,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 03:20:30.416,ios,2,77.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 03:23:50.435,ios,2,78.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 03:30:35.630,ios,2,79.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 03:30:35.876,ios,2,80.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 05:57:30.123,ios,4,80.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 05:59:49.435,ios,4,79.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 06:02:19.321,ios,4,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 06:04:32.456,ios,4,77.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 08:04:32.416,ios,2,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 08:07:12.435,ios,2,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 08:09:52.679,ios,2,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 08:13:07.876,ios,2,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 10:23:17.416,ios,4,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 10:26:23.435,ios,4,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 10:29:43.679,ios,4,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 10:34:18.876,ios,4,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 11:55:58.416,ios,2,62.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 11:59:28.435,ios,2,63.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 12:04:37.679,ios,2,64.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 12:08:07.876,ios,2,65.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 13:52:07.416,ios,4,64.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 13:54:59.435,ios,4,63.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 13:57:09.679,ios,4,62.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 14:00:19.876,ios,4,61.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 16:13:27.416,ios,2,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 16:17:57.435,ios,2,61.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 16:21:27.679,ios,2,62.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 16:24:47.876,ios,2,63.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 17:56:03.123,ios,4,60.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 17:59:41.435,ios,4,59.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 18:04:14.321,ios,4,58.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 18:07:24.456,ios,4,57.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 20:03:03.416,ios,2,72.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 20:05:12.435,ios,2,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 20:07:24.679,ios,2,74.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 20:10:34.876,ios,2,75.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 21:30:04.416,ios,4,74.0,100.0,4170.0,23.0,0.0,2.0,Li-ion
Fri 21:32:14.435,ios,4,73.0,100.0,4094.0,23.0,0.0,2.0,Li-ion
Fri 21:35:23.679,ios,4,72.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 21:37:47.876,ios,4,71.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 21:40:01.875,ios,2,70.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 21:43:21.075,ios,2,78.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 23:57:47.875,ios,4,65.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Fri 23:58:47.875,ios,4,64.0,100.0,4157.0,23.0,0.0,2.0,Li-ion
Sat 17:00:05,ios,4,90,100,4170,23,0,2,Li-ion
Sat 17:07:00,ios,4,89,100,4170,23,0,2,Li-ion
Sat 17:15:00,ios,4,88,100,4170,23,0,2,Li-ion
Sat 21:32:00,ios,2,78,100,4170,23,0,2,Li-ion
Sat 21:39:00,ios,2,79,100,4170,23,0,2,Li-ion
Sat 21:48:00,ios,2,80,100,4170,23,0,2,Li-ion
Sun 00:24:00,ios,4,50,100,4170,23,0,2,Li-ion
Sun 00:37:00,ios,4,49,100,4170,23,0,2,Li-ion
Sun 00:46:00,ios,4,48,100,4170,23,0,2,Li-ion
Sun 00:50:00,ios,2,49,100,4170,23,0,2,Li-ion
Sun 00:58:00,ios,2,50,100,4170,23,0,2,Li-ion
Sun 21:58:00,ios,2,59,100,4170,23,0,2,Li-ion
Sun 22:08:00,ios,2,60,100,4170,23,0,2,Li-ion
Sun 22:15:00,ios,2,61,100,4170,23,0,2,Li-ion
Sun 22:15:00,ios,4,75,100,4170,23,0,2,Li-ion
Sun 22:20:00,ios,4,74,100,4170,23,0,2,Li-ion
Sun 22:29:00,ios,4,73,100,4170,23,0,2,Li-ion
Mon 05:31:00,ios,4,60,100,4170,23,0,2,Li-ion
Mon 05:35:00,ios,4,59,100,4170,23,0,2,Li-ion
Mon 05:43:00,ios,4,58,100,4170,23,0,2,Li-ion
Mon 07:05:00,ios,2,78,100,4170,23,0,2,Li-ion
Mon 07:10:00,ios,2,79,100,4170,23,0,2,Li-ion
Mon 07:17:00,ios,2,80,100,4170,23,0,2,Li-ion
1 test_time device_id battery_status battery_level battery_scale battery_voltage battery_temperature battery_adaptor battery_health battery_technology
2 Fri 00:08:10.416 android 3.0 80.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
3 Fri 00:11:23.435 android 3.0 79.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
4 Fri 00:15:30.630 android 3.0 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
5 Fri 00:17:38.603 android 3.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
6 Fri 01:27:40.603 android 4.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
7 Fri 03:20:30.416 android 2.0 77.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
8 Fri 03:23:50.435 android 2.0 78.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
9 Fri 03:30:35.630 android 2.0 79.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
10 Fri 03:30:35.876 android 2.0 80.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
11 Fri 05:57:30.123 android 3.0 80.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
12 Fri 05:59:49.435 android 3.0 79.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
13 Fri 06:02:19.321 android 3.0 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
14 Fri 06:04:32.456 android 3.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
15 Fri 08:04:32.416 android 2.0 72.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
16 Fri 08:07:12.435 android 2.0 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
17 Fri 08:09:52.679 android 2.0 74.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
18 Fri 08:13:07.876 android 2.0 75.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
19 Fri 09:13:07.603 android 4.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
20 Fri 10:23:17.416 android 3.0 74.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
21 Fri 10:26:23.435 android 3.0 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
22 Fri 10:29:43.679 android 3.0 72.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
23 Fri 10:34:18.876 android 3.0 71.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
24 Fri 11:55:58.416 android 2.0 62.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
25 Fri 00:08:10.416 android 3.0 80.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
26 Fri 00:11:23.435 android 3.0 79.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
27 Fri 00:15:30.630 android 3.0 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
28 Fri 00:17:38.603 android 3.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
29 Fri 01:27:40.603 android 4.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
30 Fri 03:20:30.416 android 2.0 77.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
31 Fri 03:23:50.435 android 2.0 78.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
32 Fri 03:30:35.630 android 2.0 79.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
33 Fri 03:30:35.876 android 2.0 80.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
34 Fri 05:57:30.123 android 3.0 80.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
35 Fri 05:59:49.435 android 3.0 79.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
36 Fri 06:02:19.321 android 3.0 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
37 Fri 06:04:32.456 android 3.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
38 Fri 08:04:32.416 android 2.0 72.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
39 Fri 08:07:12.435 android 2.0 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
40 Fri 08:09:52.679 android 2.0 74.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
41 Fri 08:13:07.876 android 2.0 75.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
42 Fri 09:13:07.603 android 4.0 75.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
43 Fri 10:23:17.416 android 3.0 74.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
44 Fri 10:26:23.435 android 3.0 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
45 Fri 10:29:43.679 android 3.0 72.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
46 Fri 10:34:18.876 android 3.0 71.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
47 Fri 11:55:58.416 android 2.0 62.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
48 Fri 11:59:28.435 android 2.0 63.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
49 Fri 12:04:37.679 android 2.0 64.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
50 Fri 12:08:07.876 android 2.0 65.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
51 Fri 13:52:07.416 android 3.0 64.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
52 Fri 13:54:59.435 android 3.0 63.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
53 Fri 13:57:09.679 android 3.0 62.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
54 Fri 14:00:19.876 android 3.0 61.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
55 Fri 15:10:29.603 android 4.0 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
56 Fri 16:13:27.416 android 2.0 60.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
57 Fri 16:17:57.435 android 2.0 61.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
58 Fri 16:21:27.679 android 2.0 62.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
59 Fri 16:24:47.876 android 2.0 63.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
60 Fri 17:56:03.123 android 3.0 60.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
61 Fri 17:59:41.435 android 3.0 59.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
62 Fri 18:04:14.321 android 3.0 58.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
63 Fri 18:07:24.456 android 3.0 57.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
64 Fri 20:03:03.416 android 2.0 72.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
65 Fri 20:05:12.435 android 2.0 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
66 Fri 20:07:24.679 android 2.0 74.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
67 Fri 20:10:34.876 android 2.0 75.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
68 Fri 20:50:44.603 android 4.0 75.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
69 Fri 21:30:04.416 android 3.0 74.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
70 Fri 21:32:14.435 android 3.0 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
71 Fri 21:35:23.679 android 3.0 72.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
72 Fri 21:37:47.876 android 3.0 71.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
73 Fri 21:40:01.875 android 2.0 70.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
74 Fri 21:43:21.075 android 2.0 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
75 Fri 23:57:47.875 android 3.0 65.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
76 Fri 23:58:47.875 android 3.0 64.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
77 Sat 17:00:05 android 3 90 100 4170 23 0 2 Li-ion
78 Sat 17:07:00 android 3 89 100 4170 23 0 2 Li-ion
79 Sat 17:15:00 android 3 88 100 4170 23 0 2 Li-ion
80 Sat 21:32:00 android 2 78 100 4170 23 0 2 Li-ion
81 Sat 21:39:00 android 2 79 100 4170 23 0 2 Li-ion
82 Sat 21:48:00 android 2 80 100 4170 23 0 2 Li-ion
83 Sun 00:24:00 android 3 50 100 4170 23 0 2 Li-ion
84 Sun 00:37:00 android 3 49 100 4170 23 0 2 Li-ion
85 Sun 00:46:00 android 3 48 100 4170 23 0 2 Li-ion
86 Sun 00:50:00 android 2 49 100 4170 23 0 2 Li-ion
87 Sun 00:58:00 android 2 50 100 4170 23 0 2 Li-ion
88 Sun 21:58:00 android 2 59 100 4170 23 0 2 Li-ion
89 Sun 22:08:00 android 2 60 100 4170 23 0 2 Li-ion
90 Sun 22:15:00 android 2 61 100 4170 23 0 2 Li-ion
91 Sun 22:15:00 android 3 75 100 4170 23 0 2 Li-ion
92 Sun 22:20:00 android 3 74 100 4170 23 0 2 Li-ion
93 Sun 22:29:00 android 3 73 100 4170 23 0 2 Li-ion
94 Mon 05:31:00 android 3 60 100 4170 23 0 2 Li-ion
95 Mon 05:35:00 android 3 59 100 4170 23 0 2 Li-ion
96 Mon 05:43:00 android 3 58 100 4170 23 0 2 Li-ion
97 Mon 07:05:00 android 2 78 100 4170 23 0 2 Li-ion
98 Mon 07:10:00 android 2 79 100 4170 23 0 2 Li-ion
99 Mon 07:17:00 android 2 80 100 4170 23 0 2 Li-ion
100 Fri 00:08:10.416 ios 4 80.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
101 Fri 00:11:23.435 ios 4 79.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
102 Fri 00:15:30.630 ios 4 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
103 Fri 00:17:38.603 ios 4 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
104 Fri 03:20:30.416 ios 2 77.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
105 Fri 03:23:50.435 ios 2 78.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
106 Fri 03:30:35.630 ios 2 79.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
107 Fri 03:30:35.876 ios 2 80.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
108 Fri 05:57:30.123 ios 4 80.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
109 Fri 05:59:49.435 ios 4 79.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
110 Fri 06:02:19.321 ios 4 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
111 Fri 06:04:32.456 ios 4 77.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
112 Fri 08:04:32.416 ios 2 72.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
113 Fri 08:07:12.435 ios 2 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
114 Fri 08:09:52.679 ios 2 74.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
115 Fri 08:13:07.876 ios 2 75.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
116 Fri 10:23:17.416 ios 4 74.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
117 Fri 10:26:23.435 ios 4 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
118 Fri 10:29:43.679 ios 4 72.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
119 Fri 10:34:18.876 ios 4 71.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
120 Fri 11:55:58.416 ios 2 62.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
121 Fri 11:59:28.435 ios 2 63.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
122 Fri 12:04:37.679 ios 2 64.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
123 Fri 12:08:07.876 ios 2 65.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
124 Fri 13:52:07.416 ios 4 64.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
125 Fri 13:54:59.435 ios 4 63.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
126 Fri 13:57:09.679 ios 4 62.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
127 Fri 14:00:19.876 ios 4 61.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
128 Fri 16:13:27.416 ios 2 60.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
129 Fri 16:17:57.435 ios 2 61.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
130 Fri 16:21:27.679 ios 2 62.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
131 Fri 16:24:47.876 ios 2 63.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
132 Fri 17:56:03.123 ios 4 60.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
133 Fri 17:59:41.435 ios 4 59.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
134 Fri 18:04:14.321 ios 4 58.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
135 Fri 18:07:24.456 ios 4 57.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
136 Fri 20:03:03.416 ios 2 72.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
137 Fri 20:05:12.435 ios 2 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
138 Fri 20:07:24.679 ios 2 74.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
139 Fri 20:10:34.876 ios 2 75.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
140 Fri 21:30:04.416 ios 4 74.0 100.0 4170.0 23.0 0.0 2.0 Li-ion
141 Fri 21:32:14.435 ios 4 73.0 100.0 4094.0 23.0 0.0 2.0 Li-ion
142 Fri 21:35:23.679 ios 4 72.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
143 Fri 21:37:47.876 ios 4 71.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
144 Fri 21:40:01.875 ios 2 70.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
145 Fri 21:43:21.075 ios 2 78.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
146 Fri 23:57:47.875 ios 4 65.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
147 Fri 23:58:47.875 ios 4 64.0 100.0 4157.0 23.0 0.0 2.0 Li-ion
148 Sat 17:00:05 ios 4 90 100 4170 23 0 2 Li-ion
149 Sat 17:07:00 ios 4 89 100 4170 23 0 2 Li-ion
150 Sat 17:15:00 ios 4 88 100 4170 23 0 2 Li-ion
151 Sat 21:32:00 ios 2 78 100 4170 23 0 2 Li-ion
152 Sat 21:39:00 ios 2 79 100 4170 23 0 2 Li-ion
153 Sat 21:48:00 ios 2 80 100 4170 23 0 2 Li-ion
154 Sun 00:24:00 ios 4 50 100 4170 23 0 2 Li-ion
155 Sun 00:37:00 ios 4 49 100 4170 23 0 2 Li-ion
156 Sun 00:46:00 ios 4 48 100 4170 23 0 2 Li-ion
157 Sun 00:50:00 ios 2 49 100 4170 23 0 2 Li-ion
158 Sun 00:58:00 ios 2 50 100 4170 23 0 2 Li-ion
159 Sun 21:58:00 ios 2 59 100 4170 23 0 2 Li-ion
160 Sun 22:08:00 ios 2 60 100 4170 23 0 2 Li-ion
161 Sun 22:15:00 ios 2 61 100 4170 23 0 2 Li-ion
162 Sun 22:15:00 ios 4 75 100 4170 23 0 2 Li-ion
163 Sun 22:20:00 ios 4 74 100 4170 23 0 2 Li-ion
164 Sun 22:29:00 ios 4 73 100 4170 23 0 2 Li-ion
165 Mon 05:31:00 ios 4 60 100 4170 23 0 2 Li-ion
166 Mon 05:35:00 ios 4 59 100 4170 23 0 2 Li-ion
167 Mon 05:43:00 ios 4 58 100 4170 23 0 2 Li-ion
168 Mon 07:05:00 ios 2 78 100 4170 23 0 2 Li-ion
169 Mon 07:10:00 ios 2 79 100 4170 23 0 2 Li-ion
170 Mon 07:17:00 ios 2 80 100 4170 23 0 2 Li-ion

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@ -1 +1 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_sumdurationactivebout

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@ -1,3 +0,0 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_countdischarge","phone_battery_rapids_sumdurationdischarge","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_maxconsumptionrate","phone_battery_rapids_countcharge","phone_battery_rapids_sumdurationcharge"
"beforeMarchEvent#2020-03-07 16:00:00,2020-03-08 15:00:00","beforeMarchEvent","2020-03-07 16:00:00","2020-03-08 15:00:00",2,70.9154833333333,0.0607260020848825,0.0769243589957268,2,83.9986
"beforeNovemberEvent#2020-10-31 16:00:00,2020-11-01 13:00:00","beforeNovemberEvent","2020-10-31 16:00:00","2020-11-01 13:00:00",2,70.9154833333333,0.0607260020848825,0.0769243589957268,2,83.9986
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_countdischarge phone_battery_rapids_sumdurationdischarge phone_battery_rapids_avgconsumptionrate phone_battery_rapids_maxconsumptionrate phone_battery_rapids_countcharge phone_battery_rapids_sumdurationcharge
2 beforeMarchEvent#2020-03-07 16:00:00,2020-03-08 15:00:00 beforeMarchEvent 2020-03-07 16:00:00 2020-03-08 15:00:00 2 70.9154833333333 0.0607260020848825 0.0769243589957268 2 83.9986
3 beforeNovemberEvent#2020-10-31 16:00:00,2020-11-01 13:00:00 beforeNovemberEvent 2020-10-31 16:00:00 2020-11-01 13:00:00 2 70.9154833333333 0.0607260020848825 0.0769243589957268 2 83.9986

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@ -1,3 +1,3 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_keyboard_rapids_sessioncount","phone_keyboard_rapids_averagesessionlength","phone_keyboard_rapids_averageinterkeydelay","phone_keyboard_rapids_changeintextlengthlessthanminusone","phone_keyboard_rapids_changeintextlengthequaltominusone","phone_keyboard_rapids_changeintextlengthequaltoone","phone_keyboard_rapids_changeintextlengthmorethanone","phone_keyboard_rapids_maxtextlength","phone_keyboard_rapids_lastmessagelength","phone_keyboard_rapids_totalkeyboardtouches" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_keyboard_rapids_sessioncount","phone_keyboard_rapids_averagesessionlength","phone_keyboard_rapids_averageinterkeydelay","phone_keyboard_rapids_changeintextlengthlessthanminusone","phone_keyboard_rapids_changeintextlengthequaltominusone","phone_keyboard_rapids_changeintextlengthequaltoone","phone_keyboard_rapids_changeintextlengthmorethanone","phone_keyboard_rapids_maxtextlength","phone_keyboard_rapids_lastmessagelength","phone_keyboard_rapids_totalkeyboardtouches"
"beforeMarchEvent#2020-03-07 16:00:00,2020-03-08 15:00:00","beforeMarchEvent","2020-03-07 16:00:00","2020-03-08 15:00:00",2,0,NA,0,0,1,0,2,2,1.5 "beforeMarchEvent#2020-03-07 16:00:00,2020-03-08 15:00:00","beforeMarchEvent","2020-03-07 16:00:00","2020-03-08 15:00:00",2,0,NA,NA,NA,1,NA,2,2,1.5
"beforeNovemberEvent#2020-10-31 16:00:00,2020-11-01 13:00:00","beforeNovemberEvent","2020-10-31 16:00:00","2020-11-01 13:00:00",2,0,NA,0,0,1,0,2,2,1.5 "beforeNovemberEvent#2020-10-31 16:00:00,2020-11-01 13:00:00","beforeNovemberEvent","2020-10-31 16:00:00","2020-11-01 13:00:00",2,0,NA,NA,NA,1,NA,2,2,1.5

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_keyboard_rapids_sessioncount phone_keyboard_rapids_averagesessionlength phone_keyboard_rapids_averageinterkeydelay phone_keyboard_rapids_changeintextlengthlessthanminusone phone_keyboard_rapids_changeintextlengthequaltominusone phone_keyboard_rapids_changeintextlengthequaltoone phone_keyboard_rapids_changeintextlengthmorethanone phone_keyboard_rapids_maxtextlength phone_keyboard_rapids_lastmessagelength phone_keyboard_rapids_totalkeyboardtouches
2 beforeMarchEvent#2020-03-07 16:00:00,2020-03-08 15:00:00 beforeMarchEvent 2020-03-07 16:00:00 2020-03-08 15:00:00 2 0 NA 0 NA 0 NA 1 0 NA 2 2 1.5
3 beforeNovemberEvent#2020-10-31 16:00:00,2020-11-01 13:00:00 beforeNovemberEvent 2020-10-31 16:00:00 2020-11-01 13:00:00 2 0 NA 0 NA 0 NA 1 0 NA 2 2 1.5

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"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_sumdurationactivebout

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"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_countdischarge","phone_battery_rapids_countcharge","phone_battery_rapids_maxconsumptionrate","phone_battery_rapids_sumdurationcharge","phone_battery_rapids_sumdurationdischarge"
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_avgconsumptionrate phone_battery_rapids_countdischarge phone_battery_rapids_countcharge phone_battery_rapids_maxconsumptionrate phone_battery_rapids_sumdurationcharge phone_battery_rapids_sumdurationdischarge

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@ -1 +1 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_sumdurationactivebout

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@ -1 +0,0 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_countdischarge","phone_battery_rapids_countcharge","phone_battery_rapids_maxconsumptionrate","phone_battery_rapids_sumdurationcharge","phone_battery_rapids_sumdurationdischarge"
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_avgconsumptionrate phone_battery_rapids_countdischarge phone_battery_rapids_countcharge phone_battery_rapids_maxconsumptionrate phone_battery_rapids_sumdurationcharge phone_battery_rapids_sumdurationdischarge

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@ -1,3 +1,3 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout"
"beforeMarchEvent#2020-03-07 16:00:00,2020-03-08 15:00:00","beforeMarchEvent","2020-03-07 16:00:00","2020-03-08 15:00:00",513,69,2,21.375,21.86283823414,780,666,6,12,4,1,2,1.09544511501033,6,12,3,1,2,0.894427190999916 "beforeMarchEvent#2020-03-07 16:00:00,2020-03-08 15:00:00","beforeMarchEvent","2020-03-07 16:00:00","2020-03-08 15:00:00",513,69,2,21.375,21.86283823414,6,12,4,1,2,1.09544511501033,6,12,3,1,2,0.894427190999916
"beforeNovemberEvent#2020-10-31 16:00:00,2020-11-01 13:00:00","beforeNovemberEvent","2020-10-31 16:00:00","2020-11-01 13:00:00",372,64,2,18.6,19.0798874541533,780,541,5,10,4,1,2,1.22474487139159,5,10,3,1,2,1 "beforeNovemberEvent#2020-10-31 16:00:00,2020-11-01 13:00:00","beforeNovemberEvent","2020-10-31 16:00:00","2020-11-01 13:00:00",372,64,2,18.6,19.0798874541533,5,10,4,1,2,1.22474487139159,5,10,3,1,2,1

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_sumdurationactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout
2 beforeMarchEvent#2020-03-07 16:00:00,2020-03-08 15:00:00 beforeMarchEvent 2020-03-07 16:00:00 2020-03-08 15:00:00 513 69 2 21.375 21.86283823414 780 6 666 12 4 1 2 1.09544511501033 6 12 3 1 2 0.894427190999916
3 beforeNovemberEvent#2020-10-31 16:00:00,2020-11-01 13:00:00 beforeNovemberEvent 2020-10-31 16:00:00 2020-11-01 13:00:00 372 64 2 18.6 19.0798874541533 780 5 541 10 4 1 2 1.22474487139159 5 10 3 1 2 1

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@ -1 +0,0 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_countdischarge","phone_battery_rapids_countcharge","phone_battery_rapids_maxconsumptionrate","phone_battery_rapids_sumdurationcharge","phone_battery_rapids_sumdurationdischarge"
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_avgconsumptionrate phone_battery_rapids_countdischarge phone_battery_rapids_countcharge phone_battery_rapids_maxconsumptionrate phone_battery_rapids_sumdurationcharge phone_battery_rapids_sumdurationdischarge

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@ -1 +1 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_sumdurationactivebout

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@ -1,3 +0,0 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_countdischarge","phone_battery_rapids_sumdurationdischarge","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_maxconsumptionrate","phone_battery_rapids_countcharge","phone_battery_rapids_sumdurationcharge"
"beforeMarchEvent#2020-03-07 16:00:00,2020-03-08 15:00:00","beforeMarchEvent","2020-03-07 16:00:00","2020-03-08 15:00:00",2,70.9154833333333,0.0607260020848825,0.0769243589957268,2,83.9986
"beforeNovemberEvent#2020-10-31 16:00:00,2020-11-01 13:00:00","beforeNovemberEvent","2020-10-31 16:00:00","2020-11-01 13:00:00",2,70.9154833333333,0.0607260020848825,0.0769243589957268,2,83.9986
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_countdischarge phone_battery_rapids_sumdurationdischarge phone_battery_rapids_avgconsumptionrate phone_battery_rapids_maxconsumptionrate phone_battery_rapids_countcharge phone_battery_rapids_sumdurationcharge
2 beforeMarchEvent#2020-03-07 16:00:00,2020-03-08 15:00:00 beforeMarchEvent 2020-03-07 16:00:00 2020-03-08 15:00:00 2 70.9154833333333 0.0607260020848825 0.0769243589957268 2 83.9986
3 beforeNovemberEvent#2020-10-31 16:00:00,2020-11-01 13:00:00 beforeNovemberEvent 2020-10-31 16:00:00 2020-11-01 13:00:00 2 70.9154833333333 0.0607260020848825 0.0769243589957268 2 83.9986

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@ -1 +1 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_keyboard_rapids_changeintextlengthequaltominusone","phone_keyboard_rapids_maxtextlength","phone_keyboard_rapids_sessioncount","phone_keyboard_rapids_changeintextlengthequaltoone","phone_keyboard_rapids_changeintextlengthlessthanminusone","phone_keyboard_rapids_averagesessionlength","phone_keyboard_rapids_changeintextlengthmorethanone","phone_keyboard_rapids_totalkeyboardtouches","phone_keyboard_rapids_lastmessagelength","phone_keyboard_rapids_averageinterkeydelay" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_keyboard_rapids_averagesessionlength","phone_keyboard_rapids_sessioncount","phone_keyboard_rapids_changeintextlengthmorethanone","phone_keyboard_rapids_averageinterkeydelay","phone_keyboard_rapids_maxtextlength","phone_keyboard_rapids_changeintextlengthequaltominusone","phone_keyboard_rapids_changeintextlengthequaltoone","phone_keyboard_rapids_changeintextlengthlessthanminusone","phone_keyboard_rapids_totalkeyboardtouches","phone_keyboard_rapids_lastmessagelength"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_keyboard_rapids_averagesessionlength phone_keyboard_rapids_sessioncount phone_keyboard_rapids_changeintextlengthmorethanone phone_keyboard_rapids_averageinterkeydelay phone_keyboard_rapids_maxtextlength phone_keyboard_rapids_changeintextlengthequaltominusone phone_keyboard_rapids_changeintextlengthequaltoone phone_keyboard_rapids_changeintextlengthlessthanminusone phone_keyboard_rapids_totalkeyboardtouches phone_keyboard_rapids_lastmessagelength

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@ -1 +1 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_sumdurationactivebout

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@ -35,16 +35,16 @@
"thirtyminutes0018#2020-03-07 09:00:00,2020-03-07 09:29:59","thirtyminutes0018","2020-03-07 09:00:00","2020-03-07 09:29:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0018#2020-03-07 09:00:00,2020-03-07 09:29:59","thirtyminutes0018","2020-03-07 09:00:00","2020-03-07 09:29:59",1,7,1,0,4.99991666666667,0
"thirtyminutes0018#2020-10-30 09:00:00,2020-10-30 09:29:59","thirtyminutes0018","2020-10-30 09:00:00","2020-10-30 09:29:59",2,8,1,0,9.99983333333333,0 "thirtyminutes0018#2020-10-30 09:00:00,2020-10-30 09:29:59","thirtyminutes0018","2020-10-30 09:00:00","2020-10-30 09:29:59",2,8,1,0,9.99983333333333,0
"thirtyminutes0018#2020-10-31 09:00:00,2020-10-31 09:29:59","thirtyminutes0018","2020-10-31 09:00:00","2020-10-31 09:29:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0018#2020-10-31 09:00:00,2020-10-31 09:29:59","thirtyminutes0018","2020-10-31 09:00:00","2020-10-31 09:29:59",1,7,1,0,4.99991666666667,0
"thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59","thirtyminutes0020","2020-03-06 10:00:00","2020-03-06 10:29:59",1,0,1,0,0,10.15325 "thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59","thirtyminutes0020","2020-03-06 10:00:00","2020-03-06 10:29:59",1,0,1,0,NA,10.15325
"thirtyminutes0020#2020-03-07 10:00:00,2020-03-07 10:29:59","thirtyminutes0020","2020-03-07 10:00:00","2020-03-07 10:29:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0020#2020-03-07 10:00:00,2020-03-07 10:29:59","thirtyminutes0020","2020-03-07 10:00:00","2020-03-07 10:29:59",1,7,1,0,4.99991666666667,NA
"thirtyminutes0020#2020-03-09 10:00:00,2020-03-09 10:29:59","thirtyminutes0020","2020-03-09 10:00:00","2020-03-09 10:29:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0020#2020-03-09 10:00:00,2020-03-09 10:29:59","thirtyminutes0020","2020-03-09 10:00:00","2020-03-09 10:29:59",1,7,1,0,4.99991666666667,NA
"thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59","thirtyminutes0020","2020-10-30 10:00:00","2020-10-30 10:29:59",1,0,1,0,0,10.15325 "thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59","thirtyminutes0020","2020-10-30 10:00:00","2020-10-30 10:29:59",1,0,1,0,NA,10.15325
"thirtyminutes0020#2020-10-31 10:00:00,2020-10-31 10:29:59","thirtyminutes0020","2020-10-31 10:00:00","2020-10-31 10:29:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0020#2020-10-31 10:00:00,2020-10-31 10:29:59","thirtyminutes0020","2020-10-31 10:00:00","2020-10-31 10:29:59",1,7,1,0,4.99991666666667,NA
"thirtyminutes0020#2020-11-02 10:00:00,2020-11-02 10:29:59","thirtyminutes0020","2020-11-02 10:00:00","2020-11-02 10:29:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0020#2020-11-02 10:00:00,2020-11-02 10:29:59","thirtyminutes0020","2020-11-02 10:00:00","2020-11-02 10:29:59",1,7,1,0,4.99991666666667,NA
"thirtyminutes0021#2020-03-06 10:30:00,2020-03-06 10:59:59","thirtyminutes0021","2020-03-06 10:30:00","2020-03-06 10:59:59",1,0,1,0,0,4.99991666666667 "thirtyminutes0021#2020-03-06 10:30:00,2020-03-06 10:59:59","thirtyminutes0021","2020-03-06 10:30:00","2020-03-06 10:59:59",1,0,1,0,NA,4.99991666666667
"thirtyminutes0021#2020-03-09 10:30:00,2020-03-09 10:59:59","thirtyminutes0021","2020-03-09 10:30:00","2020-03-09 10:59:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0021#2020-03-09 10:30:00,2020-03-09 10:59:59","thirtyminutes0021","2020-03-09 10:30:00","2020-03-09 10:59:59",1,7,1,0,4.99991666666667,NA
"thirtyminutes0021#2020-10-30 10:30:00,2020-10-30 10:59:59","thirtyminutes0021","2020-10-30 10:30:00","2020-10-30 10:59:59",1,0,1,0,0,4.99991666666667 "thirtyminutes0021#2020-10-30 10:30:00,2020-10-30 10:59:59","thirtyminutes0021","2020-10-30 10:30:00","2020-10-30 10:59:59",1,0,1,0,NA,4.99991666666667
"thirtyminutes0021#2020-11-02 10:30:00,2020-11-02 10:59:59","thirtyminutes0021","2020-11-02 10:30:00","2020-11-02 10:59:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0021#2020-11-02 10:30:00,2020-11-02 10:59:59","thirtyminutes0021","2020-11-02 10:30:00","2020-11-02 10:59:59",1,7,1,0,4.99991666666667,NA
"thirtyminutes0022#2020-03-06 11:00:00,2020-03-06 11:29:59","thirtyminutes0022","2020-03-06 11:00:00","2020-03-06 11:29:59",1,2,1,0,4.99991666666667,0 "thirtyminutes0022#2020-03-06 11:00:00,2020-03-06 11:29:59","thirtyminutes0022","2020-03-06 11:00:00","2020-03-06 11:29:59",1,2,1,0,4.99991666666667,0
"thirtyminutes0022#2020-10-30 11:00:00,2020-10-30 11:29:59","thirtyminutes0022","2020-10-30 11:00:00","2020-10-30 11:29:59",1,2,1,0,4.99991666666667,0 "thirtyminutes0022#2020-10-30 11:00:00,2020-10-30 11:29:59","thirtyminutes0022","2020-10-30 11:00:00","2020-10-30 11:29:59",1,2,1,0,4.99991666666667,0
"thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59","thirtyminutes0023","2020-03-06 11:30:00","2020-03-06 11:59:59",1,2,1,0,4.99991666666667,0 "thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59","thirtyminutes0023","2020-03-06 11:30:00","2020-03-06 11:59:59",1,2,1,0,4.99991666666667,0
@ -81,10 +81,10 @@
"thirtyminutes0035#2020-11-02 17:30:00,2020-11-02 17:59:59","thirtyminutes0035","2020-11-02 17:30:00","2020-11-02 17:59:59",1,0,1,0,0,0.999983333333333 "thirtyminutes0035#2020-11-02 17:30:00,2020-11-02 17:59:59","thirtyminutes0035","2020-11-02 17:30:00","2020-11-02 17:59:59",1,0,1,0,0,0.999983333333333
"thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59","thirtyminutes0036","2020-03-06 18:00:00","2020-03-06 18:29:59",2,0,1,0,0,9.99983333333333 "thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59","thirtyminutes0036","2020-03-06 18:00:00","2020-03-06 18:29:59",2,0,1,0,0,9.99983333333333
"thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59","thirtyminutes0036","2020-10-30 18:00:00","2020-10-30 18:29:59",2,0,1,0,0,9.99983333333333 "thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59","thirtyminutes0036","2020-10-30 18:00:00","2020-10-30 18:29:59",2,0,1,0,0,9.99983333333333
"thirtyminutes0037#2020-03-06 18:30:00,2020-03-06 18:59:59","thirtyminutes0037","2020-03-06 18:30:00","2020-03-06 18:59:59",1,7,1,0,5.69215,0 "thirtyminutes0037#2020-03-06 18:30:00,2020-03-06 18:59:59","thirtyminutes0037","2020-03-06 18:30:00","2020-03-06 18:59:59",1,7,1,0,5.69215,NA
"thirtyminutes0037#2020-03-09 18:30:00,2020-03-09 18:59:59","thirtyminutes0037","2020-03-09 18:30:00","2020-03-09 18:59:59",1,0,1,0,0,4.99991666666667 "thirtyminutes0037#2020-03-09 18:30:00,2020-03-09 18:59:59","thirtyminutes0037","2020-03-09 18:30:00","2020-03-09 18:59:59",1,0,1,0,NA,4.99991666666667
"thirtyminutes0037#2020-10-30 18:30:00,2020-10-30 18:59:59","thirtyminutes0037","2020-10-30 18:30:00","2020-10-30 18:59:59",1,7,1,0,5.69215,0 "thirtyminutes0037#2020-10-30 18:30:00,2020-10-30 18:59:59","thirtyminutes0037","2020-10-30 18:30:00","2020-10-30 18:59:59",1,7,1,0,5.69215,NA
"thirtyminutes0037#2020-11-02 18:30:00,2020-11-02 18:59:59","thirtyminutes0037","2020-11-02 18:30:00","2020-11-02 18:59:59",1,0,1,0,0,4.99991666666667 "thirtyminutes0037#2020-11-02 18:30:00,2020-11-02 18:59:59","thirtyminutes0037","2020-11-02 18:30:00","2020-11-02 18:59:59",1,0,1,0,NA,4.99991666666667
"thirtyminutes0038#2020-03-06 19:00:00,2020-03-06 19:29:59","thirtyminutes0038","2020-03-06 19:00:00","2020-03-06 19:29:59",4,7,2,0,15.7384333333333,0 "thirtyminutes0038#2020-03-06 19:00:00,2020-03-06 19:29:59","thirtyminutes0038","2020-03-06 19:00:00","2020-03-06 19:29:59",4,7,2,0,15.7384333333333,0
"thirtyminutes0038#2020-10-30 19:00:00,2020-10-30 19:29:59","thirtyminutes0038","2020-10-30 19:00:00","2020-10-30 19:29:59",4,7,2,0,15.7384333333333,0 "thirtyminutes0038#2020-10-30 19:00:00,2020-10-30 19:29:59","thirtyminutes0038","2020-10-30 19:00:00","2020-10-30 19:29:59",4,7,2,0,15.7384333333333,0
"thirtyminutes0039#2020-03-06 19:30:00,2020-03-06 19:59:59","thirtyminutes0039","2020-03-06 19:30:00","2020-03-06 19:59:59",2,1,1,0,6.71366666666667,0 "thirtyminutes0039#2020-03-06 19:30:00,2020-03-06 19:59:59","thirtyminutes0039","2020-03-06 19:30:00","2020-03-06 19:59:59",2,1,1,0,6.71366666666667,0

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_activity_recognition_rapids_count phone_activity_recognition_rapids_mostcommonactivity phone_activity_recognition_rapids_countuniqueactivities phone_activity_recognition_rapids_durationstationary phone_activity_recognition_rapids_durationmobile phone_activity_recognition_rapids_durationvehicle
35 thirtyminutes0018#2020-03-07 09:00:00,2020-03-07 09:29:59 thirtyminutes0018 2020-03-07 09:00:00 2020-03-07 09:29:59 1 7 1 0 4.99991666666667 0
36 thirtyminutes0018#2020-10-30 09:00:00,2020-10-30 09:29:59 thirtyminutes0018 2020-10-30 09:00:00 2020-10-30 09:29:59 2 8 1 0 9.99983333333333 0
37 thirtyminutes0018#2020-10-31 09:00:00,2020-10-31 09:29:59 thirtyminutes0018 2020-10-31 09:00:00 2020-10-31 09:29:59 1 7 1 0 4.99991666666667 0
38 thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59 thirtyminutes0020 2020-03-06 10:00:00 2020-03-06 10:29:59 1 0 1 0 0 NA 10.15325
39 thirtyminutes0020#2020-03-07 10:00:00,2020-03-07 10:29:59 thirtyminutes0020 2020-03-07 10:00:00 2020-03-07 10:29:59 1 7 1 0 4.99991666666667 0 NA
40 thirtyminutes0020#2020-03-09 10:00:00,2020-03-09 10:29:59 thirtyminutes0020 2020-03-09 10:00:00 2020-03-09 10:29:59 1 7 1 0 4.99991666666667 0 NA
41 thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59 thirtyminutes0020 2020-10-30 10:00:00 2020-10-30 10:29:59 1 0 1 0 0 NA 10.15325
42 thirtyminutes0020#2020-10-31 10:00:00,2020-10-31 10:29:59 thirtyminutes0020 2020-10-31 10:00:00 2020-10-31 10:29:59 1 7 1 0 4.99991666666667 0 NA
43 thirtyminutes0020#2020-11-02 10:00:00,2020-11-02 10:29:59 thirtyminutes0020 2020-11-02 10:00:00 2020-11-02 10:29:59 1 7 1 0 4.99991666666667 0 NA
44 thirtyminutes0021#2020-03-06 10:30:00,2020-03-06 10:59:59 thirtyminutes0021 2020-03-06 10:30:00 2020-03-06 10:59:59 1 0 1 0 0 NA 4.99991666666667
45 thirtyminutes0021#2020-03-09 10:30:00,2020-03-09 10:59:59 thirtyminutes0021 2020-03-09 10:30:00 2020-03-09 10:59:59 1 7 1 0 4.99991666666667 0 NA
46 thirtyminutes0021#2020-10-30 10:30:00,2020-10-30 10:59:59 thirtyminutes0021 2020-10-30 10:30:00 2020-10-30 10:59:59 1 0 1 0 0 NA 4.99991666666667
47 thirtyminutes0021#2020-11-02 10:30:00,2020-11-02 10:59:59 thirtyminutes0021 2020-11-02 10:30:00 2020-11-02 10:59:59 1 7 1 0 4.99991666666667 0 NA
48 thirtyminutes0022#2020-03-06 11:00:00,2020-03-06 11:29:59 thirtyminutes0022 2020-03-06 11:00:00 2020-03-06 11:29:59 1 2 1 0 4.99991666666667 0
49 thirtyminutes0022#2020-10-30 11:00:00,2020-10-30 11:29:59 thirtyminutes0022 2020-10-30 11:00:00 2020-10-30 11:29:59 1 2 1 0 4.99991666666667 0
50 thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59 thirtyminutes0023 2020-03-06 11:30:00 2020-03-06 11:59:59 1 2 1 0 4.99991666666667 0
81 thirtyminutes0035#2020-11-02 17:30:00,2020-11-02 17:59:59 thirtyminutes0035 2020-11-02 17:30:00 2020-11-02 17:59:59 1 0 1 0 0 0.999983333333333
82 thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59 thirtyminutes0036 2020-03-06 18:00:00 2020-03-06 18:29:59 2 0 1 0 0 9.99983333333333
83 thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59 thirtyminutes0036 2020-10-30 18:00:00 2020-10-30 18:29:59 2 0 1 0 0 9.99983333333333
84 thirtyminutes0037#2020-03-06 18:30:00,2020-03-06 18:59:59 thirtyminutes0037 2020-03-06 18:30:00 2020-03-06 18:59:59 1 7 1 0 5.69215 0 NA
85 thirtyminutes0037#2020-03-09 18:30:00,2020-03-09 18:59:59 thirtyminutes0037 2020-03-09 18:30:00 2020-03-09 18:59:59 1 0 1 0 0 NA 4.99991666666667
86 thirtyminutes0037#2020-10-30 18:30:00,2020-10-30 18:59:59 thirtyminutes0037 2020-10-30 18:30:00 2020-10-30 18:59:59 1 7 1 0 5.69215 0 NA
87 thirtyminutes0037#2020-11-02 18:30:00,2020-11-02 18:59:59 thirtyminutes0037 2020-11-02 18:30:00 2020-11-02 18:59:59 1 0 1 0 0 NA 4.99991666666667
88 thirtyminutes0038#2020-03-06 19:00:00,2020-03-06 19:29:59 thirtyminutes0038 2020-03-06 19:00:00 2020-03-06 19:29:59 4 7 2 0 15.7384333333333 0
89 thirtyminutes0038#2020-10-30 19:00:00,2020-10-30 19:29:59 thirtyminutes0038 2020-10-30 19:00:00 2020-10-30 19:29:59 4 7 2 0 15.7384333333333 0
90 thirtyminutes0039#2020-03-06 19:30:00,2020-03-06 19:59:59 thirtyminutes0039 2020-03-06 19:30:00 2020-03-06 19:59:59 2 1 1 0 6.71366666666667 0

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@ -1,49 +0,0 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_countdischarge","phone_battery_rapids_sumdurationdischarge","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_maxconsumptionrate","phone_battery_rapids_countcharge","phone_battery_rapids_sumdurationcharge"
"thirtyminutes0000#2020-03-06 00:00:00,2020-03-06 00:29:59","thirtyminutes0000","2020-03-06 00:00:00","2020-03-06 00:29:59",1,21.8259833333333,0.137450851775292,0.137450851775292,0,0
"thirtyminutes0000#2020-10-30 00:00:00,2020-10-30 00:29:59","thirtyminutes0000","2020-10-30 00:00:00","2020-10-30 00:29:59",1,21.8259833333333,0.137450851775292,0.137450851775292,0,0
"thirtyminutes0006#2020-03-06 03:00:00,2020-03-06 03:29:59","thirtyminutes0006","2020-03-06 03:00:00","2020-03-06 03:29:59",0,0,0,0,1,9.49288333333333
"thirtyminutes0006#2020-10-30 03:00:00,2020-10-30 03:29:59","thirtyminutes0006","2020-10-30 03:00:00","2020-10-30 03:29:59",0,0,0,0,1,9.49288333333333
"thirtyminutes0007#2020-03-06 03:30:00,2020-03-06 03:59:59","thirtyminutes0007","2020-03-06 03:30:00","2020-03-06 03:59:59",0,0,0,0,1,29.9994666666667
"thirtyminutes0007#2020-10-30 03:30:00,2020-10-30 03:59:59","thirtyminutes0007","2020-10-30 03:30:00","2020-10-30 03:59:59",0,0,0,0,1,29.9994666666667
"thirtyminutes0011#2020-03-06 05:30:00,2020-03-06 05:59:59","thirtyminutes0011","2020-03-06 05:30:00","2020-03-06 05:59:59",1,2.49788333333333,0.400338953647421,0.400338953647421,0,0
"thirtyminutes0011#2020-03-09 05:30:00,2020-03-09 05:59:59","thirtyminutes0011","2020-03-09 05:30:00","2020-03-09 05:59:59",1,28.9995166666667,0.0689666666858241,0.0689666666858241,0,0
"thirtyminutes0011#2020-10-30 05:30:00,2020-10-30 05:59:59","thirtyminutes0011","2020-10-30 05:30:00","2020-10-30 05:59:59",1,2.49788333333333,0.400338953647421,0.400338953647421,0,0
"thirtyminutes0011#2020-11-02 05:30:00,2020-11-02 05:59:59","thirtyminutes0011","2020-11-02 05:30:00","2020-11-02 05:59:59",1,28.9995166666667,0.0689666666858241,0.0689666666858241,0,0
"thirtyminutes0012#2020-03-06 06:00:00,2020-03-06 06:29:59","thirtyminutes0012","2020-03-06 06:00:00","2020-03-06 06:29:59",1,29.9994666666667,0.0666678518729222,0.0666678518729222,0,0
"thirtyminutes0012#2020-10-30 06:00:00,2020-10-30 06:29:59","thirtyminutes0012","2020-10-30 06:00:00","2020-10-30 06:29:59",1,29.9994666666667,0.0666678518729222,0.0666678518729222,0,0
"thirtyminutes0014#2020-03-09 07:00:00,2020-03-09 07:29:59","thirtyminutes0014","2020-03-09 07:00:00","2020-03-09 07:29:59",0,0,0,0,1,24.9995833333333
"thirtyminutes0014#2020-11-02 07:00:00,2020-11-02 07:29:59","thirtyminutes0014","2020-11-02 07:00:00","2020-11-02 07:29:59",0,0,0,0,1,24.9995833333333
"thirtyminutes0016#2020-03-06 08:00:00,2020-03-06 08:29:59","thirtyminutes0016","2020-03-06 08:00:00","2020-03-06 08:29:59",0,0,0,0,1,25.4592833333333
"thirtyminutes0016#2020-10-30 08:00:00,2020-10-30 08:29:59","thirtyminutes0016","2020-10-30 08:00:00","2020-10-30 08:29:59",0,0,0,0,1,25.4592833333333
"thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59","thirtyminutes0020","2020-03-06 10:00:00","2020-03-06 10:29:59",1,6.70958333333333,0.298081102900081,0.298081102900081,0,0
"thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59","thirtyminutes0020","2020-10-30 10:00:00","2020-10-30 10:29:59",1,6.70958333333333,0.298081102900081,0.298081102900081,0,0
"thirtyminutes0021#2020-03-06 10:30:00,2020-03-06 10:59:59","thirtyminutes0021","2020-03-06 10:30:00","2020-03-06 10:59:59",1,29.9994833333333,0.0333339074172944,0.0333339074172944,0,0
"thirtyminutes0021#2020-10-30 10:30:00,2020-10-30 10:59:59","thirtyminutes0021","2020-10-30 10:30:00","2020-10-30 10:59:59",1,29.9994833333333,0.0333339074172944,0.0333339074172944,0,0
"thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59","thirtyminutes0023","2020-03-06 11:30:00","2020-03-06 11:59:59",0,0,0,0,1,4.02631666666667
"thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59","thirtyminutes0023","2020-10-30 11:30:00","2020-10-30 11:59:59",0,0,0,0,1,4.02631666666667
"thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59","thirtyminutes0024","2020-03-06 12:00:00","2020-03-06 12:29:59",0,0,0,0,1,29.9994666666667
"thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59","thirtyminutes0024","2020-10-30 12:00:00","2020-10-30 12:29:59",0,0,0,0,1,29.9994666666667
"thirtyminutes0027#2020-03-06 13:30:00,2020-03-06 13:59:59","thirtyminutes0027","2020-03-06 13:30:00","2020-03-06 13:59:59",1,7.87625,0.253927947944771,0.253927947944771,0,0
"thirtyminutes0027#2020-10-30 13:30:00,2020-10-30 13:59:59","thirtyminutes0027","2020-10-30 13:30:00","2020-10-30 13:59:59",1,7.87625,0.253927947944771,0.253927947944771,0,0
"thirtyminutes0028#2020-03-06 14:00:00,2020-03-06 14:29:59","thirtyminutes0028","2020-03-06 14:00:00","2020-03-06 14:29:59",1,29.9994666666667,0.0333339259364611,0.0333339259364611,0,0
"thirtyminutes0028#2020-03-07 14:00:00,2020-03-07 14:29:59","thirtyminutes0028","2020-03-07 14:00:00","2020-03-07 14:29:59",1,29.9161666666667,0.0668534850164627,0.0668534850164627,0,0
"thirtyminutes0028#2020-10-30 14:00:00,2020-10-30 14:29:59","thirtyminutes0028","2020-10-30 14:00:00","2020-10-30 14:29:59",1,29.9994666666667,0.0333339259364611,0.0333339259364611,0,0
"thirtyminutes0028#2020-10-31 14:00:00,2020-10-31 14:29:59","thirtyminutes0028","2020-10-31 14:00:00","2020-10-31 14:29:59",1,29.9161666666667,0.0668534850164627,0.0668534850164627,0,0
"thirtyminutes0032#2020-03-06 16:00:00,2020-03-06 16:29:59","thirtyminutes0032","2020-03-06 16:00:00","2020-03-06 16:29:59",0,0,0,0,1,16.54275
"thirtyminutes0032#2020-10-30 16:00:00,2020-10-30 16:29:59","thirtyminutes0032","2020-10-30 16:00:00","2020-10-30 16:29:59",0,0,0,0,1,16.54275
"thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59","thirtyminutes0035","2020-03-06 17:30:00","2020-03-06 17:59:59",1,3.94786666666667,0.253301361072647,0.253301361072647,0,0
"thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59","thirtyminutes0035","2020-10-30 17:30:00","2020-10-30 17:59:59",1,3.94786666666667,0.253301361072647,0.253301361072647,0,0
"thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59","thirtyminutes0036","2020-03-06 18:00:00","2020-03-06 18:29:59",1,29.9994666666667,0.0666678518729222,0.0666678518729222,0,0
"thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59","thirtyminutes0036","2020-10-30 18:00:00","2020-10-30 18:29:59",1,29.9994666666667,0.0666678518729222,0.0666678518729222,0,0
"thirtyminutes0037#2020-03-07 18:30:00,2020-03-07 18:59:59","thirtyminutes0037","2020-03-07 18:30:00","2020-03-07 18:59:59",0,0,0,0,1,27.9995333333333
"thirtyminutes0037#2020-10-31 18:30:00,2020-10-31 18:59:59","thirtyminutes0037","2020-10-31 18:30:00","2020-10-31 18:59:59",0,0,0,0,1,27.9995333333333
"thirtyminutes0040#2020-03-06 20:00:00,2020-03-06 20:29:59","thirtyminutes0040","2020-03-06 20:00:00","2020-03-06 20:29:59",0,0,0,0,1,26.9425666666667
"thirtyminutes0040#2020-10-30 20:00:00,2020-10-30 20:29:59","thirtyminutes0040","2020-10-30 20:00:00","2020-10-30 20:29:59",0,0,0,0,1,26.9425666666667
"thirtyminutes0043#2020-03-06 21:30:00,2020-03-06 21:59:59","thirtyminutes0043","2020-03-06 21:30:00","2020-03-06 21:59:59",1,9.95743333333333,0.301282459000479,0.301282459000479,1,19.9684
"thirtyminutes0043#2020-03-07 21:30:00,2020-03-07 21:59:59","thirtyminutes0043","2020-03-07 21:30:00","2020-03-07 21:59:59",1,19.9996666666667,0.100001666694445,0.100001666694445,1,9.99983333333333
"thirtyminutes0043#2020-10-30 21:30:00,2020-10-30 21:59:59","thirtyminutes0043","2020-10-30 21:30:00","2020-10-30 21:59:59",1,9.95743333333333,0.301282459000479,0.301282459000479,1,19.9684
"thirtyminutes0043#2020-10-31 21:30:00,2020-10-31 21:59:59","thirtyminutes0043","2020-10-31 21:30:00","2020-10-31 21:59:59",1,19.9996666666667,0.100001666694445,0.100001666694445,1,9.99983333333333
"thirtyminutes0044#2020-03-08 22:00:00,2020-03-08 22:29:59","thirtyminutes0044","2020-03-08 22:00:00","2020-03-08 22:29:59",1,14.99975,0.133335555592593,0.133335555592593,1,14.99975
"thirtyminutes0044#2020-11-01 22:00:00,2020-11-01 22:29:59","thirtyminutes0044","2020-11-01 22:00:00","2020-11-01 22:29:59",1,14.99975,0.133335555592593,0.133335555592593,1,14.99975
"thirtyminutes0047#2020-03-06 23:30:00,2020-03-06 23:59:59","thirtyminutes0047","2020-03-06 23:30:00","2020-03-06 23:59:59",1,2.20203333333333,0.454125732277743,0.454125732277743,0,0
"thirtyminutes0047#2020-10-30 23:30:00,2020-10-30 23:59:59","thirtyminutes0047","2020-10-30 23:30:00","2020-10-30 23:59:59",1,2.20203333333333,0.454125732277743,0.454125732277743,0,0
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_countdischarge phone_battery_rapids_sumdurationdischarge phone_battery_rapids_avgconsumptionrate phone_battery_rapids_maxconsumptionrate phone_battery_rapids_countcharge phone_battery_rapids_sumdurationcharge
2 thirtyminutes0000#2020-03-06 00:00:00,2020-03-06 00:29:59 thirtyminutes0000 2020-03-06 00:00:00 2020-03-06 00:29:59 1 21.8259833333333 0.137450851775292 0.137450851775292 0 0
3 thirtyminutes0000#2020-10-30 00:00:00,2020-10-30 00:29:59 thirtyminutes0000 2020-10-30 00:00:00 2020-10-30 00:29:59 1 21.8259833333333 0.137450851775292 0.137450851775292 0 0
4 thirtyminutes0006#2020-03-06 03:00:00,2020-03-06 03:29:59 thirtyminutes0006 2020-03-06 03:00:00 2020-03-06 03:29:59 0 0 0 0 1 9.49288333333333
5 thirtyminutes0006#2020-10-30 03:00:00,2020-10-30 03:29:59 thirtyminutes0006 2020-10-30 03:00:00 2020-10-30 03:29:59 0 0 0 0 1 9.49288333333333
6 thirtyminutes0007#2020-03-06 03:30:00,2020-03-06 03:59:59 thirtyminutes0007 2020-03-06 03:30:00 2020-03-06 03:59:59 0 0 0 0 1 29.9994666666667
7 thirtyminutes0007#2020-10-30 03:30:00,2020-10-30 03:59:59 thirtyminutes0007 2020-10-30 03:30:00 2020-10-30 03:59:59 0 0 0 0 1 29.9994666666667
8 thirtyminutes0011#2020-03-06 05:30:00,2020-03-06 05:59:59 thirtyminutes0011 2020-03-06 05:30:00 2020-03-06 05:59:59 1 2.49788333333333 0.400338953647421 0.400338953647421 0 0
9 thirtyminutes0011#2020-03-09 05:30:00,2020-03-09 05:59:59 thirtyminutes0011 2020-03-09 05:30:00 2020-03-09 05:59:59 1 28.9995166666667 0.0689666666858241 0.0689666666858241 0 0
10 thirtyminutes0011#2020-10-30 05:30:00,2020-10-30 05:59:59 thirtyminutes0011 2020-10-30 05:30:00 2020-10-30 05:59:59 1 2.49788333333333 0.400338953647421 0.400338953647421 0 0
11 thirtyminutes0011#2020-11-02 05:30:00,2020-11-02 05:59:59 thirtyminutes0011 2020-11-02 05:30:00 2020-11-02 05:59:59 1 28.9995166666667 0.0689666666858241 0.0689666666858241 0 0
12 thirtyminutes0012#2020-03-06 06:00:00,2020-03-06 06:29:59 thirtyminutes0012 2020-03-06 06:00:00 2020-03-06 06:29:59 1 29.9994666666667 0.0666678518729222 0.0666678518729222 0 0
13 thirtyminutes0012#2020-10-30 06:00:00,2020-10-30 06:29:59 thirtyminutes0012 2020-10-30 06:00:00 2020-10-30 06:29:59 1 29.9994666666667 0.0666678518729222 0.0666678518729222 0 0
14 thirtyminutes0014#2020-03-09 07:00:00,2020-03-09 07:29:59 thirtyminutes0014 2020-03-09 07:00:00 2020-03-09 07:29:59 0 0 0 0 1 24.9995833333333
15 thirtyminutes0014#2020-11-02 07:00:00,2020-11-02 07:29:59 thirtyminutes0014 2020-11-02 07:00:00 2020-11-02 07:29:59 0 0 0 0 1 24.9995833333333
16 thirtyminutes0016#2020-03-06 08:00:00,2020-03-06 08:29:59 thirtyminutes0016 2020-03-06 08:00:00 2020-03-06 08:29:59 0 0 0 0 1 25.4592833333333
17 thirtyminutes0016#2020-10-30 08:00:00,2020-10-30 08:29:59 thirtyminutes0016 2020-10-30 08:00:00 2020-10-30 08:29:59 0 0 0 0 1 25.4592833333333
18 thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59 thirtyminutes0020 2020-03-06 10:00:00 2020-03-06 10:29:59 1 6.70958333333333 0.298081102900081 0.298081102900081 0 0
19 thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59 thirtyminutes0020 2020-10-30 10:00:00 2020-10-30 10:29:59 1 6.70958333333333 0.298081102900081 0.298081102900081 0 0
20 thirtyminutes0021#2020-03-06 10:30:00,2020-03-06 10:59:59 thirtyminutes0021 2020-03-06 10:30:00 2020-03-06 10:59:59 1 29.9994833333333 0.0333339074172944 0.0333339074172944 0 0
21 thirtyminutes0021#2020-10-30 10:30:00,2020-10-30 10:59:59 thirtyminutes0021 2020-10-30 10:30:00 2020-10-30 10:59:59 1 29.9994833333333 0.0333339074172944 0.0333339074172944 0 0
22 thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59 thirtyminutes0023 2020-03-06 11:30:00 2020-03-06 11:59:59 0 0 0 0 1 4.02631666666667
23 thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59 thirtyminutes0023 2020-10-30 11:30:00 2020-10-30 11:59:59 0 0 0 0 1 4.02631666666667
24 thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59 thirtyminutes0024 2020-03-06 12:00:00 2020-03-06 12:29:59 0 0 0 0 1 29.9994666666667
25 thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59 thirtyminutes0024 2020-10-30 12:00:00 2020-10-30 12:29:59 0 0 0 0 1 29.9994666666667
26 thirtyminutes0027#2020-03-06 13:30:00,2020-03-06 13:59:59 thirtyminutes0027 2020-03-06 13:30:00 2020-03-06 13:59:59 1 7.87625 0.253927947944771 0.253927947944771 0 0
27 thirtyminutes0027#2020-10-30 13:30:00,2020-10-30 13:59:59 thirtyminutes0027 2020-10-30 13:30:00 2020-10-30 13:59:59 1 7.87625 0.253927947944771 0.253927947944771 0 0
28 thirtyminutes0028#2020-03-06 14:00:00,2020-03-06 14:29:59 thirtyminutes0028 2020-03-06 14:00:00 2020-03-06 14:29:59 1 29.9994666666667 0.0333339259364611 0.0333339259364611 0 0
29 thirtyminutes0028#2020-03-07 14:00:00,2020-03-07 14:29:59 thirtyminutes0028 2020-03-07 14:00:00 2020-03-07 14:29:59 1 29.9161666666667 0.0668534850164627 0.0668534850164627 0 0
30 thirtyminutes0028#2020-10-30 14:00:00,2020-10-30 14:29:59 thirtyminutes0028 2020-10-30 14:00:00 2020-10-30 14:29:59 1 29.9994666666667 0.0333339259364611 0.0333339259364611 0 0
31 thirtyminutes0028#2020-10-31 14:00:00,2020-10-31 14:29:59 thirtyminutes0028 2020-10-31 14:00:00 2020-10-31 14:29:59 1 29.9161666666667 0.0668534850164627 0.0668534850164627 0 0
32 thirtyminutes0032#2020-03-06 16:00:00,2020-03-06 16:29:59 thirtyminutes0032 2020-03-06 16:00:00 2020-03-06 16:29:59 0 0 0 0 1 16.54275
33 thirtyminutes0032#2020-10-30 16:00:00,2020-10-30 16:29:59 thirtyminutes0032 2020-10-30 16:00:00 2020-10-30 16:29:59 0 0 0 0 1 16.54275
34 thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59 thirtyminutes0035 2020-03-06 17:30:00 2020-03-06 17:59:59 1 3.94786666666667 0.253301361072647 0.253301361072647 0 0
35 thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59 thirtyminutes0035 2020-10-30 17:30:00 2020-10-30 17:59:59 1 3.94786666666667 0.253301361072647 0.253301361072647 0 0
36 thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59 thirtyminutes0036 2020-03-06 18:00:00 2020-03-06 18:29:59 1 29.9994666666667 0.0666678518729222 0.0666678518729222 0 0
37 thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59 thirtyminutes0036 2020-10-30 18:00:00 2020-10-30 18:29:59 1 29.9994666666667 0.0666678518729222 0.0666678518729222 0 0
38 thirtyminutes0037#2020-03-07 18:30:00,2020-03-07 18:59:59 thirtyminutes0037 2020-03-07 18:30:00 2020-03-07 18:59:59 0 0 0 0 1 27.9995333333333
39 thirtyminutes0037#2020-10-31 18:30:00,2020-10-31 18:59:59 thirtyminutes0037 2020-10-31 18:30:00 2020-10-31 18:59:59 0 0 0 0 1 27.9995333333333
40 thirtyminutes0040#2020-03-06 20:00:00,2020-03-06 20:29:59 thirtyminutes0040 2020-03-06 20:00:00 2020-03-06 20:29:59 0 0 0 0 1 26.9425666666667
41 thirtyminutes0040#2020-10-30 20:00:00,2020-10-30 20:29:59 thirtyminutes0040 2020-10-30 20:00:00 2020-10-30 20:29:59 0 0 0 0 1 26.9425666666667
42 thirtyminutes0043#2020-03-06 21:30:00,2020-03-06 21:59:59 thirtyminutes0043 2020-03-06 21:30:00 2020-03-06 21:59:59 1 9.95743333333333 0.301282459000479 0.301282459000479 1 19.9684
43 thirtyminutes0043#2020-03-07 21:30:00,2020-03-07 21:59:59 thirtyminutes0043 2020-03-07 21:30:00 2020-03-07 21:59:59 1 19.9996666666667 0.100001666694445 0.100001666694445 1 9.99983333333333
44 thirtyminutes0043#2020-10-30 21:30:00,2020-10-30 21:59:59 thirtyminutes0043 2020-10-30 21:30:00 2020-10-30 21:59:59 1 9.95743333333333 0.301282459000479 0.301282459000479 1 19.9684
45 thirtyminutes0043#2020-10-31 21:30:00,2020-10-31 21:59:59 thirtyminutes0043 2020-10-31 21:30:00 2020-10-31 21:59:59 1 19.9996666666667 0.100001666694445 0.100001666694445 1 9.99983333333333
46 thirtyminutes0044#2020-03-08 22:00:00,2020-03-08 22:29:59 thirtyminutes0044 2020-03-08 22:00:00 2020-03-08 22:29:59 1 14.99975 0.133335555592593 0.133335555592593 1 14.99975
47 thirtyminutes0044#2020-11-01 22:00:00,2020-11-01 22:29:59 thirtyminutes0044 2020-11-01 22:00:00 2020-11-01 22:29:59 1 14.99975 0.133335555592593 0.133335555592593 1 14.99975
48 thirtyminutes0047#2020-03-06 23:30:00,2020-03-06 23:59:59 thirtyminutes0047 2020-03-06 23:30:00 2020-03-06 23:59:59 1 2.20203333333333 0.454125732277743 0.454125732277743 0 0
49 thirtyminutes0047#2020-10-30 23:30:00,2020-10-30 23:59:59 thirtyminutes0047 2020-10-30 23:30:00 2020-10-30 23:59:59 1 2.20203333333333 0.454125732277743 0.454125732277743 0 0

View File

@ -1,125 +1,125 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_calls_rapids_missed_count","phone_calls_rapids_missed_distinctcontacts","phone_calls_rapids_missed_timefirstcall","phone_calls_rapids_missed_timelastcall","phone_calls_rapids_missed_countmostfrequentcontact","phone_calls_rapids_incoming_count","phone_calls_rapids_incoming_distinctcontacts","phone_calls_rapids_incoming_meanduration","phone_calls_rapids_incoming_sumduration","phone_calls_rapids_incoming_minduration","phone_calls_rapids_incoming_maxduration","phone_calls_rapids_incoming_stdduration","phone_calls_rapids_incoming_modeduration","phone_calls_rapids_incoming_entropyduration","phone_calls_rapids_incoming_timefirstcall","phone_calls_rapids_incoming_timelastcall","phone_calls_rapids_incoming_countmostfrequentcontact","phone_calls_rapids_outgoing_count","phone_calls_rapids_outgoing_distinctcontacts","phone_calls_rapids_outgoing_meanduration","phone_calls_rapids_outgoing_sumduration","phone_calls_rapids_outgoing_minduration","phone_calls_rapids_outgoing_maxduration","phone_calls_rapids_outgoing_stdduration","phone_calls_rapids_outgoing_modeduration","phone_calls_rapids_outgoing_entropyduration","phone_calls_rapids_outgoing_timefirstcall","phone_calls_rapids_outgoing_timelastcall","phone_calls_rapids_outgoing_countmostfrequentcontact" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_calls_rapids_missed_count","phone_calls_rapids_missed_distinctcontacts","phone_calls_rapids_missed_timefirstcall","phone_calls_rapids_missed_timelastcall","phone_calls_rapids_missed_countmostfrequentcontact","phone_calls_rapids_incoming_count","phone_calls_rapids_incoming_distinctcontacts","phone_calls_rapids_incoming_meanduration","phone_calls_rapids_incoming_sumduration","phone_calls_rapids_incoming_minduration","phone_calls_rapids_incoming_maxduration","phone_calls_rapids_incoming_stdduration","phone_calls_rapids_incoming_modeduration","phone_calls_rapids_incoming_entropyduration","phone_calls_rapids_incoming_timefirstcall","phone_calls_rapids_incoming_timelastcall","phone_calls_rapids_incoming_countmostfrequentcontact","phone_calls_rapids_outgoing_count","phone_calls_rapids_outgoing_distinctcontacts","phone_calls_rapids_outgoing_meanduration","phone_calls_rapids_outgoing_sumduration","phone_calls_rapids_outgoing_minduration","phone_calls_rapids_outgoing_maxduration","phone_calls_rapids_outgoing_stdduration","phone_calls_rapids_outgoing_modeduration","phone_calls_rapids_outgoing_entropyduration","phone_calls_rapids_outgoing_timefirstcall","phone_calls_rapids_outgoing_timelastcall","phone_calls_rapids_outgoing_countmostfrequentcontact"
"thirtyminutes0000#2020-03-06 00:00:00,2020-03-06 00:29:59","thirtyminutes0000","2020-03-06 00:00:00","2020-03-06 00:29:59",1,1,13,13,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0000#2020-03-06 00:00:00,2020-03-06 00:29:59","thirtyminutes0000","2020-03-06 00:00:00","2020-03-06 00:29:59",1,1,13,13,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0000#2020-10-30 00:00:00,2020-10-30 00:29:59","thirtyminutes0000","2020-10-30 00:00:00","2020-10-30 00:29:59",1,1,13,13,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0000#2020-10-30 00:00:00,2020-10-30 00:29:59","thirtyminutes0000","2020-10-30 00:00:00","2020-10-30 00:29:59",1,1,13,13,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0001#2020-03-06 00:30:00,2020-03-06 00:59:59","thirtyminutes0001","2020-03-06 00:30:00","2020-03-06 00:59:59",1,1,57,57,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0001#2020-03-06 00:30:00,2020-03-06 00:59:59","thirtyminutes0001","2020-03-06 00:30:00","2020-03-06 00:59:59",1,1,57,57,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0001#2020-10-30 00:30:00,2020-10-30 00:59:59","thirtyminutes0001","2020-10-30 00:30:00","2020-10-30 00:59:59",1,1,57,57,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0001#2020-10-30 00:30:00,2020-10-30 00:59:59","thirtyminutes0001","2020-10-30 00:30:00","2020-10-30 00:59:59",1,1,57,57,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0005#2020-03-06 02:30:00,2020-03-06 02:59:59","thirtyminutes0005","2020-03-06 02:30:00","2020-03-06 02:59:59",0,0,NA,NA,0,1,1,439,439,439,439,NA,439,0,163,163,1,1,1,462.999,462.999,462.999,462.999,NA,462.999,0,172,172,1 "thirtyminutes0005#2020-03-06 02:30:00,2020-03-06 02:59:59","thirtyminutes0005","2020-03-06 02:30:00","2020-03-06 02:59:59",0,0,NA,NA,0,1,1,439,439,439,439,NA,439,0,163,163,1,1,1,462.999,462.999,462.999,462.999,NA,462.999,0,172,172,1
"thirtyminutes0005#2020-10-30 02:30:00,2020-10-30 02:59:59","thirtyminutes0005","2020-10-30 02:30:00","2020-10-30 02:59:59",0,0,NA,NA,0,1,1,439,439,439,439,NA,439,0,163,163,1,1,1,462.999,462.999,462.999,462.999,NA,462.999,0,172,172,1 "thirtyminutes0005#2020-10-30 02:30:00,2020-10-30 02:59:59","thirtyminutes0005","2020-10-30 02:30:00","2020-10-30 02:59:59",0,0,NA,NA,0,1,1,439,439,439,439,NA,439,0,163,163,1,1,1,462.999,462.999,462.999,462.999,NA,462.999,0,172,172,1
"thirtyminutes0006#2020-03-06 03:00:00,2020-03-06 03:29:59","thirtyminutes0006","2020-03-06 03:00:00","2020-03-06 03:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,507,507,507,507,NA,507,0,180,180,1 "thirtyminutes0006#2020-03-06 03:00:00,2020-03-06 03:29:59","thirtyminutes0006","2020-03-06 03:00:00","2020-03-06 03:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,507,507,507,507,NA,507,0,180,180,1
"thirtyminutes0006#2020-03-09 03:00:00,2020-03-09 03:29:59","thirtyminutes0006","2020-03-09 03:00:00","2020-03-09 03:29:59",1,1,198,198,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0006#2020-03-09 03:00:00,2020-03-09 03:29:59","thirtyminutes0006","2020-03-09 03:00:00","2020-03-09 03:29:59",1,1,198,198,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0006#2020-10-30 03:00:00,2020-10-30 03:29:59","thirtyminutes0006","2020-10-30 03:00:00","2020-10-30 03:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,507,507,507,507,NA,507,0,180,180,1 "thirtyminutes0006#2020-10-30 03:00:00,2020-10-30 03:29:59","thirtyminutes0006","2020-10-30 03:00:00","2020-10-30 03:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,507,507,507,507,NA,507,0,180,180,1
"thirtyminutes0006#2020-11-02 03:00:00,2020-11-02 03:29:59","thirtyminutes0006","2020-11-02 03:00:00","2020-11-02 03:29:59",1,1,198,198,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0006#2020-11-02 03:00:00,2020-11-02 03:29:59","thirtyminutes0006","2020-11-02 03:00:00","2020-11-02 03:29:59",1,1,198,198,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0007#2020-03-08 03:30:00,2020-03-08 03:59:59","thirtyminutes0007","2020-03-08 03:30:00","2020-03-08 03:59:59",0,0,NA,NA,0,1,1,159.999,159.999,159.999,159.999,NA,159.999,0,237,237,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0007#2020-03-08 03:30:00,2020-03-08 03:59:59","thirtyminutes0007","2020-03-08 03:30:00","2020-03-08 03:59:59",0,0,NA,NA,0,1,1,159.999,159.999,159.999,159.999,NA,159.999,0,237,237,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0007#2020-11-01 03:30:00,2020-11-01 03:59:59","thirtyminutes0007","2020-11-01 03:30:00","2020-11-01 03:59:59",0,0,NA,NA,0,1,1,159.999,159.999,159.999,159.999,NA,159.999,0,237,237,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0007#2020-11-01 03:30:00,2020-11-01 03:59:59","thirtyminutes0007","2020-11-01 03:30:00","2020-11-01 03:59:59",0,0,NA,NA,0,1,1,159.999,159.999,159.999,159.999,NA,159.999,0,237,237,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0008#2020-03-06 04:00:00,2020-03-06 04:29:59","thirtyminutes0008","2020-03-06 04:00:00","2020-03-06 04:29:59",1,1,257,257,1,1,1,737.999,737.999,737.999,737.999,NA,737.999,0,257,257,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0008#2020-03-06 04:00:00,2020-03-06 04:29:59","thirtyminutes0008","2020-03-06 04:00:00","2020-03-06 04:29:59",1,1,257,257,1,1,1,737.999,737.999,737.999,737.999,NA,737.999,0,257,257,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0008#2020-03-08 04:00:00,2020-03-08 04:29:59","thirtyminutes0008","2020-03-08 04:00:00","2020-03-08 04:29:59",0,0,NA,NA,0,1,1,815,815,815,815,NA,815,0,240,240,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0008#2020-03-08 04:00:00,2020-03-08 04:29:59","thirtyminutes0008","2020-03-08 04:00:00","2020-03-08 04:29:59",0,0,NA,NA,0,1,1,815,815,815,815,NA,815,0,240,240,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0008#2020-03-09 04:00:00,2020-03-09 04:29:59","thirtyminutes0008","2020-03-09 04:00:00","2020-03-09 04:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,109.999,109.999,109.999,109.999,NA,109.999,0,268,268,1 "thirtyminutes0008#2020-03-09 04:00:00,2020-03-09 04:29:59","thirtyminutes0008","2020-03-09 04:00:00","2020-03-09 04:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,109.999,109.999,109.999,109.999,NA,109.999,0,268,268,1
"thirtyminutes0008#2020-10-30 04:00:00,2020-10-30 04:29:59","thirtyminutes0008","2020-10-30 04:00:00","2020-10-30 04:29:59",1,1,257,257,1,1,1,737.999,737.999,737.999,737.999,NA,737.999,0,257,257,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0008#2020-10-30 04:00:00,2020-10-30 04:29:59","thirtyminutes0008","2020-10-30 04:00:00","2020-10-30 04:29:59",1,1,257,257,1,1,1,737.999,737.999,737.999,737.999,NA,737.999,0,257,257,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0008#2020-11-01 04:00:00,2020-11-01 04:29:59","thirtyminutes0008","2020-11-01 04:00:00","2020-11-01 04:29:59",0,0,NA,NA,0,1,1,815,815,815,815,NA,815,0,240,240,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0008#2020-11-01 04:00:00,2020-11-01 04:29:59","thirtyminutes0008","2020-11-01 04:00:00","2020-11-01 04:29:59",0,0,NA,NA,0,1,1,815,815,815,815,NA,815,0,240,240,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0008#2020-11-02 04:00:00,2020-11-02 04:29:59","thirtyminutes0008","2020-11-02 04:00:00","2020-11-02 04:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,109.999,109.999,109.999,109.999,NA,109.999,0,268,268,1 "thirtyminutes0008#2020-11-02 04:00:00,2020-11-02 04:29:59","thirtyminutes0008","2020-11-02 04:00:00","2020-11-02 04:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,109.999,109.999,109.999,109.999,NA,109.999,0,268,268,1
"thirtyminutes0009#2020-03-06 04:30:00,2020-03-06 04:59:59","thirtyminutes0009","2020-03-06 04:30:00","2020-03-06 04:59:59",0,0,NA,NA,0,1,1,593,593,593,593,NA,593,0,270,270,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0009#2020-03-06 04:30:00,2020-03-06 04:59:59","thirtyminutes0009","2020-03-06 04:30:00","2020-03-06 04:59:59",0,0,NA,NA,0,1,1,593,593,593,593,NA,593,0,270,270,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0009#2020-03-09 04:30:00,2020-03-09 04:59:59","thirtyminutes0009","2020-03-09 04:30:00","2020-03-09 04:59:59",0,0,NA,NA,0,1,1,427,427,427,427,NA,427,0,278,278,0,1,1,25,25,25,25,NA,25,0,270,270,1 "thirtyminutes0009#2020-03-09 04:30:00,2020-03-09 04:59:59","thirtyminutes0009","2020-03-09 04:30:00","2020-03-09 04:59:59",0,0,NA,NA,0,1,1,427,427,427,427,NA,427,0,278,278,0,1,1,25,25,25,25,NA,25,0,270,270,1
"thirtyminutes0009#2020-10-30 04:30:00,2020-10-30 04:59:59","thirtyminutes0009","2020-10-30 04:30:00","2020-10-30 04:59:59",0,0,NA,NA,0,1,1,593,593,593,593,NA,593,0,270,270,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0009#2020-10-30 04:30:00,2020-10-30 04:59:59","thirtyminutes0009","2020-10-30 04:30:00","2020-10-30 04:59:59",0,0,NA,NA,0,1,1,593,593,593,593,NA,593,0,270,270,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0009#2020-11-02 04:30:00,2020-11-02 04:59:59","thirtyminutes0009","2020-11-02 04:30:00","2020-11-02 04:59:59",0,0,NA,NA,0,1,1,427,427,427,427,NA,427,0,278,278,0,1,1,25,25,25,25,NA,25,0,270,270,1 "thirtyminutes0009#2020-11-02 04:30:00,2020-11-02 04:59:59","thirtyminutes0009","2020-11-02 04:30:00","2020-11-02 04:59:59",0,0,NA,NA,0,1,1,427,427,427,427,NA,427,0,278,278,0,1,1,25,25,25,25,NA,25,0,270,270,1
"thirtyminutes0013#2020-03-06 06:30:00,2020-03-06 06:59:59","thirtyminutes0013","2020-03-06 06:30:00","2020-03-06 06:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,74.999,74.999,74.999,74.999,NA,74.999,0,418,418,1 "thirtyminutes0013#2020-03-06 06:30:00,2020-03-06 06:59:59","thirtyminutes0013","2020-03-06 06:30:00","2020-03-06 06:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,74.999,74.999,74.999,74.999,NA,74.999,0,418,418,1
"thirtyminutes0013#2020-03-07 06:30:00,2020-03-07 06:59:59","thirtyminutes0013","2020-03-07 06:30:00","2020-03-07 06:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,74.999,74.999,74.999,74.999,NA,74.999,0,418,418,1 "thirtyminutes0013#2020-03-07 06:30:00,2020-03-07 06:59:59","thirtyminutes0013","2020-03-07 06:30:00","2020-03-07 06:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,74.999,74.999,74.999,74.999,NA,74.999,0,418,418,1
"thirtyminutes0013#2020-10-30 06:30:00,2020-10-30 06:59:59","thirtyminutes0013","2020-10-30 06:30:00","2020-10-30 06:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,74.999,74.999,74.999,74.999,NA,74.999,0,418,418,1 "thirtyminutes0013#2020-10-30 06:30:00,2020-10-30 06:59:59","thirtyminutes0013","2020-10-30 06:30:00","2020-10-30 06:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,74.999,74.999,74.999,74.999,NA,74.999,0,418,418,1
"thirtyminutes0013#2020-10-31 06:30:00,2020-10-31 06:59:59","thirtyminutes0013","2020-10-31 06:30:00","2020-10-31 06:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,74.999,74.999,74.999,74.999,NA,74.999,0,418,418,1 "thirtyminutes0013#2020-10-31 06:30:00,2020-10-31 06:59:59","thirtyminutes0013","2020-10-31 06:30:00","2020-10-31 06:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,74.999,74.999,74.999,74.999,NA,74.999,0,418,418,1
"thirtyminutes0014#2020-03-06 07:00:00,2020-03-06 07:29:59","thirtyminutes0014","2020-03-06 07:00:00","2020-03-06 07:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,1041,1041,1041,1041,NA,1041,0,420,420,1 "thirtyminutes0014#2020-03-06 07:00:00,2020-03-06 07:29:59","thirtyminutes0014","2020-03-06 07:00:00","2020-03-06 07:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,1041,1041,1041,1041,NA,1041,0,420,420,1
"thirtyminutes0014#2020-03-07 07:00:00,2020-03-07 07:29:59","thirtyminutes0014","2020-03-07 07:00:00","2020-03-07 07:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,1041,1041,1041,1041,NA,1041,0,420,420,1 "thirtyminutes0014#2020-03-07 07:00:00,2020-03-07 07:29:59","thirtyminutes0014","2020-03-07 07:00:00","2020-03-07 07:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,1041,1041,1041,1041,NA,1041,0,420,420,1
"thirtyminutes0014#2020-10-30 07:00:00,2020-10-30 07:29:59","thirtyminutes0014","2020-10-30 07:00:00","2020-10-30 07:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,1041,1041,1041,1041,NA,1041,0,420,420,1 "thirtyminutes0014#2020-10-30 07:00:00,2020-10-30 07:29:59","thirtyminutes0014","2020-10-30 07:00:00","2020-10-30 07:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,1041,1041,1041,1041,NA,1041,0,420,420,1
"thirtyminutes0014#2020-10-31 07:00:00,2020-10-31 07:29:59","thirtyminutes0014","2020-10-31 07:00:00","2020-10-31 07:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,1041,1041,1041,1041,NA,1041,0,420,420,1 "thirtyminutes0014#2020-10-31 07:00:00,2020-10-31 07:29:59","thirtyminutes0014","2020-10-31 07:00:00","2020-10-31 07:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,1041,1041,1041,1041,NA,1041,0,420,420,1
"thirtyminutes0017#2020-03-06 08:30:00,2020-03-06 08:59:59","thirtyminutes0017","2020-03-06 08:30:00","2020-03-06 08:59:59",0,0,NA,NA,0,1,1,667,667,667,667,NA,667,0,519,519,1,1,1,1060,1060,1060,1060,NA,1060,0,512,512,1 "thirtyminutes0017#2020-03-06 08:30:00,2020-03-06 08:59:59","thirtyminutes0017","2020-03-06 08:30:00","2020-03-06 08:59:59",0,0,NA,NA,0,1,1,667,667,667,667,NA,667,0,519,519,1,1,1,1060,1060,1060,1060,NA,1060,0,512,512,1
"thirtyminutes0017#2020-03-07 08:30:00,2020-03-07 08:59:59","thirtyminutes0017","2020-03-07 08:30:00","2020-03-07 08:59:59",0,0,NA,NA,0,1,1,667,667,667,667,NA,667,0,519,519,1,1,1,179.999,179.999,179.999,179.999,NA,179.999,0,512,512,1 "thirtyminutes0017#2020-03-07 08:30:00,2020-03-07 08:59:59","thirtyminutes0017","2020-03-07 08:30:00","2020-03-07 08:59:59",0,0,NA,NA,0,1,1,667,667,667,667,NA,667,0,519,519,1,1,1,179.999,179.999,179.999,179.999,NA,179.999,0,512,512,1
"thirtyminutes0017#2020-03-08 08:30:00,2020-03-08 08:59:59","thirtyminutes0017","2020-03-08 08:30:00","2020-03-08 08:59:59",1,1,528,528,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0017#2020-03-08 08:30:00,2020-03-08 08:59:59","thirtyminutes0017","2020-03-08 08:30:00","2020-03-08 08:59:59",1,1,528,528,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0017#2020-10-30 08:30:00,2020-10-30 08:59:59","thirtyminutes0017","2020-10-30 08:30:00","2020-10-30 08:59:59",0,0,NA,NA,0,1,1,667,667,667,667,NA,667,0,519,519,1,1,1,1060,1060,1060,1060,NA,1060,0,512,512,1 "thirtyminutes0017#2020-10-30 08:30:00,2020-10-30 08:59:59","thirtyminutes0017","2020-10-30 08:30:00","2020-10-30 08:59:59",0,0,NA,NA,0,1,1,667,667,667,667,NA,667,0,519,519,1,1,1,1060,1060,1060,1060,NA,1060,0,512,512,1
"thirtyminutes0017#2020-10-31 08:30:00,2020-10-31 08:59:59","thirtyminutes0017","2020-10-31 08:30:00","2020-10-31 08:59:59",0,0,NA,NA,0,1,1,667,667,667,667,NA,667,0,519,519,1,1,1,179.999,179.999,179.999,179.999,NA,179.999,0,512,512,1 "thirtyminutes0017#2020-10-31 08:30:00,2020-10-31 08:59:59","thirtyminutes0017","2020-10-31 08:30:00","2020-10-31 08:59:59",0,0,NA,NA,0,1,1,667,667,667,667,NA,667,0,519,519,1,1,1,179.999,179.999,179.999,179.999,NA,179.999,0,512,512,1
"thirtyminutes0017#2020-11-01 08:30:00,2020-11-01 08:59:59","thirtyminutes0017","2020-11-01 08:30:00","2020-11-01 08:59:59",1,1,528,528,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0017#2020-11-01 08:30:00,2020-11-01 08:59:59","thirtyminutes0017","2020-11-01 08:30:00","2020-11-01 08:59:59",1,1,528,528,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0018#2020-03-09 09:00:00,2020-03-09 09:29:59","thirtyminutes0018","2020-03-09 09:00:00","2020-03-09 09:29:59",1,1,541,541,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,709.999,709.999,709.999,709.999,NA,709.999,0,558,558,1 "thirtyminutes0018#2020-03-09 09:00:00,2020-03-09 09:29:59","thirtyminutes0018","2020-03-09 09:00:00","2020-03-09 09:29:59",1,1,541,541,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,709.999,709.999,709.999,709.999,NA,709.999,0,558,558,1
"thirtyminutes0018#2020-11-02 09:00:00,2020-11-02 09:29:59","thirtyminutes0018","2020-11-02 09:00:00","2020-11-02 09:29:59",1,1,541,541,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,709.999,709.999,709.999,709.999,NA,709.999,0,558,558,1 "thirtyminutes0018#2020-11-02 09:00:00,2020-11-02 09:29:59","thirtyminutes0018","2020-11-02 09:00:00","2020-11-02 09:29:59",1,1,541,541,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,709.999,709.999,709.999,709.999,NA,709.999,0,558,558,1
"thirtyminutes0019#2020-03-06 09:30:00,2020-03-06 09:59:59","thirtyminutes0019","2020-03-06 09:30:00","2020-03-06 09:59:59",1,1,589,589,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0019#2020-03-06 09:30:00,2020-03-06 09:59:59","thirtyminutes0019","2020-03-06 09:30:00","2020-03-06 09:59:59",1,1,589,589,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0019#2020-03-07 09:30:00,2020-03-07 09:59:59","thirtyminutes0019","2020-03-07 09:30:00","2020-03-07 09:59:59",1,1,589,589,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0019#2020-03-07 09:30:00,2020-03-07 09:59:59","thirtyminutes0019","2020-03-07 09:30:00","2020-03-07 09:59:59",1,1,589,589,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0019#2020-03-09 09:30:00,2020-03-09 09:59:59","thirtyminutes0019","2020-03-09 09:30:00","2020-03-09 09:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,394,394,394,394,NA,394,0,570,570,1 "thirtyminutes0019#2020-03-09 09:30:00,2020-03-09 09:59:59","thirtyminutes0019","2020-03-09 09:30:00","2020-03-09 09:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,394,394,394,394,NA,394,0,570,570,1
"thirtyminutes0019#2020-10-30 09:30:00,2020-10-30 09:59:59","thirtyminutes0019","2020-10-30 09:30:00","2020-10-30 09:59:59",1,1,589,589,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0019#2020-10-30 09:30:00,2020-10-30 09:59:59","thirtyminutes0019","2020-10-30 09:30:00","2020-10-30 09:59:59",1,1,589,589,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0019#2020-10-31 09:30:00,2020-10-31 09:59:59","thirtyminutes0019","2020-10-31 09:30:00","2020-10-31 09:59:59",1,1,589,589,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0019#2020-10-31 09:30:00,2020-10-31 09:59:59","thirtyminutes0019","2020-10-31 09:30:00","2020-10-31 09:59:59",1,1,589,589,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0019#2020-11-02 09:30:00,2020-11-02 09:59:59","thirtyminutes0019","2020-11-02 09:30:00","2020-11-02 09:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,394,394,394,394,NA,394,0,570,570,1 "thirtyminutes0019#2020-11-02 09:30:00,2020-11-02 09:59:59","thirtyminutes0019","2020-11-02 09:30:00","2020-11-02 09:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,394,394,394,394,NA,394,0,570,570,1
"thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59","thirtyminutes0020","2020-03-06 10:00:00","2020-03-06 10:29:59",0,0,NA,NA,0,1,1,1299,1299,1299,1299,NA,1299,0,600,600,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59","thirtyminutes0020","2020-03-06 10:00:00","2020-03-06 10:29:59",0,0,NA,NA,0,1,1,1299,1299,1299,1299,NA,1299,0,600,600,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0020#2020-03-07 10:00:00,2020-03-07 10:29:59","thirtyminutes0020","2020-03-07 10:00:00","2020-03-07 10:29:59",0,0,NA,NA,0,1,1,1299,1299,1299,1299,NA,1299,0,600,600,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0020#2020-03-07 10:00:00,2020-03-07 10:29:59","thirtyminutes0020","2020-03-07 10:00:00","2020-03-07 10:29:59",0,0,NA,NA,0,1,1,1299,1299,1299,1299,NA,1299,0,600,600,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59","thirtyminutes0020","2020-10-30 10:00:00","2020-10-30 10:29:59",0,0,NA,NA,0,1,1,1299,1299,1299,1299,NA,1299,0,600,600,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59","thirtyminutes0020","2020-10-30 10:00:00","2020-10-30 10:29:59",0,0,NA,NA,0,1,1,1299,1299,1299,1299,NA,1299,0,600,600,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0020#2020-10-31 10:00:00,2020-10-31 10:29:59","thirtyminutes0020","2020-10-31 10:00:00","2020-10-31 10:29:59",0,0,NA,NA,0,1,1,1299,1299,1299,1299,NA,1299,0,600,600,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0020#2020-10-31 10:00:00,2020-10-31 10:29:59","thirtyminutes0020","2020-10-31 10:00:00","2020-10-31 10:29:59",0,0,NA,NA,0,1,1,1299,1299,1299,1299,NA,1299,0,600,600,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0022#2020-03-06 11:00:00,2020-03-06 11:29:59","thirtyminutes0022","2020-03-06 11:00:00","2020-03-06 11:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,1 "thirtyminutes0022#2020-03-06 11:00:00,2020-03-06 11:29:59","thirtyminutes0022","2020-03-06 11:00:00","2020-03-06 11:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,1
"thirtyminutes0022#2020-03-07 11:00:00,2020-03-07 11:29:59","thirtyminutes0022","2020-03-07 11:00:00","2020-03-07 11:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,1 "thirtyminutes0022#2020-03-07 11:00:00,2020-03-07 11:29:59","thirtyminutes0022","2020-03-07 11:00:00","2020-03-07 11:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,1
"thirtyminutes0022#2020-10-30 11:00:00,2020-10-30 11:29:59","thirtyminutes0022","2020-10-30 11:00:00","2020-10-30 11:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,1 "thirtyminutes0022#2020-10-30 11:00:00,2020-10-30 11:29:59","thirtyminutes0022","2020-10-30 11:00:00","2020-10-30 11:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,1
"thirtyminutes0022#2020-10-31 11:00:00,2020-10-31 11:29:59","thirtyminutes0022","2020-10-31 11:00:00","2020-10-31 11:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,1 "thirtyminutes0022#2020-10-31 11:00:00,2020-10-31 11:29:59","thirtyminutes0022","2020-10-31 11:00:00","2020-10-31 11:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,1
"thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59","thirtyminutes0023","2020-03-06 11:30:00","2020-03-06 11:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,629,629,629,629,NA,629,0,690,690,1 "thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59","thirtyminutes0023","2020-03-06 11:30:00","2020-03-06 11:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,629,629,629,629,NA,629,0,690,690,1
"thirtyminutes0023#2020-03-07 11:30:00,2020-03-07 11:59:59","thirtyminutes0023","2020-03-07 11:30:00","2020-03-07 11:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,629,629,629,629,NA,629,0,690,690,1 "thirtyminutes0023#2020-03-07 11:30:00,2020-03-07 11:59:59","thirtyminutes0023","2020-03-07 11:30:00","2020-03-07 11:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,629,629,629,629,NA,629,0,690,690,1
"thirtyminutes0023#2020-03-09 11:30:00,2020-03-09 11:59:59","thirtyminutes0023","2020-03-09 11:30:00","2020-03-09 11:59:59",0,0,NA,NA,0,1,1,623,623,623,623,NA,623,0,692,692,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0023#2020-03-09 11:30:00,2020-03-09 11:59:59","thirtyminutes0023","2020-03-09 11:30:00","2020-03-09 11:59:59",0,0,NA,NA,0,1,1,623,623,623,623,NA,623,0,692,692,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59","thirtyminutes0023","2020-10-30 11:30:00","2020-10-30 11:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,629,629,629,629,NA,629,0,690,690,1 "thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59","thirtyminutes0023","2020-10-30 11:30:00","2020-10-30 11:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,629,629,629,629,NA,629,0,690,690,1
"thirtyminutes0023#2020-10-31 11:30:00,2020-10-31 11:59:59","thirtyminutes0023","2020-10-31 11:30:00","2020-10-31 11:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,629,629,629,629,NA,629,0,690,690,1 "thirtyminutes0023#2020-10-31 11:30:00,2020-10-31 11:59:59","thirtyminutes0023","2020-10-31 11:30:00","2020-10-31 11:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,629,629,629,629,NA,629,0,690,690,1
"thirtyminutes0023#2020-11-02 11:30:00,2020-11-02 11:59:59","thirtyminutes0023","2020-11-02 11:30:00","2020-11-02 11:59:59",0,0,NA,NA,0,1,1,623,623,623,623,NA,623,0,692,692,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0023#2020-11-02 11:30:00,2020-11-02 11:59:59","thirtyminutes0023","2020-11-02 11:30:00","2020-11-02 11:59:59",0,0,NA,NA,0,1,1,623,623,623,623,NA,623,0,692,692,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59","thirtyminutes0024","2020-03-08 12:00:00","2020-03-08 12:29:59",0,0,NA,NA,0,1,1,1023,1023,1023,1023,NA,1023,0,724,724,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59","thirtyminutes0024","2020-03-08 12:00:00","2020-03-08 12:29:59",0,0,NA,NA,0,1,1,1023,1023,1023,1023,NA,1023,0,724,724,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59","thirtyminutes0024","2020-11-01 12:00:00","2020-11-01 12:29:59",0,0,NA,NA,0,1,1,1023,1023,1023,1023,NA,1023,0,724,724,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59","thirtyminutes0024","2020-11-01 12:00:00","2020-11-01 12:29:59",0,0,NA,NA,0,1,1,1023,1023,1023,1023,NA,1023,0,724,724,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0025#2020-03-06 12:30:00,2020-03-06 12:59:59","thirtyminutes0025","2020-03-06 12:30:00","2020-03-06 12:59:59",0,0,NA,NA,0,2,2,550.9995,1101.999,48.999,1053,709.935915418075,1053,0.182333206933611,753,779,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0025#2020-03-06 12:30:00,2020-03-06 12:59:59","thirtyminutes0025","2020-03-06 12:30:00","2020-03-06 12:59:59",0,0,NA,NA,0,2,2,550.9995,1101.999,48.999,1053,709.935915418075,1053,0.182333206933611,753,779,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0025#2020-03-08 12:30:00,2020-03-08 12:59:59","thirtyminutes0025","2020-03-08 12:30:00","2020-03-08 12:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,32,32,32,32,NA,32,0,769,769,1 "thirtyminutes0025#2020-03-08 12:30:00,2020-03-08 12:59:59","thirtyminutes0025","2020-03-08 12:30:00","2020-03-08 12:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,32,32,32,32,NA,32,0,769,769,1
"thirtyminutes0025#2020-10-30 12:30:00,2020-10-30 12:59:59","thirtyminutes0025","2020-10-30 12:30:00","2020-10-30 12:59:59",0,0,NA,NA,0,2,2,550.9995,1101.999,48.999,1053,709.935915418075,1053,0.182333206933611,753,779,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0025#2020-10-30 12:30:00,2020-10-30 12:59:59","thirtyminutes0025","2020-10-30 12:30:00","2020-10-30 12:59:59",0,0,NA,NA,0,2,2,550.9995,1101.999,48.999,1053,709.935915418075,1053,0.182333206933611,753,779,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0025#2020-11-01 12:30:00,2020-11-01 12:59:59","thirtyminutes0025","2020-11-01 12:30:00","2020-11-01 12:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,32,32,32,32,NA,32,0,769,769,1 "thirtyminutes0025#2020-11-01 12:30:00,2020-11-01 12:59:59","thirtyminutes0025","2020-11-01 12:30:00","2020-11-01 12:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,32,32,32,32,NA,32,0,769,769,1
"thirtyminutes0026#2020-03-06 13:00:00,2020-03-06 13:29:59","thirtyminutes0026","2020-03-06 13:00:00","2020-03-06 13:29:59",0,0,NA,NA,0,1,1,613,613,613,613,NA,613,0,780,780,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0026#2020-03-06 13:00:00,2020-03-06 13:29:59","thirtyminutes0026","2020-03-06 13:00:00","2020-03-06 13:29:59",0,0,NA,NA,0,1,1,613,613,613,613,NA,613,0,780,780,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0026#2020-10-30 13:00:00,2020-10-30 13:29:59","thirtyminutes0026","2020-10-30 13:00:00","2020-10-30 13:29:59",0,0,NA,NA,0,1,1,613,613,613,613,NA,613,0,780,780,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0026#2020-10-30 13:00:00,2020-10-30 13:29:59","thirtyminutes0026","2020-10-30 13:00:00","2020-10-30 13:29:59",0,0,NA,NA,0,1,1,613,613,613,613,NA,613,0,780,780,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0028#2020-03-06 14:00:00,2020-03-06 14:29:59","thirtyminutes0028","2020-03-06 14:00:00","2020-03-06 14:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,26.999,26.999,26.999,26.999,NA,26.999,0,869,869,1 "thirtyminutes0028#2020-03-06 14:00:00,2020-03-06 14:29:59","thirtyminutes0028","2020-03-06 14:00:00","2020-03-06 14:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,26.999,26.999,26.999,26.999,NA,26.999,0,869,869,1
"thirtyminutes0028#2020-10-30 14:00:00,2020-10-30 14:29:59","thirtyminutes0028","2020-10-30 14:00:00","2020-10-30 14:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,26.999,26.999,26.999,26.999,NA,26.999,0,869,869,1 "thirtyminutes0028#2020-10-30 14:00:00,2020-10-30 14:29:59","thirtyminutes0028","2020-10-30 14:00:00","2020-10-30 14:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,26.999,26.999,26.999,26.999,NA,26.999,0,869,869,1
"thirtyminutes0029#2020-03-06 14:30:00,2020-03-06 14:59:59","thirtyminutes0029","2020-03-06 14:30:00","2020-03-06 14:59:59",1,1,874,874,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,1262,1262,1262,1262,NA,1262,0,870,870,1 "thirtyminutes0029#2020-03-06 14:30:00,2020-03-06 14:59:59","thirtyminutes0029","2020-03-06 14:30:00","2020-03-06 14:59:59",1,1,874,874,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,1262,1262,1262,1262,NA,1262,0,870,870,1
"thirtyminutes0029#2020-10-30 14:30:00,2020-10-30 14:59:59","thirtyminutes0029","2020-10-30 14:30:00","2020-10-30 14:59:59",1,1,874,874,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,1262,1262,1262,1262,NA,1262,0,870,870,1 "thirtyminutes0029#2020-10-30 14:30:00,2020-10-30 14:59:59","thirtyminutes0029","2020-10-30 14:30:00","2020-10-30 14:59:59",1,1,874,874,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,1262,1262,1262,1262,NA,1262,0,870,870,1
"thirtyminutes0030#2020-03-06 15:00:00,2020-03-06 15:29:59","thirtyminutes0030","2020-03-06 15:00:00","2020-03-06 15:29:59",0,0,NA,NA,0,1,1,213,213,213,213,NA,213,0,921,921,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0030#2020-03-06 15:00:00,2020-03-06 15:29:59","thirtyminutes0030","2020-03-06 15:00:00","2020-03-06 15:29:59",0,0,NA,NA,0,1,1,213,213,213,213,NA,213,0,921,921,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0030#2020-10-30 15:00:00,2020-10-30 15:29:59","thirtyminutes0030","2020-10-30 15:00:00","2020-10-30 15:29:59",0,0,NA,NA,0,1,1,213,213,213,213,NA,213,0,921,921,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0030#2020-10-30 15:00:00,2020-10-30 15:29:59","thirtyminutes0030","2020-10-30 15:00:00","2020-10-30 15:29:59",0,0,NA,NA,0,1,1,213,213,213,213,NA,213,0,921,921,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0032#2020-03-07 16:00:00,2020-03-07 16:29:59","thirtyminutes0032","2020-03-07 16:00:00","2020-03-07 16:29:59",1,1,987,987,1,1,1,557,557,557,557,NA,557,0,964,964,1,1,1,801.999,801.999,801.999,801.999,NA,801.999,0,976,976,1 "thirtyminutes0032#2020-03-07 16:00:00,2020-03-07 16:29:59","thirtyminutes0032","2020-03-07 16:00:00","2020-03-07 16:29:59",1,1,987,987,1,1,1,557,557,557,557,NA,557,0,964,964,1,1,1,801.999,801.999,801.999,801.999,NA,801.999,0,976,976,1
"thirtyminutes0032#2020-10-31 16:00:00,2020-10-31 16:29:59","thirtyminutes0032","2020-10-31 16:00:00","2020-10-31 16:29:59",1,1,987,987,1,1,1,557,557,557,557,NA,557,0,964,964,1,1,1,801.999,801.999,801.999,801.999,NA,801.999,0,976,976,1 "thirtyminutes0032#2020-10-31 16:00:00,2020-10-31 16:29:59","thirtyminutes0032","2020-10-31 16:00:00","2020-10-31 16:29:59",1,1,987,987,1,1,1,557,557,557,557,NA,557,0,964,964,1,1,1,801.999,801.999,801.999,801.999,NA,801.999,0,976,976,1
"thirtyminutes0033#2020-03-07 16:30:00,2020-03-07 16:59:59","thirtyminutes0033","2020-03-07 16:30:00","2020-03-07 16:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,619,619,619,619,NA,619,0,990,990,1 "thirtyminutes0033#2020-03-07 16:30:00,2020-03-07 16:59:59","thirtyminutes0033","2020-03-07 16:30:00","2020-03-07 16:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,619,619,619,619,NA,619,0,990,990,1
"thirtyminutes0033#2020-03-09 16:30:00,2020-03-09 16:59:59","thirtyminutes0033","2020-03-09 16:30:00","2020-03-09 16:59:59",1,1,1008,1008,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0033#2020-03-09 16:30:00,2020-03-09 16:59:59","thirtyminutes0033","2020-03-09 16:30:00","2020-03-09 16:59:59",1,1,1008,1008,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0033#2020-10-31 16:30:00,2020-10-31 16:59:59","thirtyminutes0033","2020-10-31 16:30:00","2020-10-31 16:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,619,619,619,619,NA,619,0,990,990,1 "thirtyminutes0033#2020-10-31 16:30:00,2020-10-31 16:59:59","thirtyminutes0033","2020-10-31 16:30:00","2020-10-31 16:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,619,619,619,619,NA,619,0,990,990,1
"thirtyminutes0033#2020-11-02 16:30:00,2020-11-02 16:59:59","thirtyminutes0033","2020-11-02 16:30:00","2020-11-02 16:59:59",1,1,1008,1008,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0033#2020-11-02 16:30:00,2020-11-02 16:59:59","thirtyminutes0033","2020-11-02 16:30:00","2020-11-02 16:59:59",1,1,1008,1008,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0034#2020-03-07 17:00:00,2020-03-07 17:29:59","thirtyminutes0034","2020-03-07 17:00:00","2020-03-07 17:29:59",0,0,NA,NA,0,1,1,940.999,940.999,940.999,940.999,NA,940.999,0,1034,1034,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0034#2020-03-07 17:00:00,2020-03-07 17:29:59","thirtyminutes0034","2020-03-07 17:00:00","2020-03-07 17:29:59",0,0,NA,NA,0,1,1,940.999,940.999,940.999,940.999,NA,940.999,0,1034,1034,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0034#2020-10-31 17:00:00,2020-10-31 17:29:59","thirtyminutes0034","2020-10-31 17:00:00","2020-10-31 17:29:59",0,0,NA,NA,0,1,1,940.999,940.999,940.999,940.999,NA,940.999,0,1034,1034,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0034#2020-10-31 17:00:00,2020-10-31 17:29:59","thirtyminutes0034","2020-10-31 17:00:00","2020-10-31 17:29:59",0,0,NA,NA,0,1,1,940.999,940.999,940.999,940.999,NA,940.999,0,1034,1034,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59","thirtyminutes0035","2020-03-06 17:30:00","2020-03-06 17:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,1186,1186,1186,1186,NA,1186,0,1051,1051,1 "thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59","thirtyminutes0035","2020-03-06 17:30:00","2020-03-06 17:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,1186,1186,1186,1186,NA,1186,0,1051,1051,1
"thirtyminutes0035#2020-03-07 17:30:00,2020-03-07 17:59:59","thirtyminutes0035","2020-03-07 17:30:00","2020-03-07 17:59:59",0,0,NA,NA,0,1,1,778,778,778,778,NA,778,0,1050,1050,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0035#2020-03-07 17:30:00,2020-03-07 17:59:59","thirtyminutes0035","2020-03-07 17:30:00","2020-03-07 17:59:59",0,0,NA,NA,0,1,1,778,778,778,778,NA,778,0,1050,1050,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0035#2020-03-09 17:30:00,2020-03-09 17:59:59","thirtyminutes0035","2020-03-09 17:30:00","2020-03-09 17:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,32,32,32,32,NA,32,0,1075,1075,0 "thirtyminutes0035#2020-03-09 17:30:00,2020-03-09 17:59:59","thirtyminutes0035","2020-03-09 17:30:00","2020-03-09 17:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,32,32,32,32,NA,32,0,1075,1075,0
"thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59","thirtyminutes0035","2020-10-30 17:30:00","2020-10-30 17:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,1186,1186,1186,1186,NA,1186,0,1051,1051,1 "thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59","thirtyminutes0035","2020-10-30 17:30:00","2020-10-30 17:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,1186,1186,1186,1186,NA,1186,0,1051,1051,1
"thirtyminutes0035#2020-10-31 17:30:00,2020-10-31 17:59:59","thirtyminutes0035","2020-10-31 17:30:00","2020-10-31 17:59:59",0,0,NA,NA,0,1,1,778,778,778,778,NA,778,0,1050,1050,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0035#2020-10-31 17:30:00,2020-10-31 17:59:59","thirtyminutes0035","2020-10-31 17:30:00","2020-10-31 17:59:59",0,0,NA,NA,0,1,1,778,778,778,778,NA,778,0,1050,1050,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0035#2020-11-02 17:30:00,2020-11-02 17:59:59","thirtyminutes0035","2020-11-02 17:30:00","2020-11-02 17:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,32,32,32,32,NA,32,0,1075,1075,0 "thirtyminutes0035#2020-11-02 17:30:00,2020-11-02 17:59:59","thirtyminutes0035","2020-11-02 17:30:00","2020-11-02 17:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,32,32,32,32,NA,32,0,1075,1075,0
"thirtyminutes0036#2020-03-07 18:00:00,2020-03-07 18:29:59","thirtyminutes0036","2020-03-07 18:00:00","2020-03-07 18:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1097,1097,1 "thirtyminutes0036#2020-03-07 18:00:00,2020-03-07 18:29:59","thirtyminutes0036","2020-03-07 18:00:00","2020-03-07 18:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1097,1097,1
"thirtyminutes0036#2020-03-08 18:00:00,2020-03-08 18:29:59","thirtyminutes0036","2020-03-08 18:00:00","2020-03-08 18:29:59",1,1,1101,1101,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0036#2020-03-08 18:00:00,2020-03-08 18:29:59","thirtyminutes0036","2020-03-08 18:00:00","2020-03-08 18:29:59",1,1,1101,1101,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0036#2020-10-31 18:00:00,2020-10-31 18:29:59","thirtyminutes0036","2020-10-31 18:00:00","2020-10-31 18:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1097,1097,1 "thirtyminutes0036#2020-10-31 18:00:00,2020-10-31 18:29:59","thirtyminutes0036","2020-10-31 18:00:00","2020-10-31 18:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1097,1097,1
"thirtyminutes0036#2020-11-01 18:00:00,2020-11-01 18:29:59","thirtyminutes0036","2020-11-01 18:00:00","2020-11-01 18:29:59",1,1,1101,1101,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0036#2020-11-01 18:00:00,2020-11-01 18:29:59","thirtyminutes0036","2020-11-01 18:00:00","2020-11-01 18:29:59",1,1,1101,1101,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0037#2020-03-07 18:30:00,2020-03-07 18:59:59","thirtyminutes0037","2020-03-07 18:30:00","2020-03-07 18:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,780,780,780,780,NA,780,0,1110,1110,1 "thirtyminutes0037#2020-03-07 18:30:00,2020-03-07 18:59:59","thirtyminutes0037","2020-03-07 18:30:00","2020-03-07 18:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,780,780,780,780,NA,780,0,1110,1110,1
"thirtyminutes0037#2020-10-31 18:30:00,2020-10-31 18:59:59","thirtyminutes0037","2020-10-31 18:30:00","2020-10-31 18:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,780,780,780,780,NA,780,0,1110,1110,1 "thirtyminutes0037#2020-10-31 18:30:00,2020-10-31 18:59:59","thirtyminutes0037","2020-10-31 18:30:00","2020-10-31 18:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,780,780,780,780,NA,780,0,1110,1110,1
"thirtyminutes0038#2020-03-06 19:00:00,2020-03-06 19:29:59","thirtyminutes0038","2020-03-06 19:00:00","2020-03-06 19:29:59",1,1,1167,1167,1,1,1,1157,1157,1157,1157,NA,1157,0,1144,1144,1,1,1,801.999,801.999,801.999,801.999,NA,801.999,0,1156,1156,1 "thirtyminutes0038#2020-03-06 19:00:00,2020-03-06 19:29:59","thirtyminutes0038","2020-03-06 19:00:00","2020-03-06 19:29:59",1,1,1167,1167,1,1,1,1157,1157,1157,1157,NA,1157,0,1144,1144,1,1,1,801.999,801.999,801.999,801.999,NA,801.999,0,1156,1156,1
"thirtyminutes0038#2020-03-07 19:00:00,2020-03-07 19:29:59","thirtyminutes0038","2020-03-07 19:00:00","2020-03-07 19:29:59",0,0,NA,NA,0,1,1,1093.999,1093.999,1093.999,1093.999,NA,1093.999,0,1151,1151,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0038#2020-03-07 19:00:00,2020-03-07 19:29:59","thirtyminutes0038","2020-03-07 19:00:00","2020-03-07 19:29:59",0,0,NA,NA,0,1,1,1093.999,1093.999,1093.999,1093.999,NA,1093.999,0,1151,1151,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0038#2020-03-09 19:00:00,2020-03-09 19:29:59","thirtyminutes0038","2020-03-09 19:00:00","2020-03-09 19:29:59",0,0,NA,NA,0,1,1,229.999,229.999,229.999,229.999,NA,229.999,0,1166,1166,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0038#2020-03-09 19:00:00,2020-03-09 19:29:59","thirtyminutes0038","2020-03-09 19:00:00","2020-03-09 19:29:59",0,0,NA,NA,0,1,1,229.999,229.999,229.999,229.999,NA,229.999,0,1166,1166,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0038#2020-10-30 19:00:00,2020-10-30 19:29:59","thirtyminutes0038","2020-10-30 19:00:00","2020-10-30 19:29:59",1,1,1167,1167,1,1,1,1157,1157,1157,1157,NA,1157,0,1144,1144,1,1,1,801.999,801.999,801.999,801.999,NA,801.999,0,1156,1156,1 "thirtyminutes0038#2020-10-30 19:00:00,2020-10-30 19:29:59","thirtyminutes0038","2020-10-30 19:00:00","2020-10-30 19:29:59",1,1,1167,1167,1,1,1,1157,1157,1157,1157,NA,1157,0,1144,1144,1,1,1,801.999,801.999,801.999,801.999,NA,801.999,0,1156,1156,1
"thirtyminutes0038#2020-10-31 19:00:00,2020-10-31 19:29:59","thirtyminutes0038","2020-10-31 19:00:00","2020-10-31 19:29:59",0,0,NA,NA,0,1,1,1093.999,1093.999,1093.999,1093.999,NA,1093.999,0,1151,1151,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0038#2020-10-31 19:00:00,2020-10-31 19:29:59","thirtyminutes0038","2020-10-31 19:00:00","2020-10-31 19:29:59",0,0,NA,NA,0,1,1,1093.999,1093.999,1093.999,1093.999,NA,1093.999,0,1151,1151,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0038#2020-11-02 19:00:00,2020-11-02 19:29:59","thirtyminutes0038","2020-11-02 19:00:00","2020-11-02 19:29:59",0,0,NA,NA,0,1,1,229.999,229.999,229.999,229.999,NA,229.999,0,1166,1166,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0038#2020-11-02 19:00:00,2020-11-02 19:29:59","thirtyminutes0038","2020-11-02 19:00:00","2020-11-02 19:29:59",0,0,NA,NA,0,1,1,229.999,229.999,229.999,229.999,NA,229.999,0,1166,1166,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0039#2020-03-06 19:30:00,2020-03-06 19:59:59","thirtyminutes0039","2020-03-06 19:30:00","2020-03-06 19:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,619,619,619,619,NA,619,0,1170,1170,1 "thirtyminutes0039#2020-03-06 19:30:00,2020-03-06 19:59:59","thirtyminutes0039","2020-03-06 19:30:00","2020-03-06 19:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,619,619,619,619,NA,619,0,1170,1170,1
"thirtyminutes0039#2020-03-07 19:30:00,2020-03-07 19:59:59","thirtyminutes0039","2020-03-07 19:30:00","2020-03-07 19:59:59",0,0,NA,NA,0,1,1,130,130,130,130,NA,130,0,1170,1170,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0039#2020-03-07 19:30:00,2020-03-07 19:59:59","thirtyminutes0039","2020-03-07 19:30:00","2020-03-07 19:59:59",0,0,NA,NA,0,1,1,130,130,130,130,NA,130,0,1170,1170,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0039#2020-03-08 19:30:00,2020-03-08 19:59:59","thirtyminutes0039","2020-03-08 19:30:00","2020-03-08 19:59:59",0,0,NA,NA,0,1,1,128,128,128,128,NA,128,0,1177,1177,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0039#2020-03-08 19:30:00,2020-03-08 19:59:59","thirtyminutes0039","2020-03-08 19:30:00","2020-03-08 19:59:59",0,0,NA,NA,0,1,1,128,128,128,128,NA,128,0,1177,1177,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0039#2020-03-09 19:30:00,2020-03-09 19:59:59","thirtyminutes0039","2020-03-09 19:30:00","2020-03-09 19:59:59",0,0,NA,NA,0,1,1,262,262,262,262,NA,262,0,1170,1170,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0039#2020-03-09 19:30:00,2020-03-09 19:59:59","thirtyminutes0039","2020-03-09 19:30:00","2020-03-09 19:59:59",0,0,NA,NA,0,1,1,262,262,262,262,NA,262,0,1170,1170,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0039#2020-10-30 19:30:00,2020-10-30 19:59:59","thirtyminutes0039","2020-10-30 19:30:00","2020-10-30 19:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,619,619,619,619,NA,619,0,1170,1170,1 "thirtyminutes0039#2020-10-30 19:30:00,2020-10-30 19:59:59","thirtyminutes0039","2020-10-30 19:30:00","2020-10-30 19:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,619,619,619,619,NA,619,0,1170,1170,1
"thirtyminutes0039#2020-10-31 19:30:00,2020-10-31 19:59:59","thirtyminutes0039","2020-10-31 19:30:00","2020-10-31 19:59:59",0,0,NA,NA,0,1,1,130,130,130,130,NA,130,0,1170,1170,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0039#2020-10-31 19:30:00,2020-10-31 19:59:59","thirtyminutes0039","2020-10-31 19:30:00","2020-10-31 19:59:59",0,0,NA,NA,0,1,1,130,130,130,130,NA,130,0,1170,1170,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0039#2020-11-01 19:30:00,2020-11-01 19:59:59","thirtyminutes0039","2020-11-01 19:30:00","2020-11-01 19:59:59",0,0,NA,NA,0,1,1,128,128,128,128,NA,128,0,1177,1177,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0039#2020-11-01 19:30:00,2020-11-01 19:59:59","thirtyminutes0039","2020-11-01 19:30:00","2020-11-01 19:59:59",0,0,NA,NA,0,1,1,128,128,128,128,NA,128,0,1177,1177,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0039#2020-11-02 19:30:00,2020-11-02 19:59:59","thirtyminutes0039","2020-11-02 19:30:00","2020-11-02 19:59:59",0,0,NA,NA,0,1,1,262,262,262,262,NA,262,0,1170,1170,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0039#2020-11-02 19:30:00,2020-11-02 19:59:59","thirtyminutes0039","2020-11-02 19:30:00","2020-11-02 19:59:59",0,0,NA,NA,0,1,1,262,262,262,262,NA,262,0,1170,1170,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0040#2020-03-06 20:00:00,2020-03-06 20:29:59","thirtyminutes0040","2020-03-06 20:00:00","2020-03-06 20:29:59",0,0,NA,NA,0,1,1,940.999,940.999,940.999,940.999,NA,940.999,0,1214,1214,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0040#2020-03-06 20:00:00,2020-03-06 20:29:59","thirtyminutes0040","2020-03-06 20:00:00","2020-03-06 20:29:59",0,0,NA,NA,0,1,1,940.999,940.999,940.999,940.999,NA,940.999,0,1214,1214,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0040#2020-10-30 20:00:00,2020-10-30 20:29:59","thirtyminutes0040","2020-10-30 20:00:00","2020-10-30 20:29:59",0,0,NA,NA,0,1,1,940.999,940.999,940.999,940.999,NA,940.999,0,1214,1214,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0040#2020-10-30 20:00:00,2020-10-30 20:29:59","thirtyminutes0040","2020-10-30 20:00:00","2020-10-30 20:29:59",0,0,NA,NA,0,1,1,940.999,940.999,940.999,940.999,NA,940.999,0,1214,1214,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0041#2020-03-06 20:30:00,2020-03-06 20:59:59","thirtyminutes0041","2020-03-06 20:30:00","2020-03-06 20:59:59",0,0,NA,NA,0,1,1,778,778,778,778,NA,778,0,1230,1230,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0041#2020-03-06 20:30:00,2020-03-06 20:59:59","thirtyminutes0041","2020-03-06 20:30:00","2020-03-06 20:59:59",0,0,NA,NA,0,1,1,778,778,778,778,NA,778,0,1230,1230,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0041#2020-10-30 20:30:00,2020-10-30 20:59:59","thirtyminutes0041","2020-10-30 20:30:00","2020-10-30 20:59:59",0,0,NA,NA,0,1,1,778,778,778,778,NA,778,0,1230,1230,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0041#2020-10-30 20:30:00,2020-10-30 20:59:59","thirtyminutes0041","2020-10-30 20:30:00","2020-10-30 20:59:59",0,0,NA,NA,0,1,1,778,778,778,778,NA,778,0,1230,1230,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0042#2020-03-06 21:00:00,2020-03-06 21:29:59","thirtyminutes0042","2020-03-06 21:00:00","2020-03-06 21:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1277,1277,1 "thirtyminutes0042#2020-03-06 21:00:00,2020-03-06 21:29:59","thirtyminutes0042","2020-03-06 21:00:00","2020-03-06 21:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1277,1277,1
"thirtyminutes0042#2020-03-07 21:00:00,2020-03-07 21:29:59","thirtyminutes0042","2020-03-07 21:00:00","2020-03-07 21:29:59",1,1,1283,1283,1,1,1,315,315,315,315,NA,315,0,1275,1275,1,1,1,232,232,232,232,NA,232,0,1282,1282,0 "thirtyminutes0042#2020-03-07 21:00:00,2020-03-07 21:29:59","thirtyminutes0042","2020-03-07 21:00:00","2020-03-07 21:29:59",1,1,1283,1283,1,1,1,315,315,315,315,NA,315,0,1275,1275,1,1,1,232,232,232,232,NA,232,0,1282,1282,0
"thirtyminutes0042#2020-03-08 21:00:00,2020-03-08 21:29:59","thirtyminutes0042","2020-03-08 21:00:00","2020-03-08 21:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,469.999,469.999,469.999,469.999,NA,469.999,0,1282,1282,0 "thirtyminutes0042#2020-03-08 21:00:00,2020-03-08 21:29:59","thirtyminutes0042","2020-03-08 21:00:00","2020-03-08 21:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,469.999,469.999,469.999,469.999,NA,469.999,0,1282,1282,0
"thirtyminutes0042#2020-10-30 21:00:00,2020-10-30 21:29:59","thirtyminutes0042","2020-10-30 21:00:00","2020-10-30 21:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1277,1277,1 "thirtyminutes0042#2020-10-30 21:00:00,2020-10-30 21:29:59","thirtyminutes0042","2020-10-30 21:00:00","2020-10-30 21:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1277,1277,1
"thirtyminutes0042#2020-10-31 21:00:00,2020-10-31 21:29:59","thirtyminutes0042","2020-10-31 21:00:00","2020-10-31 21:29:59",1,1,1283,1283,1,1,1,315,315,315,315,NA,315,0,1275,1275,1,1,1,232,232,232,232,NA,232,0,1282,1282,0 "thirtyminutes0042#2020-10-31 21:00:00,2020-10-31 21:29:59","thirtyminutes0042","2020-10-31 21:00:00","2020-10-31 21:29:59",1,1,1283,1283,1,1,1,315,315,315,315,NA,315,0,1275,1275,1,1,1,232,232,232,232,NA,232,0,1282,1282,0
"thirtyminutes0042#2020-11-01 21:00:00,2020-11-01 21:29:59","thirtyminutes0042","2020-11-01 21:00:00","2020-11-01 21:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,469.999,469.999,469.999,469.999,NA,469.999,0,1282,1282,0 "thirtyminutes0042#2020-11-01 21:00:00,2020-11-01 21:29:59","thirtyminutes0042","2020-11-01 21:00:00","2020-11-01 21:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,469.999,469.999,469.999,469.999,NA,469.999,0,1282,1282,0
"thirtyminutes0043#2020-03-06 21:30:00,2020-03-06 21:59:59","thirtyminutes0043","2020-03-06 21:30:00","2020-03-06 21:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,780,780,780,780,NA,780,0,1290,1290,1 "thirtyminutes0043#2020-03-06 21:30:00,2020-03-06 21:59:59","thirtyminutes0043","2020-03-06 21:30:00","2020-03-06 21:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,780,780,780,780,NA,780,0,1290,1290,1
"thirtyminutes0043#2020-03-08 21:30:00,2020-03-08 21:59:59","thirtyminutes0043","2020-03-08 21:30:00","2020-03-08 21:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,102,102,102,102,NA,102,0,1290,1290,0 "thirtyminutes0043#2020-03-08 21:30:00,2020-03-08 21:59:59","thirtyminutes0043","2020-03-08 21:30:00","2020-03-08 21:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,102,102,102,102,NA,102,0,1290,1290,0
"thirtyminutes0043#2020-10-30 21:30:00,2020-10-30 21:59:59","thirtyminutes0043","2020-10-30 21:30:00","2020-10-30 21:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,780,780,780,780,NA,780,0,1290,1290,1 "thirtyminutes0043#2020-10-30 21:30:00,2020-10-30 21:59:59","thirtyminutes0043","2020-10-30 21:30:00","2020-10-30 21:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,780,780,780,780,NA,780,0,1290,1290,1
"thirtyminutes0043#2020-11-01 21:30:00,2020-11-01 21:59:59","thirtyminutes0043","2020-11-01 21:30:00","2020-11-01 21:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,102,102,102,102,NA,102,0,1290,1290,0 "thirtyminutes0043#2020-11-01 21:30:00,2020-11-01 21:59:59","thirtyminutes0043","2020-11-01 21:30:00","2020-11-01 21:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,102,102,102,102,NA,102,0,1290,1290,0
"thirtyminutes0044#2020-03-06 22:00:00,2020-03-06 22:29:59","thirtyminutes0044","2020-03-06 22:00:00","2020-03-06 22:29:59",0,0,NA,NA,0,1,1,1093.999,1093.999,1093.999,1093.999,NA,1093.999,0,1331,1331,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0044#2020-03-06 22:00:00,2020-03-06 22:29:59","thirtyminutes0044","2020-03-06 22:00:00","2020-03-06 22:29:59",0,0,NA,NA,0,1,1,1093.999,1093.999,1093.999,1093.999,NA,1093.999,0,1331,1331,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0044#2020-10-30 22:00:00,2020-10-30 22:29:59","thirtyminutes0044","2020-10-30 22:00:00","2020-10-30 22:29:59",0,0,NA,NA,0,1,1,1093.999,1093.999,1093.999,1093.999,NA,1093.999,0,1331,1331,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0044#2020-10-30 22:00:00,2020-10-30 22:29:59","thirtyminutes0044","2020-10-30 22:00:00","2020-10-30 22:29:59",0,0,NA,NA,0,1,1,1093.999,1093.999,1093.999,1093.999,NA,1093.999,0,1331,1331,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0045#2020-03-06 22:30:00,2020-03-06 22:59:59","thirtyminutes0045","2020-03-06 22:30:00","2020-03-06 22:59:59",0,0,NA,NA,0,1,1,130,130,130,130,NA,130,0,1350,1350,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0045#2020-03-06 22:30:00,2020-03-06 22:59:59","thirtyminutes0045","2020-03-06 22:30:00","2020-03-06 22:59:59",0,0,NA,NA,0,1,1,130,130,130,130,NA,130,0,1350,1350,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0045#2020-10-30 22:30:00,2020-10-30 22:59:59","thirtyminutes0045","2020-10-30 22:30:00","2020-10-30 22:59:59",0,0,NA,NA,0,1,1,130,130,130,130,NA,130,0,1350,1350,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0045#2020-10-30 22:30:00,2020-10-30 22:59:59","thirtyminutes0045","2020-10-30 22:30:00","2020-10-30 22:59:59",0,0,NA,NA,0,1,1,130,130,130,130,NA,130,0,1350,1350,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_calls_rapids_missed_count phone_calls_rapids_missed_distinctcontacts phone_calls_rapids_missed_timefirstcall phone_calls_rapids_missed_timelastcall phone_calls_rapids_missed_countmostfrequentcontact phone_calls_rapids_incoming_count phone_calls_rapids_incoming_distinctcontacts phone_calls_rapids_incoming_meanduration phone_calls_rapids_incoming_sumduration phone_calls_rapids_incoming_minduration phone_calls_rapids_incoming_maxduration phone_calls_rapids_incoming_stdduration phone_calls_rapids_incoming_modeduration phone_calls_rapids_incoming_entropyduration phone_calls_rapids_incoming_timefirstcall phone_calls_rapids_incoming_timelastcall phone_calls_rapids_incoming_countmostfrequentcontact phone_calls_rapids_outgoing_count phone_calls_rapids_outgoing_distinctcontacts phone_calls_rapids_outgoing_meanduration phone_calls_rapids_outgoing_sumduration phone_calls_rapids_outgoing_minduration phone_calls_rapids_outgoing_maxduration phone_calls_rapids_outgoing_stdduration phone_calls_rapids_outgoing_modeduration phone_calls_rapids_outgoing_entropyduration phone_calls_rapids_outgoing_timefirstcall phone_calls_rapids_outgoing_timelastcall phone_calls_rapids_outgoing_countmostfrequentcontact
2 thirtyminutes0000#2020-03-06 00:00:00,2020-03-06 00:29:59 thirtyminutes0000 2020-03-06 00:00:00 2020-03-06 00:29:59 1 1 13 13 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
3 thirtyminutes0000#2020-10-30 00:00:00,2020-10-30 00:29:59 thirtyminutes0000 2020-10-30 00:00:00 2020-10-30 00:29:59 1 1 13 13 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
4 thirtyminutes0001#2020-03-06 00:30:00,2020-03-06 00:59:59 thirtyminutes0001 2020-03-06 00:30:00 2020-03-06 00:59:59 1 1 57 57 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
5 thirtyminutes0001#2020-10-30 00:30:00,2020-10-30 00:59:59 thirtyminutes0001 2020-10-30 00:30:00 2020-10-30 00:59:59 1 1 57 57 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
6 thirtyminutes0005#2020-03-06 02:30:00,2020-03-06 02:59:59 thirtyminutes0005 2020-03-06 02:30:00 2020-03-06 02:59:59 0 0 NA NA 0 1 1 439 439 439 439 NA 439 0 163 163 1 1 1 462.999 462.999 462.999 462.999 NA 462.999 0 172 172 1
7 thirtyminutes0005#2020-10-30 02:30:00,2020-10-30 02:59:59 thirtyminutes0005 2020-10-30 02:30:00 2020-10-30 02:59:59 0 0 NA NA 0 1 1 439 439 439 439 NA 439 0 163 163 1 1 1 462.999 462.999 462.999 462.999 NA 462.999 0 172 172 1
8 thirtyminutes0006#2020-03-06 03:00:00,2020-03-06 03:29:59 thirtyminutes0006 2020-03-06 03:00:00 2020-03-06 03:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 507 507 507 507 NA 507 0 180 180 1
9 thirtyminutes0006#2020-03-09 03:00:00,2020-03-09 03:29:59 thirtyminutes0006 2020-03-09 03:00:00 2020-03-09 03:29:59 1 1 198 198 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
10 thirtyminutes0006#2020-10-30 03:00:00,2020-10-30 03:29:59 thirtyminutes0006 2020-10-30 03:00:00 2020-10-30 03:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 507 507 507 507 NA 507 0 180 180 1
11 thirtyminutes0006#2020-11-02 03:00:00,2020-11-02 03:29:59 thirtyminutes0006 2020-11-02 03:00:00 2020-11-02 03:29:59 1 1 198 198 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
12 thirtyminutes0007#2020-03-08 03:30:00,2020-03-08 03:59:59 thirtyminutes0007 2020-03-08 03:30:00 2020-03-08 03:59:59 0 0 NA NA 0 1 1 159.999 159.999 159.999 159.999 NA 159.999 0 237 237 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
13 thirtyminutes0007#2020-11-01 03:30:00,2020-11-01 03:59:59 thirtyminutes0007 2020-11-01 03:30:00 2020-11-01 03:59:59 0 0 NA NA 0 1 1 159.999 159.999 159.999 159.999 NA 159.999 0 237 237 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
14 thirtyminutes0008#2020-03-06 04:00:00,2020-03-06 04:29:59 thirtyminutes0008 2020-03-06 04:00:00 2020-03-06 04:29:59 1 1 257 257 1 1 1 737.999 737.999 737.999 737.999 NA 737.999 0 257 257 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
15 thirtyminutes0008#2020-03-08 04:00:00,2020-03-08 04:29:59 thirtyminutes0008 2020-03-08 04:00:00 2020-03-08 04:29:59 0 0 NA NA 0 1 1 815 815 815 815 NA 815 0 240 240 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
16 thirtyminutes0008#2020-03-09 04:00:00,2020-03-09 04:29:59 thirtyminutes0008 2020-03-09 04:00:00 2020-03-09 04:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 109.999 109.999 109.999 109.999 NA 109.999 0 268 268 1
17 thirtyminutes0008#2020-10-30 04:00:00,2020-10-30 04:29:59 thirtyminutes0008 2020-10-30 04:00:00 2020-10-30 04:29:59 1 1 257 257 1 1 1 737.999 737.999 737.999 737.999 NA 737.999 0 257 257 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
18 thirtyminutes0008#2020-11-01 04:00:00,2020-11-01 04:29:59 thirtyminutes0008 2020-11-01 04:00:00 2020-11-01 04:29:59 0 0 NA NA 0 1 1 815 815 815 815 NA 815 0 240 240 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
19 thirtyminutes0008#2020-11-02 04:00:00,2020-11-02 04:29:59 thirtyminutes0008 2020-11-02 04:00:00 2020-11-02 04:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 109.999 109.999 109.999 109.999 NA 109.999 0 268 268 1
20 thirtyminutes0009#2020-03-06 04:30:00,2020-03-06 04:59:59 thirtyminutes0009 2020-03-06 04:30:00 2020-03-06 04:59:59 0 0 NA NA 0 1 1 593 593 593 593 NA 593 0 270 270 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
21 thirtyminutes0009#2020-03-09 04:30:00,2020-03-09 04:59:59 thirtyminutes0009 2020-03-09 04:30:00 2020-03-09 04:59:59 0 0 NA NA 0 1 1 427 427 427 427 NA 427 0 278 278 0 1 1 25 25 25 25 NA 25 0 270 270 1
22 thirtyminutes0009#2020-10-30 04:30:00,2020-10-30 04:59:59 thirtyminutes0009 2020-10-30 04:30:00 2020-10-30 04:59:59 0 0 NA NA 0 1 1 593 593 593 593 NA 593 0 270 270 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
23 thirtyminutes0009#2020-11-02 04:30:00,2020-11-02 04:59:59 thirtyminutes0009 2020-11-02 04:30:00 2020-11-02 04:59:59 0 0 NA NA 0 1 1 427 427 427 427 NA 427 0 278 278 0 1 1 25 25 25 25 NA 25 0 270 270 1
24 thirtyminutes0013#2020-03-06 06:30:00,2020-03-06 06:59:59 thirtyminutes0013 2020-03-06 06:30:00 2020-03-06 06:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 74.999 74.999 74.999 74.999 NA 74.999 0 418 418 1
25 thirtyminutes0013#2020-03-07 06:30:00,2020-03-07 06:59:59 thirtyminutes0013 2020-03-07 06:30:00 2020-03-07 06:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 74.999 74.999 74.999 74.999 NA 74.999 0 418 418 1
26 thirtyminutes0013#2020-10-30 06:30:00,2020-10-30 06:59:59 thirtyminutes0013 2020-10-30 06:30:00 2020-10-30 06:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 74.999 74.999 74.999 74.999 NA 74.999 0 418 418 1
27 thirtyminutes0013#2020-10-31 06:30:00,2020-10-31 06:59:59 thirtyminutes0013 2020-10-31 06:30:00 2020-10-31 06:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 74.999 74.999 74.999 74.999 NA 74.999 0 418 418 1
28 thirtyminutes0014#2020-03-06 07:00:00,2020-03-06 07:29:59 thirtyminutes0014 2020-03-06 07:00:00 2020-03-06 07:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 1041 1041 1041 1041 NA 1041 0 420 420 1
29 thirtyminutes0014#2020-03-07 07:00:00,2020-03-07 07:29:59 thirtyminutes0014 2020-03-07 07:00:00 2020-03-07 07:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 1041 1041 1041 1041 NA 1041 0 420 420 1
30 thirtyminutes0014#2020-10-30 07:00:00,2020-10-30 07:29:59 thirtyminutes0014 2020-10-30 07:00:00 2020-10-30 07:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 1041 1041 1041 1041 NA 1041 0 420 420 1
31 thirtyminutes0014#2020-10-31 07:00:00,2020-10-31 07:29:59 thirtyminutes0014 2020-10-31 07:00:00 2020-10-31 07:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 1041 1041 1041 1041 NA 1041 0 420 420 1
32 thirtyminutes0017#2020-03-06 08:30:00,2020-03-06 08:59:59 thirtyminutes0017 2020-03-06 08:30:00 2020-03-06 08:59:59 0 0 NA NA 0 1 1 667 667 667 667 NA 667 0 519 519 1 1 1 1060 1060 1060 1060 NA 1060 0 512 512 1
33 thirtyminutes0017#2020-03-07 08:30:00,2020-03-07 08:59:59 thirtyminutes0017 2020-03-07 08:30:00 2020-03-07 08:59:59 0 0 NA NA 0 1 1 667 667 667 667 NA 667 0 519 519 1 1 1 179.999 179.999 179.999 179.999 NA 179.999 0 512 512 1
34 thirtyminutes0017#2020-03-08 08:30:00,2020-03-08 08:59:59 thirtyminutes0017 2020-03-08 08:30:00 2020-03-08 08:59:59 1 1 528 528 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
35 thirtyminutes0017#2020-10-30 08:30:00,2020-10-30 08:59:59 thirtyminutes0017 2020-10-30 08:30:00 2020-10-30 08:59:59 0 0 NA NA 0 1 1 667 667 667 667 NA 667 0 519 519 1 1 1 1060 1060 1060 1060 NA 1060 0 512 512 1
36 thirtyminutes0017#2020-10-31 08:30:00,2020-10-31 08:59:59 thirtyminutes0017 2020-10-31 08:30:00 2020-10-31 08:59:59 0 0 NA NA 0 1 1 667 667 667 667 NA 667 0 519 519 1 1 1 179.999 179.999 179.999 179.999 NA 179.999 0 512 512 1
37 thirtyminutes0017#2020-11-01 08:30:00,2020-11-01 08:59:59 thirtyminutes0017 2020-11-01 08:30:00 2020-11-01 08:59:59 1 1 528 528 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
38 thirtyminutes0018#2020-03-09 09:00:00,2020-03-09 09:29:59 thirtyminutes0018 2020-03-09 09:00:00 2020-03-09 09:29:59 1 1 541 541 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 709.999 709.999 709.999 709.999 NA 709.999 0 558 558 1
39 thirtyminutes0018#2020-11-02 09:00:00,2020-11-02 09:29:59 thirtyminutes0018 2020-11-02 09:00:00 2020-11-02 09:29:59 1 1 541 541 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 709.999 709.999 709.999 709.999 NA 709.999 0 558 558 1
40 thirtyminutes0019#2020-03-06 09:30:00,2020-03-06 09:59:59 thirtyminutes0019 2020-03-06 09:30:00 2020-03-06 09:59:59 1 1 589 589 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
41 thirtyminutes0019#2020-03-07 09:30:00,2020-03-07 09:59:59 thirtyminutes0019 2020-03-07 09:30:00 2020-03-07 09:59:59 1 1 589 589 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
42 thirtyminutes0019#2020-03-09 09:30:00,2020-03-09 09:59:59 thirtyminutes0019 2020-03-09 09:30:00 2020-03-09 09:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 394 394 394 394 NA 394 0 570 570 1
43 thirtyminutes0019#2020-10-30 09:30:00,2020-10-30 09:59:59 thirtyminutes0019 2020-10-30 09:30:00 2020-10-30 09:59:59 1 1 589 589 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
44 thirtyminutes0019#2020-10-31 09:30:00,2020-10-31 09:59:59 thirtyminutes0019 2020-10-31 09:30:00 2020-10-31 09:59:59 1 1 589 589 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
45 thirtyminutes0019#2020-11-02 09:30:00,2020-11-02 09:59:59 thirtyminutes0019 2020-11-02 09:30:00 2020-11-02 09:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 394 394 394 394 NA 394 0 570 570 1
46 thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59 thirtyminutes0020 2020-03-06 10:00:00 2020-03-06 10:29:59 0 0 NA NA 0 1 1 1299 1299 1299 1299 NA 1299 0 600 600 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
47 thirtyminutes0020#2020-03-07 10:00:00,2020-03-07 10:29:59 thirtyminutes0020 2020-03-07 10:00:00 2020-03-07 10:29:59 0 0 NA NA 0 1 1 1299 1299 1299 1299 NA 1299 0 600 600 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
48 thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59 thirtyminutes0020 2020-10-30 10:00:00 2020-10-30 10:29:59 0 0 NA NA 0 1 1 1299 1299 1299 1299 NA 1299 0 600 600 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
49 thirtyminutes0020#2020-10-31 10:00:00,2020-10-31 10:29:59 thirtyminutes0020 2020-10-31 10:00:00 2020-10-31 10:29:59 0 0 NA NA 0 1 1 1299 1299 1299 1299 NA 1299 0 600 600 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
50 thirtyminutes0022#2020-03-06 11:00:00,2020-03-06 11:29:59 thirtyminutes0022 2020-03-06 11:00:00 2020-03-06 11:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 129.999 129.999 129.999 129.999 NA 129.999 0 687 687 1
51 thirtyminutes0022#2020-03-07 11:00:00,2020-03-07 11:29:59 thirtyminutes0022 2020-03-07 11:00:00 2020-03-07 11:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 129.999 129.999 129.999 129.999 NA 129.999 0 687 687 1
52 thirtyminutes0022#2020-10-30 11:00:00,2020-10-30 11:29:59 thirtyminutes0022 2020-10-30 11:00:00 2020-10-30 11:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 129.999 129.999 129.999 129.999 NA 129.999 0 687 687 1
53 thirtyminutes0022#2020-10-31 11:00:00,2020-10-31 11:29:59 thirtyminutes0022 2020-10-31 11:00:00 2020-10-31 11:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 129.999 129.999 129.999 129.999 NA 129.999 0 687 687 1
54 thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59 thirtyminutes0023 2020-03-06 11:30:00 2020-03-06 11:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 629 629 629 629 NA 629 0 690 690 1
55 thirtyminutes0023#2020-03-07 11:30:00,2020-03-07 11:59:59 thirtyminutes0023 2020-03-07 11:30:00 2020-03-07 11:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 629 629 629 629 NA 629 0 690 690 1
56 thirtyminutes0023#2020-03-09 11:30:00,2020-03-09 11:59:59 thirtyminutes0023 2020-03-09 11:30:00 2020-03-09 11:59:59 0 0 NA NA 0 1 1 623 623 623 623 NA 623 0 692 692 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
57 thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59 thirtyminutes0023 2020-10-30 11:30:00 2020-10-30 11:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 629 629 629 629 NA 629 0 690 690 1
58 thirtyminutes0023#2020-10-31 11:30:00,2020-10-31 11:59:59 thirtyminutes0023 2020-10-31 11:30:00 2020-10-31 11:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 629 629 629 629 NA 629 0 690 690 1
59 thirtyminutes0023#2020-11-02 11:30:00,2020-11-02 11:59:59 thirtyminutes0023 2020-11-02 11:30:00 2020-11-02 11:59:59 0 0 NA NA 0 1 1 623 623 623 623 NA 623 0 692 692 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
60 thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59 thirtyminutes0024 2020-03-08 12:00:00 2020-03-08 12:29:59 0 0 NA NA 0 1 1 1023 1023 1023 1023 NA 1023 0 724 724 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
61 thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59 thirtyminutes0024 2020-11-01 12:00:00 2020-11-01 12:29:59 0 0 NA NA 0 1 1 1023 1023 1023 1023 NA 1023 0 724 724 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
62 thirtyminutes0025#2020-03-06 12:30:00,2020-03-06 12:59:59 thirtyminutes0025 2020-03-06 12:30:00 2020-03-06 12:59:59 0 0 NA NA 0 2 2 550.9995 1101.999 48.999 1053 709.935915418075 1053 0.182333206933611 753 779 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
63 thirtyminutes0025#2020-03-08 12:30:00,2020-03-08 12:59:59 thirtyminutes0025 2020-03-08 12:30:00 2020-03-08 12:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 32 32 32 32 NA 32 0 769 769 1
64 thirtyminutes0025#2020-10-30 12:30:00,2020-10-30 12:59:59 thirtyminutes0025 2020-10-30 12:30:00 2020-10-30 12:59:59 0 0 NA NA 0 2 2 550.9995 1101.999 48.999 1053 709.935915418075 1053 0.182333206933611 753 779 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
65 thirtyminutes0025#2020-11-01 12:30:00,2020-11-01 12:59:59 thirtyminutes0025 2020-11-01 12:30:00 2020-11-01 12:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 32 32 32 32 NA 32 0 769 769 1
66 thirtyminutes0026#2020-03-06 13:00:00,2020-03-06 13:29:59 thirtyminutes0026 2020-03-06 13:00:00 2020-03-06 13:29:59 0 0 NA NA 0 1 1 613 613 613 613 NA 613 0 780 780 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
67 thirtyminutes0026#2020-10-30 13:00:00,2020-10-30 13:29:59 thirtyminutes0026 2020-10-30 13:00:00 2020-10-30 13:29:59 0 0 NA NA 0 1 1 613 613 613 613 NA 613 0 780 780 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
68 thirtyminutes0028#2020-03-06 14:00:00,2020-03-06 14:29:59 thirtyminutes0028 2020-03-06 14:00:00 2020-03-06 14:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 26.999 26.999 26.999 26.999 NA 26.999 0 869 869 1
69 thirtyminutes0028#2020-10-30 14:00:00,2020-10-30 14:29:59 thirtyminutes0028 2020-10-30 14:00:00 2020-10-30 14:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 26.999 26.999 26.999 26.999 NA 26.999 0 869 869 1
70 thirtyminutes0029#2020-03-06 14:30:00,2020-03-06 14:59:59 thirtyminutes0029 2020-03-06 14:30:00 2020-03-06 14:59:59 1 1 874 874 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 1262 1262 1262 1262 NA 1262 0 870 870 1
71 thirtyminutes0029#2020-10-30 14:30:00,2020-10-30 14:59:59 thirtyminutes0029 2020-10-30 14:30:00 2020-10-30 14:59:59 1 1 874 874 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 1262 1262 1262 1262 NA 1262 0 870 870 1
72 thirtyminutes0030#2020-03-06 15:00:00,2020-03-06 15:29:59 thirtyminutes0030 2020-03-06 15:00:00 2020-03-06 15:29:59 0 0 NA NA 0 1 1 213 213 213 213 NA 213 0 921 921 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
73 thirtyminutes0030#2020-10-30 15:00:00,2020-10-30 15:29:59 thirtyminutes0030 2020-10-30 15:00:00 2020-10-30 15:29:59 0 0 NA NA 0 1 1 213 213 213 213 NA 213 0 921 921 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
74 thirtyminutes0032#2020-03-07 16:00:00,2020-03-07 16:29:59 thirtyminutes0032 2020-03-07 16:00:00 2020-03-07 16:29:59 1 1 987 987 1 1 1 557 557 557 557 NA 557 0 964 964 1 1 1 801.999 801.999 801.999 801.999 NA 801.999 0 976 976 1
75 thirtyminutes0032#2020-10-31 16:00:00,2020-10-31 16:29:59 thirtyminutes0032 2020-10-31 16:00:00 2020-10-31 16:29:59 1 1 987 987 1 1 1 557 557 557 557 NA 557 0 964 964 1 1 1 801.999 801.999 801.999 801.999 NA 801.999 0 976 976 1
76 thirtyminutes0033#2020-03-07 16:30:00,2020-03-07 16:59:59 thirtyminutes0033 2020-03-07 16:30:00 2020-03-07 16:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 619 619 619 619 NA 619 0 990 990 1
77 thirtyminutes0033#2020-03-09 16:30:00,2020-03-09 16:59:59 thirtyminutes0033 2020-03-09 16:30:00 2020-03-09 16:59:59 1 1 1008 1008 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
78 thirtyminutes0033#2020-10-31 16:30:00,2020-10-31 16:59:59 thirtyminutes0033 2020-10-31 16:30:00 2020-10-31 16:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 619 619 619 619 NA 619 0 990 990 1
79 thirtyminutes0033#2020-11-02 16:30:00,2020-11-02 16:59:59 thirtyminutes0033 2020-11-02 16:30:00 2020-11-02 16:59:59 1 1 1008 1008 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
80 thirtyminutes0034#2020-03-07 17:00:00,2020-03-07 17:29:59 thirtyminutes0034 2020-03-07 17:00:00 2020-03-07 17:29:59 0 0 NA NA 0 1 1 940.999 940.999 940.999 940.999 NA 940.999 0 1034 1034 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
81 thirtyminutes0034#2020-10-31 17:00:00,2020-10-31 17:29:59 thirtyminutes0034 2020-10-31 17:00:00 2020-10-31 17:29:59 0 0 NA NA 0 1 1 940.999 940.999 940.999 940.999 NA 940.999 0 1034 1034 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
82 thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59 thirtyminutes0035 2020-03-06 17:30:00 2020-03-06 17:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 1186 1186 1186 1186 NA 1186 0 1051 1051 1
83 thirtyminutes0035#2020-03-07 17:30:00,2020-03-07 17:59:59 thirtyminutes0035 2020-03-07 17:30:00 2020-03-07 17:59:59 0 0 NA NA 0 1 1 778 778 778 778 NA 778 0 1050 1050 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
84 thirtyminutes0035#2020-03-09 17:30:00,2020-03-09 17:59:59 thirtyminutes0035 2020-03-09 17:30:00 2020-03-09 17:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 32 32 32 32 NA 32 0 1075 1075 0
85 thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59 thirtyminutes0035 2020-10-30 17:30:00 2020-10-30 17:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 1186 1186 1186 1186 NA 1186 0 1051 1051 1
86 thirtyminutes0035#2020-10-31 17:30:00,2020-10-31 17:59:59 thirtyminutes0035 2020-10-31 17:30:00 2020-10-31 17:59:59 0 0 NA NA 0 1 1 778 778 778 778 NA 778 0 1050 1050 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
87 thirtyminutes0035#2020-11-02 17:30:00,2020-11-02 17:59:59 thirtyminutes0035 2020-11-02 17:30:00 2020-11-02 17:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 32 32 32 32 NA 32 0 1075 1075 0
88 thirtyminutes0036#2020-03-07 18:00:00,2020-03-07 18:29:59 thirtyminutes0036 2020-03-07 18:00:00 2020-03-07 18:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 762.999 762.999 762.999 762.999 NA 762.999 0 1097 1097 1
89 thirtyminutes0036#2020-03-08 18:00:00,2020-03-08 18:29:59 thirtyminutes0036 2020-03-08 18:00:00 2020-03-08 18:29:59 1 1 1101 1101 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
90 thirtyminutes0036#2020-10-31 18:00:00,2020-10-31 18:29:59 thirtyminutes0036 2020-10-31 18:00:00 2020-10-31 18:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 762.999 762.999 762.999 762.999 NA 762.999 0 1097 1097 1
91 thirtyminutes0036#2020-11-01 18:00:00,2020-11-01 18:29:59 thirtyminutes0036 2020-11-01 18:00:00 2020-11-01 18:29:59 1 1 1101 1101 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
92 thirtyminutes0037#2020-03-07 18:30:00,2020-03-07 18:59:59 thirtyminutes0037 2020-03-07 18:30:00 2020-03-07 18:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 780 780 780 780 NA 780 0 1110 1110 1
93 thirtyminutes0037#2020-10-31 18:30:00,2020-10-31 18:59:59 thirtyminutes0037 2020-10-31 18:30:00 2020-10-31 18:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 780 780 780 780 NA 780 0 1110 1110 1
94 thirtyminutes0038#2020-03-06 19:00:00,2020-03-06 19:29:59 thirtyminutes0038 2020-03-06 19:00:00 2020-03-06 19:29:59 1 1 1167 1167 1 1 1 1157 1157 1157 1157 NA 1157 0 1144 1144 1 1 1 801.999 801.999 801.999 801.999 NA 801.999 0 1156 1156 1
95 thirtyminutes0038#2020-03-07 19:00:00,2020-03-07 19:29:59 thirtyminutes0038 2020-03-07 19:00:00 2020-03-07 19:29:59 0 0 NA NA 0 1 1 1093.999 1093.999 1093.999 1093.999 NA 1093.999 0 1151 1151 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
96 thirtyminutes0038#2020-03-09 19:00:00,2020-03-09 19:29:59 thirtyminutes0038 2020-03-09 19:00:00 2020-03-09 19:29:59 0 0 NA NA 0 1 1 229.999 229.999 229.999 229.999 NA 229.999 0 1166 1166 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
97 thirtyminutes0038#2020-10-30 19:00:00,2020-10-30 19:29:59 thirtyminutes0038 2020-10-30 19:00:00 2020-10-30 19:29:59 1 1 1167 1167 1 1 1 1157 1157 1157 1157 NA 1157 0 1144 1144 1 1 1 801.999 801.999 801.999 801.999 NA 801.999 0 1156 1156 1
98 thirtyminutes0038#2020-10-31 19:00:00,2020-10-31 19:29:59 thirtyminutes0038 2020-10-31 19:00:00 2020-10-31 19:29:59 0 0 NA NA 0 1 1 1093.999 1093.999 1093.999 1093.999 NA 1093.999 0 1151 1151 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
99 thirtyminutes0038#2020-11-02 19:00:00,2020-11-02 19:29:59 thirtyminutes0038 2020-11-02 19:00:00 2020-11-02 19:29:59 0 0 NA NA 0 1 1 229.999 229.999 229.999 229.999 NA 229.999 0 1166 1166 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
100 thirtyminutes0039#2020-03-06 19:30:00,2020-03-06 19:59:59 thirtyminutes0039 2020-03-06 19:30:00 2020-03-06 19:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 619 619 619 619 NA 619 0 1170 1170 1
101 thirtyminutes0039#2020-03-07 19:30:00,2020-03-07 19:59:59 thirtyminutes0039 2020-03-07 19:30:00 2020-03-07 19:59:59 0 0 NA NA 0 1 1 130 130 130 130 NA 130 0 1170 1170 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
102 thirtyminutes0039#2020-03-08 19:30:00,2020-03-08 19:59:59 thirtyminutes0039 2020-03-08 19:30:00 2020-03-08 19:59:59 0 0 NA NA 0 1 1 128 128 128 128 NA 128 0 1177 1177 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
103 thirtyminutes0039#2020-03-09 19:30:00,2020-03-09 19:59:59 thirtyminutes0039 2020-03-09 19:30:00 2020-03-09 19:59:59 0 0 NA NA 0 1 1 262 262 262 262 NA 262 0 1170 1170 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
104 thirtyminutes0039#2020-10-30 19:30:00,2020-10-30 19:59:59 thirtyminutes0039 2020-10-30 19:30:00 2020-10-30 19:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 619 619 619 619 NA 619 0 1170 1170 1
105 thirtyminutes0039#2020-10-31 19:30:00,2020-10-31 19:59:59 thirtyminutes0039 2020-10-31 19:30:00 2020-10-31 19:59:59 0 0 NA NA 0 1 1 130 130 130 130 NA 130 0 1170 1170 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
106 thirtyminutes0039#2020-11-01 19:30:00,2020-11-01 19:59:59 thirtyminutes0039 2020-11-01 19:30:00 2020-11-01 19:59:59 0 0 NA NA 0 1 1 128 128 128 128 NA 128 0 1177 1177 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
107 thirtyminutes0039#2020-11-02 19:30:00,2020-11-02 19:59:59 thirtyminutes0039 2020-11-02 19:30:00 2020-11-02 19:59:59 0 0 NA NA 0 1 1 262 262 262 262 NA 262 0 1170 1170 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
108 thirtyminutes0040#2020-03-06 20:00:00,2020-03-06 20:29:59 thirtyminutes0040 2020-03-06 20:00:00 2020-03-06 20:29:59 0 0 NA NA 0 1 1 940.999 940.999 940.999 940.999 NA 940.999 0 1214 1214 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
109 thirtyminutes0040#2020-10-30 20:00:00,2020-10-30 20:29:59 thirtyminutes0040 2020-10-30 20:00:00 2020-10-30 20:29:59 0 0 NA NA 0 1 1 940.999 940.999 940.999 940.999 NA 940.999 0 1214 1214 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
110 thirtyminutes0041#2020-03-06 20:30:00,2020-03-06 20:59:59 thirtyminutes0041 2020-03-06 20:30:00 2020-03-06 20:59:59 0 0 NA NA 0 1 1 778 778 778 778 NA 778 0 1230 1230 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
111 thirtyminutes0041#2020-10-30 20:30:00,2020-10-30 20:59:59 thirtyminutes0041 2020-10-30 20:30:00 2020-10-30 20:59:59 0 0 NA NA 0 1 1 778 778 778 778 NA 778 0 1230 1230 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
112 thirtyminutes0042#2020-03-06 21:00:00,2020-03-06 21:29:59 thirtyminutes0042 2020-03-06 21:00:00 2020-03-06 21:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 762.999 762.999 762.999 762.999 NA 762.999 0 1277 1277 1
113 thirtyminutes0042#2020-03-07 21:00:00,2020-03-07 21:29:59 thirtyminutes0042 2020-03-07 21:00:00 2020-03-07 21:29:59 1 1 1283 1283 1 1 1 315 315 315 315 NA 315 0 1275 1275 1 1 1 232 232 232 232 NA 232 0 1282 1282 0
114 thirtyminutes0042#2020-03-08 21:00:00,2020-03-08 21:29:59 thirtyminutes0042 2020-03-08 21:00:00 2020-03-08 21:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 469.999 469.999 469.999 469.999 NA 469.999 0 1282 1282 0
115 thirtyminutes0042#2020-10-30 21:00:00,2020-10-30 21:29:59 thirtyminutes0042 2020-10-30 21:00:00 2020-10-30 21:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 762.999 762.999 762.999 762.999 NA 762.999 0 1277 1277 1
116 thirtyminutes0042#2020-10-31 21:00:00,2020-10-31 21:29:59 thirtyminutes0042 2020-10-31 21:00:00 2020-10-31 21:29:59 1 1 1283 1283 1 1 1 315 315 315 315 NA 315 0 1275 1275 1 1 1 232 232 232 232 NA 232 0 1282 1282 0
117 thirtyminutes0042#2020-11-01 21:00:00,2020-11-01 21:29:59 thirtyminutes0042 2020-11-01 21:00:00 2020-11-01 21:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 469.999 469.999 469.999 469.999 NA 469.999 0 1282 1282 0
118 thirtyminutes0043#2020-03-06 21:30:00,2020-03-06 21:59:59 thirtyminutes0043 2020-03-06 21:30:00 2020-03-06 21:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 780 780 780 780 NA 780 0 1290 1290 1
119 thirtyminutes0043#2020-03-08 21:30:00,2020-03-08 21:59:59 thirtyminutes0043 2020-03-08 21:30:00 2020-03-08 21:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 102 102 102 102 NA 102 0 1290 1290 0
120 thirtyminutes0043#2020-10-30 21:30:00,2020-10-30 21:59:59 thirtyminutes0043 2020-10-30 21:30:00 2020-10-30 21:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 780 780 780 780 NA 780 0 1290 1290 1
121 thirtyminutes0043#2020-11-01 21:30:00,2020-11-01 21:59:59 thirtyminutes0043 2020-11-01 21:30:00 2020-11-01 21:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 102 102 102 102 NA 102 0 1290 1290 0
122 thirtyminutes0044#2020-03-06 22:00:00,2020-03-06 22:29:59 thirtyminutes0044 2020-03-06 22:00:00 2020-03-06 22:29:59 0 0 NA NA 0 1 1 1093.999 1093.999 1093.999 1093.999 NA 1093.999 0 1331 1331 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
123 thirtyminutes0044#2020-10-30 22:00:00,2020-10-30 22:29:59 thirtyminutes0044 2020-10-30 22:00:00 2020-10-30 22:29:59 0 0 NA NA 0 1 1 1093.999 1093.999 1093.999 1093.999 NA 1093.999 0 1331 1331 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
124 thirtyminutes0045#2020-03-06 22:30:00,2020-03-06 22:59:59 thirtyminutes0045 2020-03-06 22:30:00 2020-03-06 22:59:59 0 0 NA NA 0 1 1 130 130 130 130 NA 130 0 1350 1350 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
125 thirtyminutes0045#2020-10-30 22:30:00,2020-10-30 22:59:59 thirtyminutes0045 2020-10-30 22:30:00 2020-10-30 22:59:59 0 0 NA NA 0 1 1 130 130 130 130 NA 130 0 1350 1350 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0

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@ -1,55 +1,55 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_conversation_rapids_minutesnoise","phone_conversation_rapids_noisemaxenergy","phone_conversation_rapids_voicemaxenergy","phone_conversation_rapids_sdconversationduration","phone_conversation_rapids_minutesunknown","phone_conversation_rapids_unknownexpectedfraction","phone_conversation_rapids_noisesumenergy","phone_conversation_rapids_sumconversationduration","phone_conversation_rapids_timelastconversation","phone_conversation_rapids_noiseexpectedfraction","phone_conversation_rapids_noiseavgenergy","phone_conversation_rapids_unknownsensedfraction","phone_conversation_rapids_minutesvoice","phone_conversation_rapids_voiceavgenergy","phone_conversation_rapids_voiceexpectedfraction","phone_conversation_rapids_noisesensedfraction","phone_conversation_rapids_voicesensedfraction","phone_conversation_rapids_voicesumenergy","phone_conversation_rapids_voiceminenergy","phone_conversation_rapids_minconversationduration","phone_conversation_rapids_avgconversationduration","phone_conversation_rapids_noiseminenergy","phone_conversation_rapids_maxconversationduration","phone_conversation_rapids_voicesdenergy","phone_conversation_rapids_timefirstconversation","phone_conversation_rapids_countconversation","phone_conversation_rapids_minutessilence","phone_conversation_rapids_silencesensedfraction","phone_conversation_rapids_noisesdenergy","phone_conversation_rapids_silenceexpectedfraction" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_conversation_rapids_voicemaxenergy","phone_conversation_rapids_voiceexpectedfraction","phone_conversation_rapids_noisesdenergy","phone_conversation_rapids_silenceexpectedfraction","phone_conversation_rapids_noiseexpectedfraction","phone_conversation_rapids_unknownsensedfraction","phone_conversation_rapids_voiceminenergy","phone_conversation_rapids_noisesumenergy","phone_conversation_rapids_timefirstconversation","phone_conversation_rapids_minutessilence","phone_conversation_rapids_voicesumenergy","phone_conversation_rapids_voicesensedfraction","phone_conversation_rapids_minutesunknown","phone_conversation_rapids_noiseminenergy","phone_conversation_rapids_unknownexpectedfraction","phone_conversation_rapids_countconversation","phone_conversation_rapids_noisemaxenergy","phone_conversation_rapids_noiseavgenergy","phone_conversation_rapids_minutesvoice","phone_conversation_rapids_silencesensedfraction","phone_conversation_rapids_timelastconversation","phone_conversation_rapids_voiceavgenergy","phone_conversation_rapids_noisesensedfraction","phone_conversation_rapids_avgconversationduration","phone_conversation_rapids_minconversationduration","phone_conversation_rapids_voicesdenergy","phone_conversation_rapids_minutesnoise","phone_conversation_rapids_maxconversationduration","phone_conversation_rapids_sdconversationduration","phone_conversation_rapids_sumconversationduration"
"thirtyminutes0002#2020-03-06 01:00:00,2020-03-06 01:29:59","thirtyminutes0002","2020-03-06 01:00:00","2020-03-06 01:29:59",0.683333333333333,11769,4981,NA,0.0666666666666667,0.00888889382716324,254984,0.718016664187113,73,0.0911111617284232,6219.12195121951,0.0677966101694915,0.183333333333333,2658.90909090909,0.0244444580246989,0.694915254237288,0.186440677966102,29248,61,0.718016664187113,0.718016664187113,559,0.718016664187113,1686.32716010538,73,1,0.05,0.0508474576271186,3611.99537094887,0.00666667037037243 "thirtyminutes0002#2020-03-06 01:00:00,2020-03-06 01:29:59","thirtyminutes0002","2020-03-06 01:00:00","2020-03-06 01:29:59",4981,0.0244444580246989,3611.99537094887,0.00666667037037243,0.0911111617284232,0.0677966101694915,61,254984,73,0.05,29248,0.186440677966102,0.0666666666666667,559,0.00888889382716324,1,11769,6219.12195121951,0.183333333333333,0.0508474576271186,73,2658.90909090909,0.694915254237288,0.718016664187113,0.718016664187113,1686.32716010538,0.683333333333333,0.718016664187113,NA,0.718016664187113
"thirtyminutes0002#2020-03-07 01:00:00,2020-03-07 01:29:59","thirtyminutes0002","2020-03-07 01:00:00","2020-03-07 01:29:59",0.683333333333333,11769,4981,NA,0.0666666666666667,0.00888889382716324,254984,1666.66666666667,73,0.0911111617284232,6219.12195121951,0.0677966101694915,0.183333333333333,2658.90909090909,0.0244444580246989,0.694915254237288,0.186440677966102,29248,61,1666.66666666667,1666.66666666667,559,1666.66666666667,1686.32716010538,73,1,0.05,0.0508474576271186,3611.99537094887,0.00666667037037243 "thirtyminutes0002#2020-03-07 01:00:00,2020-03-07 01:29:59","thirtyminutes0002","2020-03-07 01:00:00","2020-03-07 01:29:59",4981,0.0244444580246989,3611.99537094887,0.00666667037037243,0.0911111617284232,0.0677966101694915,61,254984,73,0.05,29248,0.186440677966102,0.0666666666666667,559,0.00888889382716324,1,11769,6219.12195121951,0.183333333333333,0.0508474576271186,73,2658.90909090909,0.694915254237288,1666.66666666667,1666.66666666667,1686.32716010538,0.683333333333333,1666.66666666667,NA,1666.66666666667
"thirtyminutes0002#2020-03-09 01:00:00,2020-03-09 01:29:59","thirtyminutes0002","2020-03-09 01:00:00","2020-03-09 01:29:59",2.06666666666667,11967,5859,NA,0.183333333333333,0.0244444580246989,738382,2.28333333333333,77,0.27555570864206,5954.6935483871,0.0614525139664804,0.6,3248.72222222222,0.0800000444444691,0.692737430167598,0.201117318435754,116954,69,2.28333333333333,2.28333333333333,267,2.28333333333333,1789.91462862835,77,1,0.133333333333333,0.0446927374301676,3538.5841001422,0.0177777876543265 "thirtyminutes0002#2020-03-09 01:00:00,2020-03-09 01:29:59","thirtyminutes0002","2020-03-09 01:00:00","2020-03-09 01:29:59",5859,0.0800000444444691,3538.5841001422,0.0177777876543265,0.27555570864206,0.0614525139664804,69,738382,77,0.133333333333333,116954,0.201117318435754,0.183333333333333,267,0.0244444580246989,1,11967,5954.6935483871,0.6,0.0446927374301676,77,3248.72222222222,0.692737430167598,2.28333333333333,2.28333333333333,1789.91462862835,2.06666666666667,2.28333333333333,NA,2.28333333333333
"thirtyminutes0002#2020-10-30 01:00:00,2020-10-30 01:29:59","thirtyminutes0002","2020-10-30 01:00:00","2020-10-30 01:29:59",0.683333333333333,11769,4981,NA,0.0666666666666667,0.00888889382716324,254984,0.718016664187113,73,0.0911111617284232,6219.12195121951,0.0677966101694915,0.183333333333333,2658.90909090909,0.0244444580246989,0.694915254237288,0.186440677966102,29248,61,0.718016664187113,0.718016664187113,559,0.718016664187113,1686.32716010538,73,1,0.05,0.0508474576271186,3611.99537094887,0.00666667037037243 "thirtyminutes0002#2020-10-30 01:00:00,2020-10-30 01:29:59","thirtyminutes0002","2020-10-30 01:00:00","2020-10-30 01:29:59",4981,0.0244444580246989,3611.99537094887,0.00666667037037243,0.0911111617284232,0.0677966101694915,61,254984,73,0.05,29248,0.186440677966102,0.0666666666666667,559,0.00888889382716324,1,11769,6219.12195121951,0.183333333333333,0.0508474576271186,73,2658.90909090909,0.694915254237288,0.718016664187113,0.718016664187113,1686.32716010538,0.683333333333333,0.718016664187113,NA,0.718016664187113
"thirtyminutes0002#2020-10-31 01:00:00,2020-10-31 01:29:59","thirtyminutes0002","2020-10-31 01:00:00","2020-10-31 01:29:59",0.683333333333333,11769,4981,NA,0.0666666666666667,0.00888889382716324,254984,1666.66666666667,73,0.0911111617284232,6219.12195121951,0.0677966101694915,0.183333333333333,2658.90909090909,0.0244444580246989,0.694915254237288,0.186440677966102,29248,61,1666.66666666667,1666.66666666667,559,1666.66666666667,1686.32716010538,73,1,0.05,0.0508474576271186,3611.99537094887,0.00666667037037243 "thirtyminutes0002#2020-10-31 01:00:00,2020-10-31 01:29:59","thirtyminutes0002","2020-10-31 01:00:00","2020-10-31 01:29:59",4981,0.0244444580246989,3611.99537094887,0.00666667037037243,0.0911111617284232,0.0677966101694915,61,254984,73,0.05,29248,0.186440677966102,0.0666666666666667,559,0.00888889382716324,1,11769,6219.12195121951,0.183333333333333,0.0508474576271186,73,2658.90909090909,0.694915254237288,1666.66666666667,1666.66666666667,1686.32716010538,0.683333333333333,1666.66666666667,NA,1666.66666666667
"thirtyminutes0002#2020-11-02 01:00:00,2020-11-02 01:29:59","thirtyminutes0002","2020-11-02 01:00:00","2020-11-02 01:29:59",2.06666666666667,11967,5859,NA,0.183333333333333,0.0244444580246989,738382,2.28333333333333,77,0.27555570864206,5954.6935483871,0.0614525139664804,0.6,3248.72222222222,0.0800000444444691,0.692737430167598,0.201117318435754,116954,69,2.28333333333333,2.28333333333333,267,2.28333333333333,1789.91462862835,77,1,0.133333333333333,0.0446927374301676,3538.5841001422,0.0177777876543265 "thirtyminutes0002#2020-11-02 01:00:00,2020-11-02 01:29:59","thirtyminutes0002","2020-11-02 01:00:00","2020-11-02 01:29:59",5859,0.0800000444444691,3538.5841001422,0.0177777876543265,0.27555570864206,0.0614525139664804,69,738382,77,0.133333333333333,116954,0.201117318435754,0.183333333333333,267,0.0244444580246989,1,11967,5954.6935483871,0.6,0.0446927374301676,77,3248.72222222222,0.692737430167598,2.28333333333333,2.28333333333333,1789.91462862835,2.06666666666667,2.28333333333333,NA,2.28333333333333
"thirtyminutes0006#2020-03-08 03:00:00,2020-03-08 03:29:59","thirtyminutes0006","2020-03-08 03:00:00","2020-03-08 03:29:59",2.08333333333333,11986,5755,NA,0.2,0.0266666814814897,761172,0,NA,0.277777932098851,6089.376,0.0666666666666667,0.533333333333333,3190.09375,0.0711111506173059,0.694444444444445,0.177777777777778,102083,241,0,0,32,0,1794.397668001,NA,0,0.183333333333333,0.0611111111111111,3780.64082011366,0.0244444580246989 "thirtyminutes0006#2020-03-08 03:00:00,2020-03-08 03:29:59","thirtyminutes0006","2020-03-08 03:00:00","2020-03-08 03:29:59",5755,0.0711111506173059,3780.64082011366,0.0244444580246989,0.277777932098851,0.0666666666666667,241,761172,NA,0.183333333333333,102083,0.177777777777778,0.2,32,0.0266666814814897,NA,11986,6089.376,0.533333333333333,0.0611111111111111,NA,3190.09375,0.694444444444445,NA,NA,1794.397668001,2.08333333333333,0,NA,0
"thirtyminutes0006#2020-11-01 03:00:00,2020-11-01 03:29:59","thirtyminutes0006","2020-11-01 03:00:00","2020-11-01 03:29:59",2.08333333333333,11986,5755,NA,0.2,0.0266666814814897,761172,0,NA,0.277777932098851,6089.376,0.0666666666666667,0.533333333333333,3190.09375,0.0711111506173059,0.694444444444445,0.177777777777778,102083,241,0,0,32,0,1794.397668001,NA,0,0.183333333333333,0.0611111111111111,3780.64082011366,0.0244444580246989 "thirtyminutes0006#2020-11-01 03:00:00,2020-11-01 03:29:59","thirtyminutes0006","2020-11-01 03:00:00","2020-11-01 03:29:59",5755,0.0711111506173059,3780.64082011366,0.0244444580246989,0.277777932098851,0.0666666666666667,241,761172,NA,0.183333333333333,102083,0.177777777777778,0.2,32,0.0266666814814897,NA,11986,6089.376,0.533333333333333,0.0611111111111111,NA,3190.09375,0.694444444444445,NA,NA,1794.397668001,2.08333333333333,0,NA,0
"thirtyminutes0011#2020-03-06 05:30:00,2020-03-06 05:59:59","thirtyminutes0011","2020-03-06 05:30:00","2020-03-06 05:59:59",3.51666666666667,11958,5914,NA,0.35,0.046666692592607,1375453,10.0464333335559,359,0.468889149382861,6518.7345971564,0.0702341137123746,0.916666666666667,2877.74545454545,0.122222290123495,0.705685618729097,0.183946488294314,158276,159,10.0464333335559,10.0464333335559,50,10.0464333335559,1828.46456753952,359,1,0.2,0.040133779264214,3479.48376517021,0.0266666814814897 "thirtyminutes0011#2020-03-06 05:30:00,2020-03-06 05:59:59","thirtyminutes0011","2020-03-06 05:30:00","2020-03-06 05:59:59",5914,0.122222290123495,3479.48376517021,0.0266666814814897,0.468889149382861,0.0702341137123746,159,1375453,359,0.2,158276,0.183946488294314,0.35,50,0.046666692592607,1,11958,6518.7345971564,0.916666666666667,0.040133779264214,359,2877.74545454545,0.705685618729097,10.0464333335559,10.0464333335559,1828.46456753952,3.51666666666667,10.0464333335559,NA,10.0464333335559
"thirtyminutes0011#2020-03-07 05:30:00,2020-03-07 05:59:59","thirtyminutes0011","2020-03-07 05:30:00","2020-03-07 05:59:59",2.11666666666667,11931,5914,NA,0.166666666666667,0.0222222345679081,843439,10.05,359,0.282222379012433,6641.25196850394,0.0558659217877095,0.55,2891.81818181818,0.0733333740740967,0.709497206703911,0.184357541899441,95430,267,10.05,10.05,79,10.05,1835.10548836003,359,1,0.15,0.0502793296089385,3404.5491974115,0.0200000111111173 "thirtyminutes0011#2020-03-07 05:30:00,2020-03-07 05:59:59","thirtyminutes0011","2020-03-07 05:30:00","2020-03-07 05:59:59",5914,0.0733333740740967,3404.5491974115,0.0200000111111173,0.282222379012433,0.0558659217877095,267,843439,359,0.15,95430,0.184357541899441,0.166666666666667,79,0.0222222345679081,1,11931,6641.25196850394,0.55,0.0502793296089385,359,2891.81818181818,0.709497206703911,10.05,10.05,1835.10548836003,2.11666666666667,10.05,NA,10.05
"thirtyminutes0011#2020-10-30 05:30:00,2020-10-30 05:59:59","thirtyminutes0011","2020-10-30 05:30:00","2020-10-30 05:59:59",3.51666666666667,11958,5914,NA,0.35,0.046666692592607,1375453,10.0464333335559,359,0.468889149382861,6518.7345971564,0.0702341137123746,0.916666666666667,2877.74545454545,0.122222290123495,0.705685618729097,0.183946488294314,158276,159,10.0464333335559,10.0464333335559,50,10.0464333335559,1828.46456753952,359,1,0.2,0.040133779264214,3479.48376517021,0.0266666814814897 "thirtyminutes0011#2020-10-30 05:30:00,2020-10-30 05:59:59","thirtyminutes0011","2020-10-30 05:30:00","2020-10-30 05:59:59",5914,0.122222290123495,3479.48376517021,0.0266666814814897,0.468889149382861,0.0702341137123746,159,1375453,359,0.2,158276,0.183946488294314,0.35,50,0.046666692592607,1,11958,6518.7345971564,0.916666666666667,0.040133779264214,359,2877.74545454545,0.705685618729097,10.0464333335559,10.0464333335559,1828.46456753952,3.51666666666667,10.0464333335559,NA,10.0464333335559
"thirtyminutes0011#2020-10-31 05:30:00,2020-10-31 05:59:59","thirtyminutes0011","2020-10-31 05:30:00","2020-10-31 05:59:59",2.11666666666667,11931,5914,NA,0.166666666666667,0.0222222345679081,843439,10.05,359,0.282222379012433,6641.25196850394,0.0558659217877095,0.55,2891.81818181818,0.0733333740740967,0.709497206703911,0.184357541899441,95430,267,10.05,10.05,79,10.05,1835.10548836003,359,1,0.15,0.0502793296089385,3404.5491974115,0.0200000111111173 "thirtyminutes0011#2020-10-31 05:30:00,2020-10-31 05:59:59","thirtyminutes0011","2020-10-31 05:30:00","2020-10-31 05:59:59",5914,0.0733333740740967,3404.5491974115,0.0200000111111173,0.282222379012433,0.0558659217877095,267,843439,359,0.15,95430,0.184357541899441,0.166666666666667,79,0.0222222345679081,1,11931,6641.25196850394,0.55,0.0502793296089385,359,2891.81818181818,0.709497206703911,10.05,10.05,1835.10548836003,2.11666666666667,10.05,NA,10.05
"thirtyminutes0012#2020-03-06 06:00:00,2020-03-06 06:29:59","thirtyminutes0012","2020-03-06 06:00:00","2020-03-06 06:29:59",0.55,11468,5494,NA,0.0333333333333333,0.00444444691358162,205237,0,NA,0.0733333740740967,6219.30303030303,0.0454545454545455,0.133333333333333,2282.625,0.0177777876543265,0.75,0.181818181818182,18261,18,0,0,470,0,1954.05621629179,NA,0,0.0166666666666667,0.0227272727272727,3486.62605971776,0.00222222345679081 "thirtyminutes0012#2020-03-06 06:00:00,2020-03-06 06:29:59","thirtyminutes0012","2020-03-06 06:00:00","2020-03-06 06:29:59",5494,0.0177777876543265,3486.62605971776,0.00222222345679081,0.0733333740740967,0.0454545454545455,18,205237,NA,0.0166666666666667,18261,0.181818181818182,0.0333333333333333,470,0.00444444691358162,NA,11468,6219.30303030303,0.133333333333333,0.0227272727272727,NA,2282.625,0.75,NA,NA,1954.05621629179,0.55,0,NA,0
"thirtyminutes0012#2020-03-07 06:00:00,2020-03-07 06:29:59","thirtyminutes0012","2020-03-07 06:00:00","2020-03-07 06:29:59",0.55,11468,5494,NA,0.0333333333333333,0.00444444691358162,205237,0,NA,0.0733333740740967,6219.30303030303,0.0454545454545455,0.133333333333333,2282.625,0.0177777876543265,0.75,0.181818181818182,18261,18,0,0,470,0,1954.05621629179,NA,0,0.0166666666666667,0.0227272727272727,3486.62605971776,0.00222222345679081 "thirtyminutes0012#2020-03-07 06:00:00,2020-03-07 06:29:59","thirtyminutes0012","2020-03-07 06:00:00","2020-03-07 06:29:59",5494,0.0177777876543265,3486.62605971776,0.00222222345679081,0.0733333740740967,0.0454545454545455,18,205237,NA,0.0166666666666667,18261,0.181818181818182,0.0333333333333333,470,0.00444444691358162,NA,11468,6219.30303030303,0.133333333333333,0.0227272727272727,NA,2282.625,0.75,NA,NA,1954.05621629179,0.55,0,NA,0
"thirtyminutes0012#2020-03-09 06:00:00,2020-03-09 06:29:59","thirtyminutes0012","2020-03-09 06:00:00","2020-03-09 06:29:59",3.56666666666667,11986,5858,NA,0.316666666666667,0.0422222456790254,1329661,0,NA,0.475555819753233,6213.36915887851,0.0608974358974359,0.966666666666667,3331.65517241379,0.128888960493867,0.685897435897436,0.185897435897436,193236,241,0,0,32,0,1766.04139102042,NA,0,0.35,0.0673076923076923,3654.61971833146,0.046666692592607 "thirtyminutes0012#2020-03-09 06:00:00,2020-03-09 06:29:59","thirtyminutes0012","2020-03-09 06:00:00","2020-03-09 06:29:59",5858,0.128888960493867,3654.61971833146,0.046666692592607,0.475555819753233,0.0608974358974359,241,1329661,NA,0.35,193236,0.185897435897436,0.316666666666667,32,0.0422222456790254,NA,11986,6213.36915887851,0.966666666666667,0.0673076923076923,NA,3331.65517241379,0.685897435897436,NA,NA,1766.04139102042,3.56666666666667,0,NA,0
"thirtyminutes0012#2020-10-30 06:00:00,2020-10-30 06:29:59","thirtyminutes0012","2020-10-30 06:00:00","2020-10-30 06:29:59",0.55,11468,5494,NA,0.0333333333333333,0.00444444691358162,205237,0,NA,0.0733333740740967,6219.30303030303,0.0454545454545455,0.133333333333333,2282.625,0.0177777876543265,0.75,0.181818181818182,18261,18,0,0,470,0,1954.05621629179,NA,0,0.0166666666666667,0.0227272727272727,3486.62605971776,0.00222222345679081 "thirtyminutes0012#2020-10-30 06:00:00,2020-10-30 06:29:59","thirtyminutes0012","2020-10-30 06:00:00","2020-10-30 06:29:59",5494,0.0177777876543265,3486.62605971776,0.00222222345679081,0.0733333740740967,0.0454545454545455,18,205237,NA,0.0166666666666667,18261,0.181818181818182,0.0333333333333333,470,0.00444444691358162,NA,11468,6219.30303030303,0.133333333333333,0.0227272727272727,NA,2282.625,0.75,NA,NA,1954.05621629179,0.55,0,NA,0
"thirtyminutes0012#2020-10-31 06:00:00,2020-10-31 06:29:59","thirtyminutes0012","2020-10-31 06:00:00","2020-10-31 06:29:59",0.55,11468,5494,NA,0.0333333333333333,0.00444444691358162,205237,0,NA,0.0733333740740967,6219.30303030303,0.0454545454545455,0.133333333333333,2282.625,0.0177777876543265,0.75,0.181818181818182,18261,18,0,0,470,0,1954.05621629179,NA,0,0.0166666666666667,0.0227272727272727,3486.62605971776,0.00222222345679081 "thirtyminutes0012#2020-10-31 06:00:00,2020-10-31 06:29:59","thirtyminutes0012","2020-10-31 06:00:00","2020-10-31 06:29:59",5494,0.0177777876543265,3486.62605971776,0.00222222345679081,0.0733333740740967,0.0454545454545455,18,205237,NA,0.0166666666666667,18261,0.181818181818182,0.0333333333333333,470,0.00444444691358162,NA,11468,6219.30303030303,0.133333333333333,0.0227272727272727,NA,2282.625,0.75,NA,NA,1954.05621629179,0.55,0,NA,0
"thirtyminutes0012#2020-11-02 06:00:00,2020-11-02 06:29:59","thirtyminutes0012","2020-11-02 06:00:00","2020-11-02 06:29:59",3.56666666666667,11986,5858,NA,0.316666666666667,0.0422222456790254,1329661,0,NA,0.475555819753233,6213.36915887851,0.0608974358974359,0.966666666666667,3331.65517241379,0.128888960493867,0.685897435897436,0.185897435897436,193236,241,0,0,32,0,1766.04139102042,NA,0,0.35,0.0673076923076923,3654.61971833146,0.046666692592607 "thirtyminutes0012#2020-11-02 06:00:00,2020-11-02 06:29:59","thirtyminutes0012","2020-11-02 06:00:00","2020-11-02 06:29:59",5858,0.128888960493867,3654.61971833146,0.046666692592607,0.475555819753233,0.0608974358974359,241,1329661,NA,0.35,193236,0.185897435897436,0.316666666666667,32,0.0422222456790254,NA,11986,6213.36915887851,0.966666666666667,0.0673076923076923,NA,3331.65517241379,0.685897435897436,NA,NA,1766.04139102042,3.56666666666667,0,NA,0
"thirtyminutes0013#2020-03-07 06:30:00,2020-03-07 06:59:59","thirtyminutes0013","2020-03-07 06:30:00","2020-03-07 06:59:59",1.25,11920,5974,NA,0.0666666666666667,0.00888889382716324,459919,1.33333333333333,392,0.166666759259311,6132.25333333333,0.0336134453781513,0.533333333333333,3083.6875,0.0711111506173059,0.630252100840336,0.26890756302521,98678,648,1.33333333333333,1.33333333333333,222,1.33333333333333,1557.76443284144,392,1,0.133333333333333,0.0672268907563025,3609.22901886686,0.0177777876543265 "thirtyminutes0013#2020-03-07 06:30:00,2020-03-07 06:59:59","thirtyminutes0013","2020-03-07 06:30:00","2020-03-07 06:59:59",5974,0.0711111506173059,3609.22901886686,0.0177777876543265,0.166666759259311,0.0336134453781513,648,459919,392,0.133333333333333,98678,0.26890756302521,0.0666666666666667,222,0.00888889382716324,1,11920,6132.25333333333,0.533333333333333,0.0672268907563025,392,3083.6875,0.630252100840336,1.33333333333333,1.33333333333333,1557.76443284144,1.25,1.33333333333333,NA,1.33333333333333
"thirtyminutes0013#2020-10-31 06:30:00,2020-10-31 06:59:59","thirtyminutes0013","2020-10-31 06:30:00","2020-10-31 06:59:59",1.25,11920,5974,NA,0.0666666666666667,0.00888889382716324,459919,1.33333333333333,392,0.166666759259311,6132.25333333333,0.0336134453781513,0.533333333333333,3083.6875,0.0711111506173059,0.630252100840336,0.26890756302521,98678,648,1.33333333333333,1.33333333333333,222,1.33333333333333,1557.76443284144,392,1,0.133333333333333,0.0672268907563025,3609.22901886686,0.0177777876543265 "thirtyminutes0013#2020-10-31 06:30:00,2020-10-31 06:59:59","thirtyminutes0013","2020-10-31 06:30:00","2020-10-31 06:59:59",5974,0.0711111506173059,3609.22901886686,0.0177777876543265,0.166666759259311,0.0336134453781513,648,459919,392,0.133333333333333,98678,0.26890756302521,0.0666666666666667,222,0.00888889382716324,1,11920,6132.25333333333,0.533333333333333,0.0672268907563025,392,3083.6875,0.630252100840336,1.33333333333333,1.33333333333333,1557.76443284144,1.25,1.33333333333333,NA,1.33333333333333
"thirtyminutes0017#2020-03-08 08:30:00,2020-03-08 08:59:59","thirtyminutes0017","2020-03-08 08:30:00","2020-03-08 08:59:59",0.683333333333333,11807,5305,NA,0.0166666666666667,0.00222222345679081,282076,2.63854999939601,539,0.0911111617284232,6879.90243902439,0.0169491525423729,0.25,3331.33333333333,0.0333333518518621,0.694915254237288,0.254237288135593,49970,39,2.63854999939601,2.63854999939601,352,2.63854999939601,1835.82486974683,539,1,0.0333333333333333,0.0338983050847458,3485.30422491981,0.00444444691358162 "thirtyminutes0017#2020-03-08 08:30:00,2020-03-08 08:59:59","thirtyminutes0017","2020-03-08 08:30:00","2020-03-08 08:59:59",5305,0.0333333518518621,3485.30422491981,0.00444444691358162,0.0911111617284232,0.0169491525423729,39,282076,539,0.0333333333333333,49970,0.254237288135593,0.0166666666666667,352,0.00222222345679081,1,11807,6879.90243902439,0.25,0.0338983050847458,539,3331.33333333333,0.694915254237288,2.63854999939601,2.63854999939601,1835.82486974683,0.683333333333333,2.63854999939601,NA,2.63854999939601
"thirtyminutes0017#2020-11-01 08:30:00,2020-11-01 08:59:59","thirtyminutes0017","2020-11-01 08:30:00","2020-11-01 08:59:59",0.683333333333333,11807,5305,NA,0.0166666666666667,0.00222222345679081,282076,2.63854999939601,539,0.0911111617284232,6879.90243902439,0.0169491525423729,0.25,3331.33333333333,0.0333333518518621,0.694915254237288,0.254237288135593,49970,39,2.63854999939601,2.63854999939601,352,2.63854999939601,1835.82486974683,539,1,0.0333333333333333,0.0338983050847458,3485.30422491981,0.00444444691358162 "thirtyminutes0017#2020-11-01 08:30:00,2020-11-01 08:59:59","thirtyminutes0017","2020-11-01 08:30:00","2020-11-01 08:59:59",5305,0.0333333518518621,3485.30422491981,0.00444444691358162,0.0911111617284232,0.0169491525423729,39,282076,539,0.0333333333333333,49970,0.254237288135593,0.0166666666666667,352,0.00222222345679081,1,11807,6879.90243902439,0.25,0.0338983050847458,539,3331.33333333333,0.694915254237288,2.63854999939601,2.63854999939601,1835.82486974683,0.683333333333333,2.63854999939601,NA,2.63854999939601
"thirtyminutes0019#2020-03-07 09:30:00,2020-03-07 09:59:59","thirtyminutes0019","2020-03-07 09:30:00","2020-03-07 09:59:59",1.78333333333333,11613,5839,NA,0.133333333333333,0.0177777876543265,651511,2.21666666666667,588,0.237777909876617,6088.88785046729,0.0446927374301676,0.783333333333333,3142.14893617021,0.104444502469168,0.597765363128492,0.262569832402235,147681,113,2.21666666666667,2.21666666666667,117,2.21666666666667,1650.99227052576,588,1,0.283333333333333,0.0949720670391061,3361.1700745905,0.0377777987654438 "thirtyminutes0019#2020-03-07 09:30:00,2020-03-07 09:59:59","thirtyminutes0019","2020-03-07 09:30:00","2020-03-07 09:59:59",5839,0.104444502469168,3361.1700745905,0.0377777987654438,0.237777909876617,0.0446927374301676,113,651511,588,0.283333333333333,147681,0.262569832402235,0.133333333333333,117,0.0177777876543265,1,11613,6088.88785046729,0.783333333333333,0.0949720670391061,588,3142.14893617021,0.597765363128492,2.21666666666667,2.21666666666667,1650.99227052576,1.78333333333333,2.21666666666667,NA,2.21666666666667
"thirtyminutes0019#2020-10-31 09:30:00,2020-10-31 09:59:59","thirtyminutes0019","2020-10-31 09:30:00","2020-10-31 09:59:59",1.78333333333333,11613,5839,NA,0.133333333333333,0.0177777876543265,651511,2.21666666666667,588,0.237777909876617,6088.88785046729,0.0446927374301676,0.783333333333333,3142.14893617021,0.104444502469168,0.597765363128492,0.262569832402235,147681,113,2.21666666666667,2.21666666666667,117,2.21666666666667,1650.99227052576,588,1,0.283333333333333,0.0949720670391061,3361.1700745905,0.0377777987654438 "thirtyminutes0019#2020-10-31 09:30:00,2020-10-31 09:59:59","thirtyminutes0019","2020-10-31 09:30:00","2020-10-31 09:59:59",5839,0.104444502469168,3361.1700745905,0.0377777987654438,0.237777909876617,0.0446927374301676,113,651511,588,0.283333333333333,147681,0.262569832402235,0.133333333333333,117,0.0177777876543265,1,11613,6088.88785046729,0.783333333333333,0.0949720670391061,588,3142.14893617021,0.597765363128492,2.21666666666667,2.21666666666667,1650.99227052576,1.78333333333333,2.21666666666667,NA,2.21666666666667
"thirtyminutes0021#2020-03-06 10:30:00,2020-03-06 10:59:59","thirtyminutes0021","2020-03-06 10:30:00","2020-03-06 10:59:59",1.35,11825,5031,NA,0.183333333333333,0.0244444580246989,474758,1.66509999831518,656,0.180000100000056,5861.20987654321,0.092436974789916,0.333333333333333,3153.05,0.0444444691358162,0.680672268907563,0.168067226890756,63061,381,1.66509999831518,1.66509999831518,13,1.66509999831518,1392.35402617672,656,1,0.116666666666667,0.0588235294117647,3158.11819251611,0.0155555641975357 "thirtyminutes0021#2020-03-06 10:30:00,2020-03-06 10:59:59","thirtyminutes0021","2020-03-06 10:30:00","2020-03-06 10:59:59",5031,0.0444444691358162,3158.11819251611,0.0155555641975357,0.180000100000056,0.092436974789916,381,474758,656,0.116666666666667,63061,0.168067226890756,0.183333333333333,13,0.0244444580246989,1,11825,5861.20987654321,0.333333333333333,0.0588235294117647,656,3153.05,0.680672268907563,1.66509999831518,1.66509999831518,1392.35402617672,1.35,1.66509999831518,NA,1.66509999831518
"thirtyminutes0021#2020-10-30 10:30:00,2020-10-30 10:59:59","thirtyminutes0021","2020-10-30 10:30:00","2020-10-30 10:59:59",1.35,11825,5031,NA,0.183333333333333,0.0244444580246989,474758,1.66509999831518,656,0.180000100000056,5861.20987654321,0.092436974789916,0.333333333333333,3153.05,0.0444444691358162,0.680672268907563,0.168067226890756,63061,381,1.66509999831518,1.66509999831518,13,1.66509999831518,1392.35402617672,656,1,0.116666666666667,0.0588235294117647,3158.11819251611,0.0155555641975357 "thirtyminutes0021#2020-10-30 10:30:00,2020-10-30 10:59:59","thirtyminutes0021","2020-10-30 10:30:00","2020-10-30 10:59:59",5031,0.0444444691358162,3158.11819251611,0.0155555641975357,0.180000100000056,0.092436974789916,381,474758,656,0.116666666666667,63061,0.168067226890756,0.183333333333333,13,0.0244444580246989,1,11825,5861.20987654321,0.333333333333333,0.0588235294117647,656,3153.05,0.680672268907563,1.66509999831518,1.66509999831518,1392.35402617672,1.35,1.66509999831518,NA,1.66509999831518
"thirtyminutes0023#2020-03-09 11:30:00,2020-03-09 11:59:59","thirtyminutes0023","2020-03-09 11:30:00","2020-03-09 11:59:59",2.15,11822,5698,NA,0.1,0.0133333407407449,781135,2.51666666666667,697,0.286666825926014,6055.31007751938,0.0335195530726257,0.566666666666667,3105.64705882353,0.0755555975308875,0.720670391061452,0.189944134078212,105592,152,2.51666666666667,2.51666666666667,228,2.51666666666667,1584.74442796332,697,1,0.166666666666667,0.0558659217877095,3171.49771105479,0.0222222345679081 "thirtyminutes0023#2020-03-09 11:30:00,2020-03-09 11:59:59","thirtyminutes0023","2020-03-09 11:30:00","2020-03-09 11:59:59",5698,0.0755555975308875,3171.49771105479,0.0222222345679081,0.286666825926014,0.0335195530726257,152,781135,697,0.166666666666667,105592,0.189944134078212,0.1,228,0.0133333407407449,1,11822,6055.31007751938,0.566666666666667,0.0558659217877095,697,3105.64705882353,0.720670391061452,2.51666666666667,2.51666666666667,1584.74442796332,2.15,2.51666666666667,NA,2.51666666666667
"thirtyminutes0023#2020-11-02 11:30:00,2020-11-02 11:59:59","thirtyminutes0023","2020-11-02 11:30:00","2020-11-02 11:59:59",2.15,11822,5698,NA,0.1,0.0133333407407449,781135,2.51666666666667,697,0.286666825926014,6055.31007751938,0.0335195530726257,0.566666666666667,3105.64705882353,0.0755555975308875,0.720670391061452,0.189944134078212,105592,152,2.51666666666667,2.51666666666667,228,2.51666666666667,1584.74442796332,697,1,0.166666666666667,0.0558659217877095,3171.49771105479,0.0222222345679081 "thirtyminutes0023#2020-11-02 11:30:00,2020-11-02 11:59:59","thirtyminutes0023","2020-11-02 11:30:00","2020-11-02 11:59:59",5698,0.0755555975308875,3171.49771105479,0.0222222345679081,0.286666825926014,0.0335195530726257,152,781135,697,0.166666666666667,105592,0.189944134078212,0.1,228,0.0133333407407449,1,11822,6055.31007751938,0.566666666666667,0.0558659217877095,697,3105.64705882353,0.720670391061452,2.51666666666667,2.51666666666667,1584.74442796332,2.15,2.51666666666667,NA,2.51666666666667
"thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59","thirtyminutes0024","2020-03-06 12:00:00","2020-03-06 12:29:59",2.16666666666667,11960,5769,NA,0.0833333333333333,0.011111117283954,775191,0,NA,0.288889049382805,5963.00769230769,0.0277777777777778,0.65,3277.66666666667,0.0866667148148416,0.722222222222222,0.216666666666667,127829,18,0,0,29,0,1878.36515329762,NA,0,0.1,0.0333333333333333,3542.32880412442,0.0133333407407449 "thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59","thirtyminutes0024","2020-03-06 12:00:00","2020-03-06 12:29:59",5769,0.0866667148148416,3542.32880412442,0.0133333407407449,0.288889049382805,0.0277777777777778,18,775191,NA,0.1,127829,0.216666666666667,0.0833333333333333,29,0.011111117283954,NA,11960,5963.00769230769,0.65,0.0333333333333333,NA,3277.66666666667,0.722222222222222,NA,NA,1878.36515329762,2.16666666666667,0,NA,0
"thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59","thirtyminutes0024","2020-03-08 12:00:00","2020-03-08 12:29:59",2.26666666666667,11740,5725,NA,0.0666666666666667,0.00888889382716324,829461,0,NA,0.30222239012355,6098.97794117647,0.0222222222222222,0.466666666666667,2520.14285714286,0.0622222567901427,0.755555555555556,0.155555555555556,70564,26,0,0,41,0,1499.05198966709,NA,0,0.2,0.0666666666666667,3360.43147023957,0.0266666814814897 "thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59","thirtyminutes0024","2020-03-08 12:00:00","2020-03-08 12:29:59",5725,0.0622222567901427,3360.43147023957,0.0266666814814897,0.30222239012355,0.0222222222222222,26,829461,NA,0.2,70564,0.155555555555556,0.0666666666666667,41,0.00888889382716324,NA,11740,6098.97794117647,0.466666666666667,0.0666666666666667,NA,2520.14285714286,0.755555555555556,NA,NA,1499.05198966709,2.26666666666667,0,NA,0
"thirtyminutes0024#2020-03-09 12:00:00,2020-03-09 12:29:59","thirtyminutes0024","2020-03-09 12:00:00","2020-03-09 12:29:59",1.5,11740,5725,NA,0.0166666666666667,0.00222222345679081,569829,0,NA,0.200000111111173,6331.43333333333,0.00833333333333333,0.333333333333333,2893.45,0.0444444691358162,0.75,0.166666666666667,57869,52,0,0,538,0,1474.51517366503,NA,0,0.15,0.075,3334.14120152182,0.0200000111111173 "thirtyminutes0024#2020-03-09 12:00:00,2020-03-09 12:29:59","thirtyminutes0024","2020-03-09 12:00:00","2020-03-09 12:29:59",5725,0.0444444691358162,3334.14120152182,0.0200000111111173,0.200000111111173,0.00833333333333333,52,569829,NA,0.15,57869,0.166666666666667,0.0166666666666667,538,0.00222222345679081,NA,11740,6331.43333333333,0.333333333333333,0.075,NA,2893.45,0.75,NA,NA,1474.51517366503,1.5,0,NA,0
"thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59","thirtyminutes0024","2020-10-30 12:00:00","2020-10-30 12:29:59",2.16666666666667,11960,5769,NA,0.0833333333333333,0.011111117283954,775191,0,NA,0.288889049382805,5963.00769230769,0.0277777777777778,0.65,3277.66666666667,0.0866667148148416,0.722222222222222,0.216666666666667,127829,18,0,0,29,0,1878.36515329762,NA,0,0.1,0.0333333333333333,3542.32880412442,0.0133333407407449 "thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59","thirtyminutes0024","2020-10-30 12:00:00","2020-10-30 12:29:59",5769,0.0866667148148416,3542.32880412442,0.0133333407407449,0.288889049382805,0.0277777777777778,18,775191,NA,0.1,127829,0.216666666666667,0.0833333333333333,29,0.011111117283954,NA,11960,5963.00769230769,0.65,0.0333333333333333,NA,3277.66666666667,0.722222222222222,NA,NA,1878.36515329762,2.16666666666667,0,NA,0
"thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59","thirtyminutes0024","2020-11-01 12:00:00","2020-11-01 12:29:59",2.26666666666667,11740,5725,NA,0.0666666666666667,0.00888889382716324,829461,0,NA,0.30222239012355,6098.97794117647,0.0222222222222222,0.466666666666667,2520.14285714286,0.0622222567901427,0.755555555555556,0.155555555555556,70564,26,0,0,41,0,1499.05198966709,NA,0,0.2,0.0666666666666667,3360.43147023957,0.0266666814814897 "thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59","thirtyminutes0024","2020-11-01 12:00:00","2020-11-01 12:29:59",5725,0.0622222567901427,3360.43147023957,0.0266666814814897,0.30222239012355,0.0222222222222222,26,829461,NA,0.2,70564,0.155555555555556,0.0666666666666667,41,0.00888889382716324,NA,11740,6098.97794117647,0.466666666666667,0.0666666666666667,NA,2520.14285714286,0.755555555555556,NA,NA,1499.05198966709,2.26666666666667,0,NA,0
"thirtyminutes0024#2020-11-02 12:00:00,2020-11-02 12:29:59","thirtyminutes0024","2020-11-02 12:00:00","2020-11-02 12:29:59",1.5,11740,5725,NA,0.0166666666666667,0.00222222345679081,569829,0,NA,0.200000111111173,6331.43333333333,0.00833333333333333,0.333333333333333,2893.45,0.0444444691358162,0.75,0.166666666666667,57869,52,0,0,538,0,1474.51517366503,NA,0,0.15,0.075,3334.14120152182,0.0200000111111173 "thirtyminutes0024#2020-11-02 12:00:00,2020-11-02 12:29:59","thirtyminutes0024","2020-11-02 12:00:00","2020-11-02 12:29:59",5725,0.0444444691358162,3334.14120152182,0.0200000111111173,0.200000111111173,0.00833333333333333,52,569829,NA,0.15,57869,0.166666666666667,0.0166666666666667,538,0.00222222345679081,NA,11740,6331.43333333333,0.333333333333333,0.075,NA,2893.45,0.75,NA,NA,1474.51517366503,1.5,0,NA,0
"thirtyminutes0027#2020-03-07 13:30:00,2020-03-07 13:59:59","thirtyminutes0027","2020-03-07 13:30:00","2020-03-07 13:59:59",1.76666666666667,11849,5973,NA,0.133333333333333,0.0177777876543265,653815,1.96666666666667,830,0.235555686419826,6168.06603773585,0.0509554140127388,0.566666666666667,3166.08823529412,0.0755555975308875,0.67515923566879,0.21656050955414,107647,397,1.96666666666667,1.96666666666667,173,1.96666666666667,1862.66987214178,830,1,0.15,0.0573248407643312,3582.47817995912,0.0200000111111173 "thirtyminutes0027#2020-03-07 13:30:00,2020-03-07 13:59:59","thirtyminutes0027","2020-03-07 13:30:00","2020-03-07 13:59:59",5973,0.0755555975308875,3582.47817995912,0.0200000111111173,0.235555686419826,0.0509554140127388,397,653815,830,0.15,107647,0.21656050955414,0.133333333333333,173,0.0177777876543265,1,11849,6168.06603773585,0.566666666666667,0.0573248407643312,830,3166.08823529412,0.67515923566879,1.96666666666667,1.96666666666667,1862.66987214178,1.76666666666667,1.96666666666667,NA,1.96666666666667
"thirtyminutes0027#2020-10-31 13:30:00,2020-10-31 13:59:59","thirtyminutes0027","2020-10-31 13:30:00","2020-10-31 13:59:59",1.76666666666667,11849,5973,NA,0.133333333333333,0.0177777876543265,653815,1.96666666666667,830,0.235555686419826,6168.06603773585,0.0509554140127388,0.566666666666667,3166.08823529412,0.0755555975308875,0.67515923566879,0.21656050955414,107647,397,1.96666666666667,1.96666666666667,173,1.96666666666667,1862.66987214178,830,1,0.15,0.0573248407643312,3582.47817995912,0.0200000111111173 "thirtyminutes0027#2020-10-31 13:30:00,2020-10-31 13:59:59","thirtyminutes0027","2020-10-31 13:30:00","2020-10-31 13:59:59",5973,0.0755555975308875,3582.47817995912,0.0200000111111173,0.235555686419826,0.0509554140127388,397,653815,830,0.15,107647,0.21656050955414,0.133333333333333,173,0.0177777876543265,1,11849,6168.06603773585,0.566666666666667,0.0573248407643312,830,3166.08823529412,0.67515923566879,1.96666666666667,1.96666666666667,1862.66987214178,1.76666666666667,1.96666666666667,NA,1.96666666666667
"thirtyminutes0033#2020-03-08 16:30:00,2020-03-08 16:59:59","thirtyminutes0033","2020-03-08 16:30:00","2020-03-08 16:59:59",1.21666666666667,11994,5896,NA,0.116666666666667,0.0155555641975357,416257,0,NA,0.162222312345729,5702.15068493151,0.0630630630630631,0.45,2901.03703703704,0.0600000333333519,0.657657657657658,0.243243243243243,78328,266,0,0,130,0,1602.42608089401,NA,0,0.0666666666666667,0.036036036036036,3393.60065937523,0.00888889382716324 "thirtyminutes0033#2020-03-08 16:30:00,2020-03-08 16:59:59","thirtyminutes0033","2020-03-08 16:30:00","2020-03-08 16:59:59",5896,0.0600000333333519,3393.60065937523,0.00888889382716324,0.162222312345729,0.0630630630630631,266,416257,NA,0.0666666666666667,78328,0.243243243243243,0.116666666666667,130,0.0155555641975357,NA,11994,5702.15068493151,0.45,0.036036036036036,NA,2901.03703703704,0.657657657657658,NA,NA,1602.42608089401,1.21666666666667,0,NA,0
"thirtyminutes0033#2020-11-01 16:30:00,2020-11-01 16:59:59","thirtyminutes0033","2020-11-01 16:30:00","2020-11-01 16:59:59",1.21666666666667,11994,5896,NA,0.116666666666667,0.0155555641975357,416257,0,NA,0.162222312345729,5702.15068493151,0.0630630630630631,0.45,2901.03703703704,0.0600000333333519,0.657657657657658,0.243243243243243,78328,266,0,0,130,0,1602.42608089401,NA,0,0.0666666666666667,0.036036036036036,3393.60065937523,0.00888889382716324 "thirtyminutes0033#2020-11-01 16:30:00,2020-11-01 16:59:59","thirtyminutes0033","2020-11-01 16:30:00","2020-11-01 16:59:59",5896,0.0600000333333519,3393.60065937523,0.00888889382716324,0.162222312345729,0.0630630630630631,266,416257,NA,0.0666666666666667,78328,0.243243243243243,0.116666666666667,130,0.0155555641975357,NA,11994,5702.15068493151,0.45,0.036036036036036,NA,2901.03703703704,0.657657657657658,NA,NA,1602.42608089401,1.21666666666667,0,NA,0
"thirtyminutes0034#2020-03-06 17:00:00,2020-03-06 17:29:59","thirtyminutes0034","2020-03-06 17:00:00","2020-03-06 17:29:59",2,11869,5880,NA,0.15,0.0200000111111173,727058,3.96938333511353,1032,0.266666814814897,6058.81666666667,0.0502793296089385,0.666666666666667,2927.775,0.0888889382716324,0.670391061452514,0.223463687150838,117111,53,3.96938333511353,3.96938333511353,15,3.96938333511353,1645.55094799155,1032,1,0.166666666666667,0.0558659217877095,3842.84937829441,0.0222222345679081 "thirtyminutes0034#2020-03-06 17:00:00,2020-03-06 17:29:59","thirtyminutes0034","2020-03-06 17:00:00","2020-03-06 17:29:59",5880,0.0888889382716324,3842.84937829441,0.0222222345679081,0.266666814814897,0.0502793296089385,53,727058,1032,0.166666666666667,117111,0.223463687150838,0.15,15,0.0200000111111173,1,11869,6058.81666666667,0.666666666666667,0.0558659217877095,1032,2927.775,0.670391061452514,3.96938333511353,3.96938333511353,1645.55094799155,2,3.96938333511353,NA,3.96938333511353
"thirtyminutes0034#2020-03-07 17:00:00,2020-03-07 17:29:59","thirtyminutes0034","2020-03-07 17:00:00","2020-03-07 17:29:59",1.3,11958,5801,NA,0.1,0.0133333407407449,505175,1.35,1024,0.173333429629683,6476.60256410256,0.0504201680672269,0.5,2970.2,0.0666667037037243,0.65546218487395,0.252100840336134,89106,116,1.35,1.35,255,1.35,1714.36781149888,1024,1,0.0833333333333333,0.0420168067226891,3468.7579061419,0.011111117283954 "thirtyminutes0034#2020-03-07 17:00:00,2020-03-07 17:29:59","thirtyminutes0034","2020-03-07 17:00:00","2020-03-07 17:29:59",5801,0.0666667037037243,3468.7579061419,0.011111117283954,0.173333429629683,0.0504201680672269,116,505175,1024,0.0833333333333333,89106,0.252100840336134,0.1,255,0.0133333407407449,1,11958,6476.60256410256,0.5,0.0420168067226891,1024,2970.2,0.65546218487395,1.35,1.35,1714.36781149888,1.3,1.35,NA,1.35
"thirtyminutes0034#2020-03-09 17:00:00,2020-03-09 17:29:59","thirtyminutes0034","2020-03-09 17:00:00","2020-03-09 17:29:59",1.2,11984,5965,NA,0.1,0.0133333407407449,429521,5.23333333333333,1022,0.160000088888938,5965.56944444444,0.0555555555555556,0.383333333333333,3560.69565217391,0.0511111395061886,0.666666666666667,0.212962962962963,81896,61,5.23333333333333,5.23333333333333,155,5.23333333333333,1939.29432889161,1022,1,0.116666666666667,0.0648148148148148,3728.39862851838,0.0155555641975357 "thirtyminutes0034#2020-03-09 17:00:00,2020-03-09 17:29:59","thirtyminutes0034","2020-03-09 17:00:00","2020-03-09 17:29:59",5965,0.0511111395061886,3728.39862851838,0.0155555641975357,0.160000088888938,0.0555555555555556,61,429521,1022,0.116666666666667,81896,0.212962962962963,0.1,155,0.0133333407407449,1,11984,5965.56944444444,0.383333333333333,0.0648148148148148,1022,3560.69565217391,0.666666666666667,5.23333333333333,5.23333333333333,1939.29432889161,1.2,5.23333333333333,NA,5.23333333333333
"thirtyminutes0034#2020-10-30 17:00:00,2020-10-30 17:29:59","thirtyminutes0034","2020-10-30 17:00:00","2020-10-30 17:29:59",2,11869,5880,NA,0.15,0.0200000111111173,727058,3.96938333511353,1032,0.266666814814897,6058.81666666667,0.0502793296089385,0.666666666666667,2927.775,0.0888889382716324,0.670391061452514,0.223463687150838,117111,53,3.96938333511353,3.96938333511353,15,3.96938333511353,1645.55094799155,1032,1,0.166666666666667,0.0558659217877095,3842.84937829441,0.0222222345679081 "thirtyminutes0034#2020-10-30 17:00:00,2020-10-30 17:29:59","thirtyminutes0034","2020-10-30 17:00:00","2020-10-30 17:29:59",5880,0.0888889382716324,3842.84937829441,0.0222222345679081,0.266666814814897,0.0502793296089385,53,727058,1032,0.166666666666667,117111,0.223463687150838,0.15,15,0.0200000111111173,1,11869,6058.81666666667,0.666666666666667,0.0558659217877095,1032,2927.775,0.670391061452514,3.96938333511353,3.96938333511353,1645.55094799155,2,3.96938333511353,NA,3.96938333511353
"thirtyminutes0034#2020-10-31 17:00:00,2020-10-31 17:29:59","thirtyminutes0034","2020-10-31 17:00:00","2020-10-31 17:29:59",1.3,11958,5801,NA,0.1,0.0133333407407449,505175,1.35,1024,0.173333429629683,6476.60256410256,0.0504201680672269,0.5,2970.2,0.0666667037037243,0.65546218487395,0.252100840336134,89106,116,1.35,1.35,255,1.35,1714.36781149888,1024,1,0.0833333333333333,0.0420168067226891,3468.7579061419,0.011111117283954 "thirtyminutes0034#2020-10-31 17:00:00,2020-10-31 17:29:59","thirtyminutes0034","2020-10-31 17:00:00","2020-10-31 17:29:59",5801,0.0666667037037243,3468.7579061419,0.011111117283954,0.173333429629683,0.0504201680672269,116,505175,1024,0.0833333333333333,89106,0.252100840336134,0.1,255,0.0133333407407449,1,11958,6476.60256410256,0.5,0.0420168067226891,1024,2970.2,0.65546218487395,1.35,1.35,1714.36781149888,1.3,1.35,NA,1.35
"thirtyminutes0034#2020-11-02 17:00:00,2020-11-02 17:29:59","thirtyminutes0034","2020-11-02 17:00:00","2020-11-02 17:29:59",1.2,11984,5965,NA,0.1,0.0133333407407449,429521,5.23333333333333,1022,0.160000088888938,5965.56944444444,0.0555555555555556,0.383333333333333,3560.69565217391,0.0511111395061886,0.666666666666667,0.212962962962963,81896,61,5.23333333333333,5.23333333333333,155,5.23333333333333,1939.29432889161,1022,1,0.116666666666667,0.0648148148148148,3728.39862851838,0.0155555641975357 "thirtyminutes0034#2020-11-02 17:00:00,2020-11-02 17:29:59","thirtyminutes0034","2020-11-02 17:00:00","2020-11-02 17:29:59",5965,0.0511111395061886,3728.39862851838,0.0155555641975357,0.160000088888938,0.0555555555555556,61,429521,1022,0.116666666666667,81896,0.212962962962963,0.1,155,0.0133333407407449,1,11984,5965.56944444444,0.383333333333333,0.0648148148148148,1022,3560.69565217391,0.666666666666667,5.23333333333333,5.23333333333333,1939.29432889161,1.2,5.23333333333333,NA,5.23333333333333
"thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59","thirtyminutes0036","2020-03-06 18:00:00","2020-03-06 18:29:59",0.266666666666667,9865,5414,NA,0,0,106737,0,NA,0.0355555753086529,6671.0625,0,0.0333333333333333,5165.5,0.00444444691358162,0.888888888888889,0.111111111111111,10331,4917,0,0,795,0,351.432070249714,NA,0,0,0,2425.13151447504,0 "thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59","thirtyminutes0036","2020-03-06 18:00:00","2020-03-06 18:29:59",5414,0.00444444691358162,2425.13151447504,NA,0.0355555753086529,NA,4917,106737,NA,NA,10331,0.111111111111111,NA,795,NA,NA,9865,6671.0625,0.0333333333333333,NA,NA,5165.5,0.888888888888889,NA,NA,351.432070249714,0.266666666666667,0,NA,0
"thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59","thirtyminutes0036","2020-10-30 18:00:00","2020-10-30 18:29:59",0.266666666666667,9865,5414,NA,0,0,106737,0,NA,0.0355555753086529,6671.0625,0,0.0333333333333333,5165.5,0.00444444691358162,0.888888888888889,0.111111111111111,10331,4917,0,0,795,0,351.432070249714,NA,0,0,0,2425.13151447504,0 "thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59","thirtyminutes0036","2020-10-30 18:00:00","2020-10-30 18:29:59",5414,0.00444444691358162,2425.13151447504,NA,0.0355555753086529,NA,4917,106737,NA,NA,10331,0.111111111111111,NA,795,NA,NA,9865,6671.0625,0.0333333333333333,NA,NA,5165.5,0.888888888888889,NA,NA,351.432070249714,0.266666666666667,0,NA,0
"thirtyminutes0039#2020-03-08 19:30:00,2020-03-08 19:59:59","thirtyminutes0039","2020-03-08 19:30:00","2020-03-08 19:59:59",2.1,11872,5791,NA,0.0666666666666667,0.00888889382716324,737899,0,NA,0.280000155555642,5856.34126984127,0.0223463687150838,0.716666666666667,3215.46511627907,0.0955556086420048,0.70391061452514,0.240223463687151,138265,344,0,0,65,0,1685.61227181609,NA,0,0.1,0.0335195530726257,3586.7682415516,0.0133333407407449 "thirtyminutes0039#2020-03-08 19:30:00,2020-03-08 19:59:59","thirtyminutes0039","2020-03-08 19:30:00","2020-03-08 19:59:59",5791,0.0955556086420048,3586.7682415516,0.0133333407407449,0.280000155555642,0.0223463687150838,344,737899,NA,0.1,138265,0.240223463687151,0.0666666666666667,65,0.00888889382716324,NA,11872,5856.34126984127,0.716666666666667,0.0335195530726257,NA,3215.46511627907,0.70391061452514,NA,NA,1685.61227181609,2.1,0,NA,0
"thirtyminutes0039#2020-03-09 19:30:00,2020-03-09 19:59:59","thirtyminutes0039","2020-03-09 19:30:00","2020-03-09 19:59:59",2.1,11872,5791,NA,0.0666666666666667,0.00888889382716324,737899,0,NA,0.280000155555642,5856.34126984127,0.0223463687150838,0.716666666666667,3215.46511627907,0.0955556086420048,0.70391061452514,0.240223463687151,138265,344,0,0,65,0,1685.61227181609,NA,0,0.1,0.0335195530726257,3586.7682415516,0.0133333407407449 "thirtyminutes0039#2020-03-09 19:30:00,2020-03-09 19:59:59","thirtyminutes0039","2020-03-09 19:30:00","2020-03-09 19:59:59",5791,0.0955556086420048,3586.7682415516,0.0133333407407449,0.280000155555642,0.0223463687150838,344,737899,NA,0.1,138265,0.240223463687151,0.0666666666666667,65,0.00888889382716324,NA,11872,5856.34126984127,0.716666666666667,0.0335195530726257,NA,3215.46511627907,0.70391061452514,NA,NA,1685.61227181609,2.1,0,NA,0
"thirtyminutes0039#2020-11-01 19:30:00,2020-11-01 19:59:59","thirtyminutes0039","2020-11-01 19:30:00","2020-11-01 19:59:59",2.1,11872,5791,NA,0.0666666666666667,0.00888889382716324,737899,0,NA,0.280000155555642,5856.34126984127,0.0223463687150838,0.716666666666667,3215.46511627907,0.0955556086420048,0.70391061452514,0.240223463687151,138265,344,0,0,65,0,1685.61227181609,NA,0,0.1,0.0335195530726257,3586.7682415516,0.0133333407407449 "thirtyminutes0039#2020-11-01 19:30:00,2020-11-01 19:59:59","thirtyminutes0039","2020-11-01 19:30:00","2020-11-01 19:59:59",5791,0.0955556086420048,3586.7682415516,0.0133333407407449,0.280000155555642,0.0223463687150838,344,737899,NA,0.1,138265,0.240223463687151,0.0666666666666667,65,0.00888889382716324,NA,11872,5856.34126984127,0.716666666666667,0.0335195530726257,NA,3215.46511627907,0.70391061452514,NA,NA,1685.61227181609,2.1,0,NA,0
"thirtyminutes0039#2020-11-02 19:30:00,2020-11-02 19:59:59","thirtyminutes0039","2020-11-02 19:30:00","2020-11-02 19:59:59",2.1,11872,5791,NA,0.0666666666666667,0.00888889382716324,737899,0,NA,0.280000155555642,5856.34126984127,0.0223463687150838,0.716666666666667,3215.46511627907,0.0955556086420048,0.70391061452514,0.240223463687151,138265,344,0,0,65,0,1685.61227181609,NA,0,0.1,0.0335195530726257,3586.7682415516,0.0133333407407449 "thirtyminutes0039#2020-11-02 19:30:00,2020-11-02 19:59:59","thirtyminutes0039","2020-11-02 19:30:00","2020-11-02 19:59:59",5791,0.0955556086420048,3586.7682415516,0.0133333407407449,0.280000155555642,0.0223463687150838,344,737899,NA,0.1,138265,0.240223463687151,0.0666666666666667,65,0.00888889382716324,NA,11872,5856.34126984127,0.716666666666667,0.0335195530726257,NA,3215.46511627907,0.70391061452514,NA,NA,1685.61227181609,2.1,0,NA,0
"thirtyminutes0040#2020-03-06 20:00:00,2020-03-06 20:29:59","thirtyminutes0040","2020-03-06 20:00:00","2020-03-06 20:29:59",1.01666666666667,11958,5801,NA,0.0833333333333333,0.011111117283954,399842,1.35104999939601,1204,0.135555630864239,6554.7868852459,0.0515463917525773,0.433333333333333,2995.34615384615,0.057777809876561,0.628865979381443,0.268041237113402,77879,116,1.35104999939601,1.35104999939601,255,1.35104999939601,1709.76456723861,1204,1,0.0833333333333333,0.0515463917525773,3593.75383647217,0.011111117283954 "thirtyminutes0040#2020-03-06 20:00:00,2020-03-06 20:29:59","thirtyminutes0040","2020-03-06 20:00:00","2020-03-06 20:29:59",5801,0.057777809876561,3593.75383647217,0.011111117283954,0.135555630864239,0.0515463917525773,116,399842,1204,0.0833333333333333,77879,0.268041237113402,0.0833333333333333,255,0.011111117283954,1,11958,6554.7868852459,0.433333333333333,0.0515463917525773,1204,2995.34615384615,0.628865979381443,1.35104999939601,1.35104999939601,1709.76456723861,1.01666666666667,1.35104999939601,NA,1.35104999939601
"thirtyminutes0040#2020-10-30 20:00:00,2020-10-30 20:29:59","thirtyminutes0040","2020-10-30 20:00:00","2020-10-30 20:29:59",1.01666666666667,11958,5801,NA,0.0833333333333333,0.011111117283954,399842,1.35104999939601,1204,0.135555630864239,6554.7868852459,0.0515463917525773,0.433333333333333,2995.34615384615,0.057777809876561,0.628865979381443,0.268041237113402,77879,116,1.35104999939601,1.35104999939601,255,1.35104999939601,1709.76456723861,1204,1,0.0833333333333333,0.0515463917525773,3593.75383647217,0.011111117283954 "thirtyminutes0040#2020-10-30 20:00:00,2020-10-30 20:29:59","thirtyminutes0040","2020-10-30 20:00:00","2020-10-30 20:29:59",5801,0.057777809876561,3593.75383647217,0.011111117283954,0.135555630864239,0.0515463917525773,116,399842,1204,0.0833333333333333,77879,0.268041237113402,0.0833333333333333,255,0.011111117283954,1,11958,6554.7868852459,0.433333333333333,0.0515463917525773,1204,2995.34615384615,0.628865979381443,1.35104999939601,1.35104999939601,1709.76456723861,1.01666666666667,1.35104999939601,NA,1.35104999939601
"thirtyminutes0042#2020-03-07 21:00:00,2020-03-07 21:29:59","thirtyminutes0042","2020-03-07 21:00:00","2020-03-07 21:29:59",0.2,11957,4987,NA,0.0166666666666667,0.00222222345679081,94436,0,NA,0.0266666814814897,7869.66666666667,0.05,0.116666666666667,3017.85714285714,0.0155555641975357,0.6,0.35,21125,592,0,0,1967,0,1779.34242803078,NA,0,0,0,3169.33937289872,0 "thirtyminutes0042#2020-03-07 21:00:00,2020-03-07 21:29:59","thirtyminutes0042","2020-03-07 21:00:00","2020-03-07 21:29:59",4987,0.0155555641975357,3169.33937289872,NA,0.0266666814814897,0.05,592,94436,NA,NA,21125,0.35,0.0166666666666667,1967,0.00222222345679081,NA,11957,7869.66666666667,0.116666666666667,NA,NA,3017.85714285714,0.6,NA,NA,1779.34242803078,0.2,0,NA,0
"thirtyminutes0042#2020-10-31 21:00:00,2020-10-31 21:29:59","thirtyminutes0042","2020-10-31 21:00:00","2020-10-31 21:29:59",0.2,11957,4987,NA,0.0166666666666667,0.00222222345679081,94436,0,NA,0.0266666814814897,7869.66666666667,0.05,0.116666666666667,3017.85714285714,0.0155555641975357,0.6,0.35,21125,592,0,0,1967,0,1779.34242803078,NA,0,0,0,3169.33937289872,0 "thirtyminutes0042#2020-10-31 21:00:00,2020-10-31 21:29:59","thirtyminutes0042","2020-10-31 21:00:00","2020-10-31 21:29:59",4987,0.0155555641975357,3169.33937289872,NA,0.0266666814814897,0.05,592,94436,NA,NA,21125,0.35,0.0166666666666667,1967,0.00222222345679081,NA,11957,7869.66666666667,0.116666666666667,NA,NA,3017.85714285714,0.6,NA,NA,1779.34242803078,0.2,0,NA,0

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_conversation_rapids_voicemaxenergy phone_conversation_rapids_voiceexpectedfraction phone_conversation_rapids_noisesdenergy phone_conversation_rapids_silenceexpectedfraction phone_conversation_rapids_noiseexpectedfraction phone_conversation_rapids_unknownsensedfraction phone_conversation_rapids_voiceminenergy phone_conversation_rapids_noisesumenergy phone_conversation_rapids_timefirstconversation phone_conversation_rapids_minutessilence phone_conversation_rapids_voicesumenergy phone_conversation_rapids_voicesensedfraction phone_conversation_rapids_minutesunknown phone_conversation_rapids_noiseminenergy phone_conversation_rapids_unknownexpectedfraction phone_conversation_rapids_countconversation phone_conversation_rapids_noisemaxenergy phone_conversation_rapids_noiseavgenergy phone_conversation_rapids_minutesvoice phone_conversation_rapids_silencesensedfraction phone_conversation_rapids_timelastconversation phone_conversation_rapids_voiceavgenergy phone_conversation_rapids_noisesensedfraction phone_conversation_rapids_avgconversationduration phone_conversation_rapids_minconversationduration phone_conversation_rapids_voicesdenergy phone_conversation_rapids_minutesnoise phone_conversation_rapids_maxconversationduration phone_conversation_rapids_sdconversationduration phone_conversation_rapids_sumconversationduration
2 thirtyminutes0002#2020-03-06 01:00:00,2020-03-06 01:29:59 thirtyminutes0002 2020-03-06 01:00:00 2020-03-06 01:29:59 4981 0.0244444580246989 3611.99537094887 0.00666667037037243 0.0911111617284232 0.0677966101694915 61 254984 73 0.05 29248 0.186440677966102 0.0666666666666667 559 0.00888889382716324 1 11769 6219.12195121951 0.183333333333333 0.0508474576271186 73 2658.90909090909 0.694915254237288 0.718016664187113 0.718016664187113 1686.32716010538 0.683333333333333 0.718016664187113 NA 0.718016664187113
3 thirtyminutes0002#2020-03-07 01:00:00,2020-03-07 01:29:59 thirtyminutes0002 2020-03-07 01:00:00 2020-03-07 01:29:59 4981 0.0244444580246989 3611.99537094887 0.00666667037037243 0.0911111617284232 0.0677966101694915 61 254984 73 0.05 29248 0.186440677966102 0.0666666666666667 559 0.00888889382716324 1 11769 6219.12195121951 0.183333333333333 0.0508474576271186 73 2658.90909090909 0.694915254237288 1666.66666666667 1666.66666666667 1686.32716010538 0.683333333333333 1666.66666666667 NA 1666.66666666667
4 thirtyminutes0002#2020-03-09 01:00:00,2020-03-09 01:29:59 thirtyminutes0002 2020-03-09 01:00:00 2020-03-09 01:29:59 5859 0.0800000444444691 3538.5841001422 0.0177777876543265 0.27555570864206 0.0614525139664804 69 738382 77 0.133333333333333 116954 0.201117318435754 0.183333333333333 267 0.0244444580246989 1 11967 5954.6935483871 0.6 0.0446927374301676 77 3248.72222222222 0.692737430167598 2.28333333333333 2.28333333333333 1789.91462862835 2.06666666666667 2.28333333333333 NA 2.28333333333333
5 thirtyminutes0002#2020-10-30 01:00:00,2020-10-30 01:29:59 thirtyminutes0002 2020-10-30 01:00:00 2020-10-30 01:29:59 4981 0.0244444580246989 3611.99537094887 0.00666667037037243 0.0911111617284232 0.0677966101694915 61 254984 73 0.05 29248 0.186440677966102 0.0666666666666667 559 0.00888889382716324 1 11769 6219.12195121951 0.183333333333333 0.0508474576271186 73 2658.90909090909 0.694915254237288 0.718016664187113 0.718016664187113 1686.32716010538 0.683333333333333 0.718016664187113 NA 0.718016664187113
6 thirtyminutes0002#2020-10-31 01:00:00,2020-10-31 01:29:59 thirtyminutes0002 2020-10-31 01:00:00 2020-10-31 01:29:59 4981 0.0244444580246989 3611.99537094887 0.00666667037037243 0.0911111617284232 0.0677966101694915 61 254984 73 0.05 29248 0.186440677966102 0.0666666666666667 559 0.00888889382716324 1 11769 6219.12195121951 0.183333333333333 0.0508474576271186 73 2658.90909090909 0.694915254237288 1666.66666666667 1666.66666666667 1686.32716010538 0.683333333333333 1666.66666666667 NA 1666.66666666667
7 thirtyminutes0002#2020-11-02 01:00:00,2020-11-02 01:29:59 thirtyminutes0002 2020-11-02 01:00:00 2020-11-02 01:29:59 5859 0.0800000444444691 3538.5841001422 0.0177777876543265 0.27555570864206 0.0614525139664804 69 738382 77 0.133333333333333 116954 0.201117318435754 0.183333333333333 267 0.0244444580246989 1 11967 5954.6935483871 0.6 0.0446927374301676 77 3248.72222222222 0.692737430167598 2.28333333333333 2.28333333333333 1789.91462862835 2.06666666666667 2.28333333333333 NA 2.28333333333333
8 thirtyminutes0006#2020-03-08 03:00:00,2020-03-08 03:29:59 thirtyminutes0006 2020-03-08 03:00:00 2020-03-08 03:29:59 5755 0.0711111506173059 3780.64082011366 0.0244444580246989 0.277777932098851 0.0666666666666667 241 761172 NA 0.183333333333333 102083 0.177777777777778 0.2 32 0.0266666814814897 0 NA 11986 6089.376 0.533333333333333 0.0611111111111111 NA 3190.09375 0.694444444444445 0 NA 0 NA 1794.397668001 2.08333333333333 0 NA 0
9 thirtyminutes0006#2020-11-01 03:00:00,2020-11-01 03:29:59 thirtyminutes0006 2020-11-01 03:00:00 2020-11-01 03:29:59 5755 0.0711111506173059 3780.64082011366 0.0244444580246989 0.277777932098851 0.0666666666666667 241 761172 NA 0.183333333333333 102083 0.177777777777778 0.2 32 0.0266666814814897 0 NA 11986 6089.376 0.533333333333333 0.0611111111111111 NA 3190.09375 0.694444444444445 0 NA 0 NA 1794.397668001 2.08333333333333 0 NA 0
10 thirtyminutes0011#2020-03-06 05:30:00,2020-03-06 05:59:59 thirtyminutes0011 2020-03-06 05:30:00 2020-03-06 05:59:59 5914 0.122222290123495 3479.48376517021 0.0266666814814897 0.468889149382861 0.0702341137123746 159 1375453 359 0.2 158276 0.183946488294314 0.35 50 0.046666692592607 1 11958 6518.7345971564 0.916666666666667 0.040133779264214 359 2877.74545454545 0.705685618729097 10.0464333335559 10.0464333335559 1828.46456753952 3.51666666666667 10.0464333335559 NA 10.0464333335559
11 thirtyminutes0011#2020-03-07 05:30:00,2020-03-07 05:59:59 thirtyminutes0011 2020-03-07 05:30:00 2020-03-07 05:59:59 5914 0.0733333740740967 3404.5491974115 0.0200000111111173 0.282222379012433 0.0558659217877095 267 843439 359 0.15 95430 0.184357541899441 0.166666666666667 79 0.0222222345679081 1 11931 6641.25196850394 0.55 0.0502793296089385 359 2891.81818181818 0.709497206703911 10.05 10.05 1835.10548836003 2.11666666666667 10.05 NA 10.05
12 thirtyminutes0011#2020-10-30 05:30:00,2020-10-30 05:59:59 thirtyminutes0011 2020-10-30 05:30:00 2020-10-30 05:59:59 5914 0.122222290123495 3479.48376517021 0.0266666814814897 0.468889149382861 0.0702341137123746 159 1375453 359 0.2 158276 0.183946488294314 0.35 50 0.046666692592607 1 11958 6518.7345971564 0.916666666666667 0.040133779264214 359 2877.74545454545 0.705685618729097 10.0464333335559 10.0464333335559 1828.46456753952 3.51666666666667 10.0464333335559 NA 10.0464333335559
13 thirtyminutes0011#2020-10-31 05:30:00,2020-10-31 05:59:59 thirtyminutes0011 2020-10-31 05:30:00 2020-10-31 05:59:59 5914 0.0733333740740967 3404.5491974115 0.0200000111111173 0.282222379012433 0.0558659217877095 267 843439 359 0.15 95430 0.184357541899441 0.166666666666667 79 0.0222222345679081 1 11931 6641.25196850394 0.55 0.0502793296089385 359 2891.81818181818 0.709497206703911 10.05 10.05 1835.10548836003 2.11666666666667 10.05 NA 10.05
14 thirtyminutes0012#2020-03-06 06:00:00,2020-03-06 06:29:59 thirtyminutes0012 2020-03-06 06:00:00 2020-03-06 06:29:59 5494 0.0177777876543265 3486.62605971776 0.00222222345679081 0.0733333740740967 0.0454545454545455 18 205237 NA 0.0166666666666667 18261 0.181818181818182 0.0333333333333333 470 0.00444444691358162 0 NA 11468 6219.30303030303 0.133333333333333 0.0227272727272727 NA 2282.625 0.75 0 NA 0 NA 1954.05621629179 0.55 0 NA 0
15 thirtyminutes0012#2020-03-07 06:00:00,2020-03-07 06:29:59 thirtyminutes0012 2020-03-07 06:00:00 2020-03-07 06:29:59 5494 0.0177777876543265 3486.62605971776 0.00222222345679081 0.0733333740740967 0.0454545454545455 18 205237 NA 0.0166666666666667 18261 0.181818181818182 0.0333333333333333 470 0.00444444691358162 0 NA 11468 6219.30303030303 0.133333333333333 0.0227272727272727 NA 2282.625 0.75 0 NA 0 NA 1954.05621629179 0.55 0 NA 0
16 thirtyminutes0012#2020-03-09 06:00:00,2020-03-09 06:29:59 thirtyminutes0012 2020-03-09 06:00:00 2020-03-09 06:29:59 5858 0.128888960493867 3654.61971833146 0.046666692592607 0.475555819753233 0.0608974358974359 241 1329661 NA 0.35 193236 0.185897435897436 0.316666666666667 32 0.0422222456790254 0 NA 11986 6213.36915887851 0.966666666666667 0.0673076923076923 NA 3331.65517241379 0.685897435897436 0 NA 0 NA 1766.04139102042 3.56666666666667 0 NA 0
17 thirtyminutes0012#2020-10-30 06:00:00,2020-10-30 06:29:59 thirtyminutes0012 2020-10-30 06:00:00 2020-10-30 06:29:59 5494 0.0177777876543265 3486.62605971776 0.00222222345679081 0.0733333740740967 0.0454545454545455 18 205237 NA 0.0166666666666667 18261 0.181818181818182 0.0333333333333333 470 0.00444444691358162 0 NA 11468 6219.30303030303 0.133333333333333 0.0227272727272727 NA 2282.625 0.75 0 NA 0 NA 1954.05621629179 0.55 0 NA 0
18 thirtyminutes0012#2020-10-31 06:00:00,2020-10-31 06:29:59 thirtyminutes0012 2020-10-31 06:00:00 2020-10-31 06:29:59 5494 0.0177777876543265 3486.62605971776 0.00222222345679081 0.0733333740740967 0.0454545454545455 18 205237 NA 0.0166666666666667 18261 0.181818181818182 0.0333333333333333 470 0.00444444691358162 0 NA 11468 6219.30303030303 0.133333333333333 0.0227272727272727 NA 2282.625 0.75 0 NA 0 NA 1954.05621629179 0.55 0 NA 0
19 thirtyminutes0012#2020-11-02 06:00:00,2020-11-02 06:29:59 thirtyminutes0012 2020-11-02 06:00:00 2020-11-02 06:29:59 5858 0.128888960493867 3654.61971833146 0.046666692592607 0.475555819753233 0.0608974358974359 241 1329661 NA 0.35 193236 0.185897435897436 0.316666666666667 32 0.0422222456790254 0 NA 11986 6213.36915887851 0.966666666666667 0.0673076923076923 NA 3331.65517241379 0.685897435897436 0 NA 0 NA 1766.04139102042 3.56666666666667 0 NA 0
20 thirtyminutes0013#2020-03-07 06:30:00,2020-03-07 06:59:59 thirtyminutes0013 2020-03-07 06:30:00 2020-03-07 06:59:59 5974 0.0711111506173059 3609.22901886686 0.0177777876543265 0.166666759259311 0.0336134453781513 648 459919 392 0.133333333333333 98678 0.26890756302521 0.0666666666666667 222 0.00888889382716324 1 11920 6132.25333333333 0.533333333333333 0.0672268907563025 392 3083.6875 0.630252100840336 1.33333333333333 1.33333333333333 1557.76443284144 1.25 1.33333333333333 NA 1.33333333333333
21 thirtyminutes0013#2020-10-31 06:30:00,2020-10-31 06:59:59 thirtyminutes0013 2020-10-31 06:30:00 2020-10-31 06:59:59 5974 0.0711111506173059 3609.22901886686 0.0177777876543265 0.166666759259311 0.0336134453781513 648 459919 392 0.133333333333333 98678 0.26890756302521 0.0666666666666667 222 0.00888889382716324 1 11920 6132.25333333333 0.533333333333333 0.0672268907563025 392 3083.6875 0.630252100840336 1.33333333333333 1.33333333333333 1557.76443284144 1.25 1.33333333333333 NA 1.33333333333333
22 thirtyminutes0017#2020-03-08 08:30:00,2020-03-08 08:59:59 thirtyminutes0017 2020-03-08 08:30:00 2020-03-08 08:59:59 5305 0.0333333518518621 3485.30422491981 0.00444444691358162 0.0911111617284232 0.0169491525423729 39 282076 539 0.0333333333333333 49970 0.254237288135593 0.0166666666666667 352 0.00222222345679081 1 11807 6879.90243902439 0.25 0.0338983050847458 539 3331.33333333333 0.694915254237288 2.63854999939601 2.63854999939601 1835.82486974683 0.683333333333333 2.63854999939601 NA 2.63854999939601
23 thirtyminutes0017#2020-11-01 08:30:00,2020-11-01 08:59:59 thirtyminutes0017 2020-11-01 08:30:00 2020-11-01 08:59:59 5305 0.0333333518518621 3485.30422491981 0.00444444691358162 0.0911111617284232 0.0169491525423729 39 282076 539 0.0333333333333333 49970 0.254237288135593 0.0166666666666667 352 0.00222222345679081 1 11807 6879.90243902439 0.25 0.0338983050847458 539 3331.33333333333 0.694915254237288 2.63854999939601 2.63854999939601 1835.82486974683 0.683333333333333 2.63854999939601 NA 2.63854999939601
24 thirtyminutes0019#2020-03-07 09:30:00,2020-03-07 09:59:59 thirtyminutes0019 2020-03-07 09:30:00 2020-03-07 09:59:59 5839 0.104444502469168 3361.1700745905 0.0377777987654438 0.237777909876617 0.0446927374301676 113 651511 588 0.283333333333333 147681 0.262569832402235 0.133333333333333 117 0.0177777876543265 1 11613 6088.88785046729 0.783333333333333 0.0949720670391061 588 3142.14893617021 0.597765363128492 2.21666666666667 2.21666666666667 1650.99227052576 1.78333333333333 2.21666666666667 NA 2.21666666666667
25 thirtyminutes0019#2020-10-31 09:30:00,2020-10-31 09:59:59 thirtyminutes0019 2020-10-31 09:30:00 2020-10-31 09:59:59 5839 0.104444502469168 3361.1700745905 0.0377777987654438 0.237777909876617 0.0446927374301676 113 651511 588 0.283333333333333 147681 0.262569832402235 0.133333333333333 117 0.0177777876543265 1 11613 6088.88785046729 0.783333333333333 0.0949720670391061 588 3142.14893617021 0.597765363128492 2.21666666666667 2.21666666666667 1650.99227052576 1.78333333333333 2.21666666666667 NA 2.21666666666667
26 thirtyminutes0021#2020-03-06 10:30:00,2020-03-06 10:59:59 thirtyminutes0021 2020-03-06 10:30:00 2020-03-06 10:59:59 5031 0.0444444691358162 3158.11819251611 0.0155555641975357 0.180000100000056 0.092436974789916 381 474758 656 0.116666666666667 63061 0.168067226890756 0.183333333333333 13 0.0244444580246989 1 11825 5861.20987654321 0.333333333333333 0.0588235294117647 656 3153.05 0.680672268907563 1.66509999831518 1.66509999831518 1392.35402617672 1.35 1.66509999831518 NA 1.66509999831518
27 thirtyminutes0021#2020-10-30 10:30:00,2020-10-30 10:59:59 thirtyminutes0021 2020-10-30 10:30:00 2020-10-30 10:59:59 5031 0.0444444691358162 3158.11819251611 0.0155555641975357 0.180000100000056 0.092436974789916 381 474758 656 0.116666666666667 63061 0.168067226890756 0.183333333333333 13 0.0244444580246989 1 11825 5861.20987654321 0.333333333333333 0.0588235294117647 656 3153.05 0.680672268907563 1.66509999831518 1.66509999831518 1392.35402617672 1.35 1.66509999831518 NA 1.66509999831518
28 thirtyminutes0023#2020-03-09 11:30:00,2020-03-09 11:59:59 thirtyminutes0023 2020-03-09 11:30:00 2020-03-09 11:59:59 5698 0.0755555975308875 3171.49771105479 0.0222222345679081 0.286666825926014 0.0335195530726257 152 781135 697 0.166666666666667 105592 0.189944134078212 0.1 228 0.0133333407407449 1 11822 6055.31007751938 0.566666666666667 0.0558659217877095 697 3105.64705882353 0.720670391061452 2.51666666666667 2.51666666666667 1584.74442796332 2.15 2.51666666666667 NA 2.51666666666667
29 thirtyminutes0023#2020-11-02 11:30:00,2020-11-02 11:59:59 thirtyminutes0023 2020-11-02 11:30:00 2020-11-02 11:59:59 5698 0.0755555975308875 3171.49771105479 0.0222222345679081 0.286666825926014 0.0335195530726257 152 781135 697 0.166666666666667 105592 0.189944134078212 0.1 228 0.0133333407407449 1 11822 6055.31007751938 0.566666666666667 0.0558659217877095 697 3105.64705882353 0.720670391061452 2.51666666666667 2.51666666666667 1584.74442796332 2.15 2.51666666666667 NA 2.51666666666667
30 thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59 thirtyminutes0024 2020-03-06 12:00:00 2020-03-06 12:29:59 5769 0.0866667148148416 3542.32880412442 0.0133333407407449 0.288889049382805 0.0277777777777778 18 775191 NA 0.1 127829 0.216666666666667 0.0833333333333333 29 0.011111117283954 0 NA 11960 5963.00769230769 0.65 0.0333333333333333 NA 3277.66666666667 0.722222222222222 0 NA 0 NA 1878.36515329762 2.16666666666667 0 NA 0
31 thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59 thirtyminutes0024 2020-03-08 12:00:00 2020-03-08 12:29:59 5725 0.0622222567901427 3360.43147023957 0.0266666814814897 0.30222239012355 0.0222222222222222 26 829461 NA 0.2 70564 0.155555555555556 0.0666666666666667 41 0.00888889382716324 0 NA 11740 6098.97794117647 0.466666666666667 0.0666666666666667 NA 2520.14285714286 0.755555555555556 0 NA 0 NA 1499.05198966709 2.26666666666667 0 NA 0
32 thirtyminutes0024#2020-03-09 12:00:00,2020-03-09 12:29:59 thirtyminutes0024 2020-03-09 12:00:00 2020-03-09 12:29:59 5725 0.0444444691358162 3334.14120152182 0.0200000111111173 0.200000111111173 0.00833333333333333 52 569829 NA 0.15 57869 0.166666666666667 0.0166666666666667 538 0.00222222345679081 0 NA 11740 6331.43333333333 0.333333333333333 0.075 NA 2893.45 0.75 0 NA 0 NA 1474.51517366503 1.5 0 NA 0
33 thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59 thirtyminutes0024 2020-10-30 12:00:00 2020-10-30 12:29:59 5769 0.0866667148148416 3542.32880412442 0.0133333407407449 0.288889049382805 0.0277777777777778 18 775191 NA 0.1 127829 0.216666666666667 0.0833333333333333 29 0.011111117283954 0 NA 11960 5963.00769230769 0.65 0.0333333333333333 NA 3277.66666666667 0.722222222222222 0 NA 0 NA 1878.36515329762 2.16666666666667 0 NA 0
34 thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59 thirtyminutes0024 2020-11-01 12:00:00 2020-11-01 12:29:59 5725 0.0622222567901427 3360.43147023957 0.0266666814814897 0.30222239012355 0.0222222222222222 26 829461 NA 0.2 70564 0.155555555555556 0.0666666666666667 41 0.00888889382716324 0 NA 11740 6098.97794117647 0.466666666666667 0.0666666666666667 NA 2520.14285714286 0.755555555555556 0 NA 0 NA 1499.05198966709 2.26666666666667 0 NA 0
35 thirtyminutes0024#2020-11-02 12:00:00,2020-11-02 12:29:59 thirtyminutes0024 2020-11-02 12:00:00 2020-11-02 12:29:59 5725 0.0444444691358162 3334.14120152182 0.0200000111111173 0.200000111111173 0.00833333333333333 52 569829 NA 0.15 57869 0.166666666666667 0.0166666666666667 538 0.00222222345679081 0 NA 11740 6331.43333333333 0.333333333333333 0.075 NA 2893.45 0.75 0 NA 0 NA 1474.51517366503 1.5 0 NA 0
36 thirtyminutes0027#2020-03-07 13:30:00,2020-03-07 13:59:59 thirtyminutes0027 2020-03-07 13:30:00 2020-03-07 13:59:59 5973 0.0755555975308875 3582.47817995912 0.0200000111111173 0.235555686419826 0.0509554140127388 397 653815 830 0.15 107647 0.21656050955414 0.133333333333333 173 0.0177777876543265 1 11849 6168.06603773585 0.566666666666667 0.0573248407643312 830 3166.08823529412 0.67515923566879 1.96666666666667 1.96666666666667 1862.66987214178 1.76666666666667 1.96666666666667 NA 1.96666666666667
37 thirtyminutes0027#2020-10-31 13:30:00,2020-10-31 13:59:59 thirtyminutes0027 2020-10-31 13:30:00 2020-10-31 13:59:59 5973 0.0755555975308875 3582.47817995912 0.0200000111111173 0.235555686419826 0.0509554140127388 397 653815 830 0.15 107647 0.21656050955414 0.133333333333333 173 0.0177777876543265 1 11849 6168.06603773585 0.566666666666667 0.0573248407643312 830 3166.08823529412 0.67515923566879 1.96666666666667 1.96666666666667 1862.66987214178 1.76666666666667 1.96666666666667 NA 1.96666666666667
38 thirtyminutes0033#2020-03-08 16:30:00,2020-03-08 16:59:59 thirtyminutes0033 2020-03-08 16:30:00 2020-03-08 16:59:59 5896 0.0600000333333519 3393.60065937523 0.00888889382716324 0.162222312345729 0.0630630630630631 266 416257 NA 0.0666666666666667 78328 0.243243243243243 0.116666666666667 130 0.0155555641975357 0 NA 11994 5702.15068493151 0.45 0.036036036036036 NA 2901.03703703704 0.657657657657658 0 NA 0 NA 1602.42608089401 1.21666666666667 0 NA 0
39 thirtyminutes0033#2020-11-01 16:30:00,2020-11-01 16:59:59 thirtyminutes0033 2020-11-01 16:30:00 2020-11-01 16:59:59 5896 0.0600000333333519 3393.60065937523 0.00888889382716324 0.162222312345729 0.0630630630630631 266 416257 NA 0.0666666666666667 78328 0.243243243243243 0.116666666666667 130 0.0155555641975357 0 NA 11994 5702.15068493151 0.45 0.036036036036036 NA 2901.03703703704 0.657657657657658 0 NA 0 NA 1602.42608089401 1.21666666666667 0 NA 0
40 thirtyminutes0034#2020-03-06 17:00:00,2020-03-06 17:29:59 thirtyminutes0034 2020-03-06 17:00:00 2020-03-06 17:29:59 5880 0.0888889382716324 3842.84937829441 0.0222222345679081 0.266666814814897 0.0502793296089385 53 727058 1032 0.166666666666667 117111 0.223463687150838 0.15 15 0.0200000111111173 1 11869 6058.81666666667 0.666666666666667 0.0558659217877095 1032 2927.775 0.670391061452514 3.96938333511353 3.96938333511353 1645.55094799155 2 3.96938333511353 NA 3.96938333511353
41 thirtyminutes0034#2020-03-07 17:00:00,2020-03-07 17:29:59 thirtyminutes0034 2020-03-07 17:00:00 2020-03-07 17:29:59 5801 0.0666667037037243 3468.7579061419 0.011111117283954 0.173333429629683 0.0504201680672269 116 505175 1024 0.0833333333333333 89106 0.252100840336134 0.1 255 0.0133333407407449 1 11958 6476.60256410256 0.5 0.0420168067226891 1024 2970.2 0.65546218487395 1.35 1.35 1714.36781149888 1.3 1.35 NA 1.35
42 thirtyminutes0034#2020-03-09 17:00:00,2020-03-09 17:29:59 thirtyminutes0034 2020-03-09 17:00:00 2020-03-09 17:29:59 5965 0.0511111395061886 3728.39862851838 0.0155555641975357 0.160000088888938 0.0555555555555556 61 429521 1022 0.116666666666667 81896 0.212962962962963 0.1 155 0.0133333407407449 1 11984 5965.56944444444 0.383333333333333 0.0648148148148148 1022 3560.69565217391 0.666666666666667 5.23333333333333 5.23333333333333 1939.29432889161 1.2 5.23333333333333 NA 5.23333333333333
43 thirtyminutes0034#2020-10-30 17:00:00,2020-10-30 17:29:59 thirtyminutes0034 2020-10-30 17:00:00 2020-10-30 17:29:59 5880 0.0888889382716324 3842.84937829441 0.0222222345679081 0.266666814814897 0.0502793296089385 53 727058 1032 0.166666666666667 117111 0.223463687150838 0.15 15 0.0200000111111173 1 11869 6058.81666666667 0.666666666666667 0.0558659217877095 1032 2927.775 0.670391061452514 3.96938333511353 3.96938333511353 1645.55094799155 2 3.96938333511353 NA 3.96938333511353
44 thirtyminutes0034#2020-10-31 17:00:00,2020-10-31 17:29:59 thirtyminutes0034 2020-10-31 17:00:00 2020-10-31 17:29:59 5801 0.0666667037037243 3468.7579061419 0.011111117283954 0.173333429629683 0.0504201680672269 116 505175 1024 0.0833333333333333 89106 0.252100840336134 0.1 255 0.0133333407407449 1 11958 6476.60256410256 0.5 0.0420168067226891 1024 2970.2 0.65546218487395 1.35 1.35 1714.36781149888 1.3 1.35 NA 1.35
45 thirtyminutes0034#2020-11-02 17:00:00,2020-11-02 17:29:59 thirtyminutes0034 2020-11-02 17:00:00 2020-11-02 17:29:59 5965 0.0511111395061886 3728.39862851838 0.0155555641975357 0.160000088888938 0.0555555555555556 61 429521 1022 0.116666666666667 81896 0.212962962962963 0.1 155 0.0133333407407449 1 11984 5965.56944444444 0.383333333333333 0.0648148148148148 1022 3560.69565217391 0.666666666666667 5.23333333333333 5.23333333333333 1939.29432889161 1.2 5.23333333333333 NA 5.23333333333333
46 thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59 thirtyminutes0036 2020-03-06 18:00:00 2020-03-06 18:29:59 5414 0.00444444691358162 2425.13151447504 0 NA 0.0355555753086529 0 NA 4917 106737 NA 0 NA 10331 0.111111111111111 0 NA 795 0 NA 0 NA 9865 6671.0625 0.0333333333333333 0 NA NA 5165.5 0.888888888888889 0 NA 0 NA 351.432070249714 0.266666666666667 0 NA 0
47 thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59 thirtyminutes0036 2020-10-30 18:00:00 2020-10-30 18:29:59 5414 0.00444444691358162 2425.13151447504 0 NA 0.0355555753086529 0 NA 4917 106737 NA 0 NA 10331 0.111111111111111 0 NA 795 0 NA 0 NA 9865 6671.0625 0.0333333333333333 0 NA NA 5165.5 0.888888888888889 0 NA 0 NA 351.432070249714 0.266666666666667 0 NA 0
48 thirtyminutes0039#2020-03-08 19:30:00,2020-03-08 19:59:59 thirtyminutes0039 2020-03-08 19:30:00 2020-03-08 19:59:59 5791 0.0955556086420048 3586.7682415516 0.0133333407407449 0.280000155555642 0.0223463687150838 344 737899 NA 0.1 138265 0.240223463687151 0.0666666666666667 65 0.00888889382716324 0 NA 11872 5856.34126984127 0.716666666666667 0.0335195530726257 NA 3215.46511627907 0.70391061452514 0 NA 0 NA 1685.61227181609 2.1 0 NA 0
49 thirtyminutes0039#2020-03-09 19:30:00,2020-03-09 19:59:59 thirtyminutes0039 2020-03-09 19:30:00 2020-03-09 19:59:59 5791 0.0955556086420048 3586.7682415516 0.0133333407407449 0.280000155555642 0.0223463687150838 344 737899 NA 0.1 138265 0.240223463687151 0.0666666666666667 65 0.00888889382716324 0 NA 11872 5856.34126984127 0.716666666666667 0.0335195530726257 NA 3215.46511627907 0.70391061452514 0 NA 0 NA 1685.61227181609 2.1 0 NA 0
50 thirtyminutes0039#2020-11-01 19:30:00,2020-11-01 19:59:59 thirtyminutes0039 2020-11-01 19:30:00 2020-11-01 19:59:59 5791 0.0955556086420048 3586.7682415516 0.0133333407407449 0.280000155555642 0.0223463687150838 344 737899 NA 0.1 138265 0.240223463687151 0.0666666666666667 65 0.00888889382716324 0 NA 11872 5856.34126984127 0.716666666666667 0.0335195530726257 NA 3215.46511627907 0.70391061452514 0 NA 0 NA 1685.61227181609 2.1 0 NA 0
51 thirtyminutes0039#2020-11-02 19:30:00,2020-11-02 19:59:59 thirtyminutes0039 2020-11-02 19:30:00 2020-11-02 19:59:59 5791 0.0955556086420048 3586.7682415516 0.0133333407407449 0.280000155555642 0.0223463687150838 344 737899 NA 0.1 138265 0.240223463687151 0.0666666666666667 65 0.00888889382716324 0 NA 11872 5856.34126984127 0.716666666666667 0.0335195530726257 NA 3215.46511627907 0.70391061452514 0 NA 0 NA 1685.61227181609 2.1 0 NA 0
52 thirtyminutes0040#2020-03-06 20:00:00,2020-03-06 20:29:59 thirtyminutes0040 2020-03-06 20:00:00 2020-03-06 20:29:59 5801 0.057777809876561 3593.75383647217 0.011111117283954 0.135555630864239 0.0515463917525773 116 399842 1204 0.0833333333333333 77879 0.268041237113402 0.0833333333333333 255 0.011111117283954 1 11958 6554.7868852459 0.433333333333333 0.0515463917525773 1204 2995.34615384615 0.628865979381443 1.35104999939601 1.35104999939601 1709.76456723861 1.01666666666667 1.35104999939601 NA 1.35104999939601
53 thirtyminutes0040#2020-10-30 20:00:00,2020-10-30 20:29:59 thirtyminutes0040 2020-10-30 20:00:00 2020-10-30 20:29:59 5801 0.057777809876561 3593.75383647217 0.011111117283954 0.135555630864239 0.0515463917525773 116 399842 1204 0.0833333333333333 77879 0.268041237113402 0.0833333333333333 255 0.011111117283954 1 11958 6554.7868852459 0.433333333333333 0.0515463917525773 1204 2995.34615384615 0.628865979381443 1.35104999939601 1.35104999939601 1709.76456723861 1.01666666666667 1.35104999939601 NA 1.35104999939601
54 thirtyminutes0042#2020-03-07 21:00:00,2020-03-07 21:29:59 thirtyminutes0042 2020-03-07 21:00:00 2020-03-07 21:29:59 4987 0.0155555641975357 3169.33937289872 0 NA 0.0266666814814897 0.05 592 94436 NA 0 NA 21125 0.35 0.0166666666666667 1967 0.00222222345679081 0 NA 11957 7869.66666666667 0.116666666666667 0 NA NA 3017.85714285714 0.6 0 NA 0 NA 1779.34242803078 0.2 0 NA 0
55 thirtyminutes0042#2020-10-31 21:00:00,2020-10-31 21:29:59 thirtyminutes0042 2020-10-31 21:00:00 2020-10-31 21:29:59 4987 0.0155555641975357 3169.33937289872 0 NA 0.0266666814814897 0.05 592 94436 NA 0 NA 21125 0.35 0.0166666666666667 1967 0.00222222345679081 0 NA 11957 7869.66666666667 0.116666666666667 0 NA NA 3017.85714285714 0.6 0 NA 0 NA 1779.34242803078 0.2 0 NA 0

View File

@ -1,15 +1,15 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_keyboard_rapids_totalkeyboardtouches","phone_keyboard_rapids_maxtextlength","phone_keyboard_rapids_averagesessionlength","phone_keyboard_rapids_sessioncount","phone_keyboard_rapids_changeintextlengthequaltominusone","phone_keyboard_rapids_lastmessagelength","phone_keyboard_rapids_changeintextlengthlessthanminusone","phone_keyboard_rapids_averageinterkeydelay","phone_keyboard_rapids_changeintextlengthmorethanone","phone_keyboard_rapids_changeintextlengthequaltoone" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_keyboard_rapids_changeintextlengthlessthanminusone","phone_keyboard_rapids_changeintextlengthequaltominusone","phone_keyboard_rapids_maxtextlength","phone_keyboard_rapids_lastmessagelength","phone_keyboard_rapids_changeintextlengthmorethanone","phone_keyboard_rapids_totalkeyboardtouches","phone_keyboard_rapids_sessioncount","phone_keyboard_rapids_averageinterkeydelay","phone_keyboard_rapids_changeintextlengthequaltoone","phone_keyboard_rapids_averagesessionlength"
"thirtyminutes0008#2020-03-09 04:00:00,2020-03-09 04:29:59","thirtyminutes0008","2020-03-09 04:00:00","2020-03-09 04:29:59",1,5.5,1000,3,0,5,0,1000,0,4 "thirtyminutes0008#2020-03-09 04:00:00,2020-03-09 04:29:59","thirtyminutes0008","2020-03-09 04:00:00","2020-03-09 04:29:59",NA,NA,5.5,5,NA,1,3,1000,4,1000
"thirtyminutes0008#2020-11-02 04:00:00,2020-11-02 04:29:59","thirtyminutes0008","2020-11-02 04:00:00","2020-11-02 04:29:59",1.33333333333333,5.33333333333333,500,2,0,5.33333333333333,0,1000,0,3 "thirtyminutes0008#2020-11-02 04:00:00,2020-11-02 04:29:59","thirtyminutes0008","2020-11-02 04:00:00","2020-11-02 04:29:59",NA,NA,5.33333333333333,5.33333333333333,NA,1.33333333333333,2,1000,3,500
"thirtyminutes0011#2020-03-08 05:30:00,2020-03-08 05:59:59","thirtyminutes0011","2020-03-08 05:30:00","2020-03-08 05:59:59",1,1,0,1,0,NA,0,NA,0,0 "thirtyminutes0011#2020-03-08 05:30:00,2020-03-08 05:59:59","thirtyminutes0011","2020-03-08 05:30:00","2020-03-08 05:59:59",NA,NA,1,NA,NA,1,1,NA,NA,NA
"thirtyminutes0011#2020-11-01 05:30:00,2020-11-01 05:59:59","thirtyminutes0011","2020-11-01 05:30:00","2020-11-01 05:59:59",1,1,0,0,0,1,0,NA,0,0 "thirtyminutes0011#2020-11-01 05:30:00,2020-11-01 05:59:59","thirtyminutes0011","2020-11-01 05:30:00","2020-11-01 05:59:59",NA,NA,1,1,NA,1,0,NA,NA,0
"thirtyminutes0012#2020-03-08 06:00:00,2020-03-08 06:29:59","thirtyminutes0012","2020-03-08 06:00:00","2020-03-08 06:29:59",1,2,0,1,0,NA,0,NA,0,1 "thirtyminutes0012#2020-03-08 06:00:00,2020-03-08 06:29:59","thirtyminutes0012","2020-03-08 06:00:00","2020-03-08 06:29:59",NA,NA,2,NA,NA,1,1,NA,1,NA
"thirtyminutes0012#2020-11-01 06:00:00,2020-11-01 06:29:59","thirtyminutes0012","2020-11-01 06:00:00","2020-11-01 06:29:59",1,2,0,0,0,2,0,NA,0,1 "thirtyminutes0012#2020-11-01 06:00:00,2020-11-01 06:29:59","thirtyminutes0012","2020-11-01 06:00:00","2020-11-01 06:29:59",NA,NA,2,2,NA,1,0,NA,1,0
"thirtyminutes0023#2020-03-07 11:30:00,2020-03-07 11:59:59","thirtyminutes0023","2020-03-07 11:30:00","2020-03-07 11:59:59",2.75,5.75,1840,3,0,4,0,1117.77777777778,0,4 "thirtyminutes0023#2020-03-07 11:30:00,2020-03-07 11:59:59","thirtyminutes0023","2020-03-07 11:30:00","2020-03-07 11:59:59",NA,NA,5.75,4,NA,2.75,3,1117.77777777778,4,1840
"thirtyminutes0023#2020-10-31 11:30:00,2020-10-31 11:59:59","thirtyminutes0023","2020-10-31 11:30:00","2020-10-31 11:59:59",3.66666666666667,5.33333333333333,1840,2,0,4.33333333333333,0,1117.77777777778,0,3 "thirtyminutes0023#2020-10-31 11:30:00,2020-10-31 11:59:59","thirtyminutes0023","2020-10-31 11:30:00","2020-10-31 11:59:59",NA,NA,5.33333333333333,4.33333333333333,NA,3.66666666666667,2,1117.77777777778,3,1840
"thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59","thirtyminutes0024","2020-03-06 12:00:00","2020-03-06 12:29:59",2.5,21,4000,3,0,21,0,1583.33333333333,0,4 "thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59","thirtyminutes0024","2020-03-06 12:00:00","2020-03-06 12:29:59",NA,NA,21,21,NA,2.5,3,1583.33333333333,4,4000
"thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59","thirtyminutes0024","2020-03-08 12:00:00","2020-03-08 12:29:59",1,3,0,1,0,3,0,NA,0,1 "thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59","thirtyminutes0024","2020-03-08 12:00:00","2020-03-08 12:29:59",NA,NA,3,3,NA,1,1,NA,1,NA
"thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59","thirtyminutes0024","2020-10-30 12:00:00","2020-10-30 12:29:59",2.5,21,3666.66666666667,4,0,21,0,1916.66666666667,0,4 "thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59","thirtyminutes0024","2020-10-30 12:00:00","2020-10-30 12:29:59",NA,NA,21,21,NA,2.5,4,1916.66666666667,4,3666.66666666667
"thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59","thirtyminutes0024","2020-11-01 12:00:00","2020-11-01 12:29:59",1,3,0,1,0,3,0,NA,0,1 "thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59","thirtyminutes0024","2020-11-01 12:00:00","2020-11-01 12:29:59",NA,NA,3,3,NA,1,1,NA,1,NA
"thirtyminutes0046#2020-03-08 23:00:00,2020-03-08 23:29:59","thirtyminutes0046","2020-03-08 23:00:00","2020-03-08 23:29:59",4.5,5.5,6519.5,3,1,4.25,0,863.277777777778,1,3 "thirtyminutes0046#2020-03-08 23:00:00,2020-03-08 23:29:59","thirtyminutes0046","2020-03-08 23:00:00","2020-03-08 23:29:59",NA,1,5.5,4.25,1,4.5,3,863.277777777778,3,6519.5
"thirtyminutes0046#2020-11-01 23:00:00,2020-11-01 23:29:59","thirtyminutes0046","2020-11-01 23:00:00","2020-11-01 23:29:59",6,6.33333333333333,4013,3,1,4.66666666666667,0,846.611111111111,1,3 "thirtyminutes0046#2020-11-01 23:00:00,2020-11-01 23:29:59","thirtyminutes0046","2020-11-01 23:00:00","2020-11-01 23:29:59",NA,1,6.33333333333333,4.66666666666667,1,6,3,846.611111111111,3,4013

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_keyboard_rapids_changeintextlengthlessthanminusone phone_keyboard_rapids_changeintextlengthequaltominusone phone_keyboard_rapids_maxtextlength phone_keyboard_rapids_lastmessagelength phone_keyboard_rapids_changeintextlengthmorethanone phone_keyboard_rapids_totalkeyboardtouches phone_keyboard_rapids_sessioncount phone_keyboard_rapids_averageinterkeydelay phone_keyboard_rapids_changeintextlengthequaltoone phone_keyboard_rapids_averagesessionlength
2 thirtyminutes0008#2020-03-09 04:00:00,2020-03-09 04:29:59 thirtyminutes0008 2020-03-09 04:00:00 2020-03-09 04:29:59 0 NA 0 NA 5.5 5 0 NA 1 3 1000 4 1000
3 thirtyminutes0008#2020-11-02 04:00:00,2020-11-02 04:29:59 thirtyminutes0008 2020-11-02 04:00:00 2020-11-02 04:29:59 0 NA 0 NA 5.33333333333333 5.33333333333333 0 NA 1.33333333333333 2 1000 3 500
4 thirtyminutes0011#2020-03-08 05:30:00,2020-03-08 05:59:59 thirtyminutes0011 2020-03-08 05:30:00 2020-03-08 05:59:59 0 NA 0 NA 1 NA 0 NA 1 1 NA 0 NA 0 NA
5 thirtyminutes0011#2020-11-01 05:30:00,2020-11-01 05:59:59 thirtyminutes0011 2020-11-01 05:30:00 2020-11-01 05:59:59 0 NA 0 NA 1 1 0 NA 1 0 NA 0 NA 0
6 thirtyminutes0012#2020-03-08 06:00:00,2020-03-08 06:29:59 thirtyminutes0012 2020-03-08 06:00:00 2020-03-08 06:29:59 0 NA 0 NA 2 NA 0 NA 1 1 NA 1 0 NA
7 thirtyminutes0012#2020-11-01 06:00:00,2020-11-01 06:29:59 thirtyminutes0012 2020-11-01 06:00:00 2020-11-01 06:29:59 0 NA 0 NA 2 2 0 NA 1 0 NA 1 0
8 thirtyminutes0023#2020-03-07 11:30:00,2020-03-07 11:59:59 thirtyminutes0023 2020-03-07 11:30:00 2020-03-07 11:59:59 0 NA 0 NA 5.75 4 0 NA 2.75 3 1117.77777777778 4 1840
9 thirtyminutes0023#2020-10-31 11:30:00,2020-10-31 11:59:59 thirtyminutes0023 2020-10-31 11:30:00 2020-10-31 11:59:59 0 NA 0 NA 5.33333333333333 4.33333333333333 0 NA 3.66666666666667 2 1117.77777777778 3 1840
10 thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59 thirtyminutes0024 2020-03-06 12:00:00 2020-03-06 12:29:59 0 NA 0 NA 21 21 0 NA 2.5 3 1583.33333333333 4 4000
11 thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59 thirtyminutes0024 2020-03-08 12:00:00 2020-03-08 12:29:59 0 NA 0 NA 3 3 0 NA 1 1 NA 1 0 NA
12 thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59 thirtyminutes0024 2020-10-30 12:00:00 2020-10-30 12:29:59 0 NA 0 NA 21 21 0 NA 2.5 4 1916.66666666667 4 3666.66666666667
13 thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59 thirtyminutes0024 2020-11-01 12:00:00 2020-11-01 12:29:59 0 NA 0 NA 3 3 0 NA 1 1 NA 1 0 NA
14 thirtyminutes0046#2020-03-08 23:00:00,2020-03-08 23:29:59 thirtyminutes0046 2020-03-08 23:00:00 2020-03-08 23:29:59 0 NA 1 5.5 4.25 1 4.5 3 863.277777777778 3 6519.5
15 thirtyminutes0046#2020-11-01 23:00:00,2020-11-01 23:29:59 thirtyminutes0046 2020-11-01 23:00:00 2020-11-01 23:29:59 0 NA 1 6.33333333333333 4.66666666666667 1 6 3 846.611111111111 3 4013

View File

@ -1,3 +1,51 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_screen_rapids_countepisodeunlock","phone_screen_rapids_sumdurationunlock","phone_screen_rapids_maxdurationunlock","phone_screen_rapids_mindurationunlock","phone_screen_rapids_avgdurationunlock","phone_screen_rapids_stddurationunlock","phone_screen_rapids_firstuseafter00unlock" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_screen_rapids_countepisodeunlock","phone_screen_rapids_sumdurationunlock","phone_screen_rapids_maxdurationunlock","phone_screen_rapids_mindurationunlock","phone_screen_rapids_avgdurationunlock","phone_screen_rapids_stddurationunlock","phone_screen_rapids_firstuseafter00unlock"
"beforeMarchEvent#2020-03-07 16:00:00,2020-03-08 15:00:00","beforeMarchEvent","2020-03-07 16:00:00","2020-03-08 15:00:00",5,33.0161,19.9996666666667,0.01665,6.60322,7.79378500540477,960 "thirtyminutes0000#2020-03-07 00:00:00,2020-03-07 00:29:59","thirtyminutes0000","2020-03-07 00:00:00","2020-03-07 00:29:59",1,2.8333,2.8333,2.8333,2.8333,NA,17.1833333333333
"beforeNovemberEvent#2020-10-31 16:00:00,2020-11-01 13:00:00","beforeNovemberEvent","2020-10-31 16:00:00","2020-11-01 13:00:00",5,33.0161,19.9996666666667,0.01665,6.60322,7.79378500540477,960 "thirtyminutes0000#2020-10-31 00:00:00,2020-10-31 00:29:59","thirtyminutes0000","2020-10-31 00:00:00","2020-10-31 00:29:59",1,2.8333,2.8333,2.8333,2.8333,NA,17.1833333333333
"thirtyminutes0001#2020-03-08 00:30:00,2020-03-08 00:59:59","thirtyminutes0001","2020-03-08 00:30:00","2020-03-08 00:59:59",1,4.9999,4.9999,4.9999,4.9999,NA,55
"thirtyminutes0002#2020-03-07 01:00:00,2020-03-07 01:29:59","thirtyminutes0002","2020-03-07 01:00:00","2020-03-07 01:29:59",1,2.99995,2.99995,2.99995,2.99995,NA,77.1833333333333
"thirtyminutes0002#2020-03-08 01:00:00,2020-03-08 01:29:59","thirtyminutes0002","2020-03-08 01:00:00","2020-03-08 01:29:59",1,14.99975,14.99975,14.99975,14.99975,NA,60
"thirtyminutes0002#2020-10-31 01:00:00,2020-10-31 01:29:59","thirtyminutes0002","2020-10-31 01:00:00","2020-10-31 01:29:59",1,2.99995,2.99995,2.99995,2.99995,NA,77.1833333333333
"thirtyminutes0003#2020-11-01 01:30:00,2020-11-01 01:59:59","thirtyminutes0003","2020-11-01 01:30:00","2020-11-01 01:59:59",1,4.9999,4.9999,4.9999,4.9999,NA,115
"thirtyminutes0004#2020-11-01 02:00:00,2020-11-01 02:29:59","thirtyminutes0004","2020-11-01 02:00:00","2020-11-01 02:29:59",1,14.99975,14.99975,14.99975,14.99975,NA,120
"thirtyminutes0005#2020-03-06 02:30:00,2020-03-06 02:59:59","thirtyminutes0005","2020-03-06 02:30:00","2020-03-06 02:59:59",1,5.99093333333333,5.99093333333333,5.99093333333333,5.99093333333333,NA,170.5
"thirtyminutes0005#2020-10-30 02:30:00,2020-10-30 02:59:59","thirtyminutes0005","2020-10-30 02:30:00","2020-10-30 02:59:59",1,5.99093333333333,5.99093333333333,5.99093333333333,5.99093333333333,NA,170.5
"thirtyminutes0006#2020-03-09 03:00:00,2020-03-09 03:29:59","thirtyminutes0006","2020-03-09 03:00:00","2020-03-09 03:29:59",1,3.99993333333333,3.99993333333333,3.99993333333333,3.99993333333333,NA,181
"thirtyminutes0006#2020-11-02 03:00:00,2020-11-02 03:29:59","thirtyminutes0006","2020-11-02 03:00:00","2020-11-02 03:29:59",1,3.99993333333333,3.99993333333333,3.99993333333333,3.99993333333333,NA,181
"thirtyminutes0011#2020-03-06 05:30:00,2020-03-06 05:59:59","thirtyminutes0011","2020-03-06 05:30:00","2020-03-06 05:59:59",1,3.13668333333333,3.13668333333333,3.13668333333333,3.13668333333333,NA,356.85
"thirtyminutes0011#2020-10-30 05:30:00,2020-10-30 05:59:59","thirtyminutes0011","2020-10-30 05:30:00","2020-10-30 05:59:59",1,3.13668333333333,3.13668333333333,3.13668333333333,3.13668333333333,NA,356.85
"thirtyminutes0012#2020-03-06 06:00:00,2020-03-06 06:29:59","thirtyminutes0012","2020-03-06 06:00:00","2020-03-06 06:29:59",1,3.85335,3.85335,3.85335,3.85335,NA,360
"thirtyminutes0012#2020-10-30 06:00:00,2020-10-30 06:29:59","thirtyminutes0012","2020-10-30 06:00:00","2020-10-30 06:29:59",1,3.85335,3.85335,3.85335,3.85335,NA,360
"thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59","thirtyminutes0020","2020-03-06 10:00:00","2020-03-06 10:29:59",1,21.6595333333333,21.6595333333333,21.6595333333333,21.6595333333333,NA,600.4
"thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59","thirtyminutes0020","2020-10-30 10:00:00","2020-10-30 10:29:59",1,21.6595333333333,21.6595333333333,21.6595333333333,21.6595333333333,NA,600.4
"thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59","thirtyminutes0023","2020-03-06 11:30:00","2020-03-06 11:59:59",1,2.4361,2.4361,2.4361,2.4361,NA,717.55
"thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59","thirtyminutes0023","2020-10-30 11:30:00","2020-10-30 11:59:59",1,2.4361,2.4361,2.4361,2.4361,NA,717.55
"thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59","thirtyminutes0024","2020-03-06 12:00:00","2020-03-06 12:29:59",1,12.5590166666667,12.5590166666667,12.5590166666667,12.5590166666667,NA,720
"thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59","thirtyminutes0024","2020-10-30 12:00:00","2020-10-30 12:29:59",1,12.5590166666667,12.5590166666667,12.5590166666667,12.5590166666667,NA,720
"thirtyminutes0025#2020-03-07 12:30:00,2020-03-07 12:59:59","thirtyminutes0025","2020-03-07 12:30:00","2020-03-07 12:59:59",1,2.98328333333333,2.98328333333333,2.98328333333333,2.98328333333333,NA,777.016666666667
"thirtyminutes0025#2020-10-31 12:30:00,2020-10-31 12:59:59","thirtyminutes0025","2020-10-31 12:30:00","2020-10-31 12:59:59",1,2.98328333333333,2.98328333333333,2.98328333333333,2.98328333333333,NA,777.016666666667
"thirtyminutes0026#2020-03-07 13:00:00,2020-03-07 13:29:59","thirtyminutes0026","2020-03-07 13:00:00","2020-03-07 13:29:59",1,0.01665,0.01665,0.01665,0.01665,NA,780
"thirtyminutes0026#2020-10-31 13:00:00,2020-10-31 13:29:59","thirtyminutes0026","2020-10-31 13:00:00","2020-10-31 13:29:59",1,0.01665,0.01665,0.01665,0.01665,NA,780
"thirtyminutes0029#2020-03-06 14:30:00,2020-03-06 14:59:59","thirtyminutes0029","2020-03-06 14:30:00","2020-03-06 14:59:59",1,8.95798333333333,8.95798333333333,8.95798333333333,8.95798333333333,NA,891.033333333333
"thirtyminutes0029#2020-03-07 14:30:00,2020-03-07 14:59:59","thirtyminutes0029","2020-03-07 14:30:00","2020-03-07 14:59:59",1,3.99993333333333,3.99993333333333,3.99993333333333,3.99993333333333,NA,888.016666666667
"thirtyminutes0029#2020-10-30 14:30:00,2020-10-30 14:59:59","thirtyminutes0029","2020-10-30 14:30:00","2020-10-30 14:59:59",1,8.95798333333333,8.95798333333333,8.95798333333333,8.95798333333333,NA,891.033333333333
"thirtyminutes0029#2020-10-31 14:30:00,2020-10-31 14:59:59","thirtyminutes0029","2020-10-31 14:30:00","2020-10-31 14:59:59",1,3.99993333333333,3.99993333333333,3.99993333333333,3.99993333333333,NA,888.016666666667
"thirtyminutes0030#2020-03-06 15:00:00,2020-03-06 15:29:59","thirtyminutes0030","2020-03-06 15:00:00","2020-03-06 15:29:59",1,0.0415,0.0415,0.0415,0.0415,NA,900
"thirtyminutes0030#2020-10-30 15:00:00,2020-10-30 15:29:59","thirtyminutes0030","2020-10-30 15:00:00","2020-10-30 15:29:59",1,0.0415,0.0415,0.0415,0.0415,NA,900
"thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59","thirtyminutes0035","2020-03-06 17:30:00","2020-03-06 17:59:59",1,8.54903333333333,8.54903333333333,8.54903333333333,8.54903333333333,NA,1071.45
"thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59","thirtyminutes0035","2020-10-30 17:30:00","2020-10-30 17:59:59",1,8.54903333333333,8.54903333333333,8.54903333333333,8.54903333333333,NA,1071.45
"thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59","thirtyminutes0036","2020-03-06 18:00:00","2020-03-06 18:29:59",1,8.43411666666667,8.43411666666667,8.43411666666667,8.43411666666667,NA,1080
"thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59","thirtyminutes0036","2020-10-30 18:00:00","2020-10-30 18:29:59",1,8.43411666666667,8.43411666666667,8.43411666666667,8.43411666666667,NA,1080
"thirtyminutes0037#2020-03-07 18:30:00,2020-03-07 18:59:59","thirtyminutes0037","2020-03-07 18:30:00","2020-03-07 18:59:59",1,5.9999,5.9999,5.9999,5.9999,NA,1133.01666666667
"thirtyminutes0037#2020-10-31 18:30:00,2020-10-31 18:59:59","thirtyminutes0037","2020-10-31 18:30:00","2020-10-31 18:59:59",1,5.9999,5.9999,5.9999,5.9999,NA,1133.01666666667
"thirtyminutes0041#2020-03-06 20:30:00,2020-03-06 20:59:59","thirtyminutes0041","2020-03-06 20:30:00","2020-03-06 20:59:59",1,17.0195166666667,17.0195166666667,17.0195166666667,17.0195166666667,NA,1242.96666666667
"thirtyminutes0041#2020-10-30 20:30:00,2020-10-30 20:59:59","thirtyminutes0041","2020-10-30 20:30:00","2020-10-30 20:59:59",1,17.0195166666667,17.0195166666667,17.0195166666667,17.0195166666667,NA,1242.96666666667
"thirtyminutes0042#2020-03-06 21:00:00,2020-03-06 21:29:59","thirtyminutes0042","2020-03-06 21:00:00","2020-03-06 21:29:59",1,1.96723333333333,1.96723333333333,1.96723333333333,1.96723333333333,NA,1260
"thirtyminutes0042#2020-03-07 21:00:00,2020-03-07 21:29:59","thirtyminutes0042","2020-03-07 21:00:00","2020-03-07 21:29:59",1,2.99995,2.99995,2.99995,2.99995,NA,1265
"thirtyminutes0042#2020-03-09 21:00:00,2020-03-09 21:29:59","thirtyminutes0042","2020-03-09 21:00:00","2020-03-09 21:29:59",1,24.9995666666667,24.9995666666667,24.9995666666667,24.9995666666667,NA,1265
"thirtyminutes0042#2020-10-30 21:00:00,2020-10-30 21:29:59","thirtyminutes0042","2020-10-30 21:00:00","2020-10-30 21:29:59",1,1.96723333333333,1.96723333333333,1.96723333333333,1.96723333333333,NA,1260
"thirtyminutes0042#2020-10-31 21:00:00,2020-10-31 21:29:59","thirtyminutes0042","2020-10-31 21:00:00","2020-10-31 21:29:59",1,2.99995,2.99995,2.99995,2.99995,NA,1265
"thirtyminutes0042#2020-11-02 21:00:00,2020-11-02 21:29:59","thirtyminutes0042","2020-11-02 21:00:00","2020-11-02 21:29:59",1,24.9995666666667,24.9995666666667,24.9995666666667,24.9995666666667,NA,1265
"thirtyminutes0043#2020-03-09 21:30:00,2020-03-09 21:59:59","thirtyminutes0043","2020-03-09 21:30:00","2020-03-09 21:59:59",1,6.99988333333333,6.99988333333333,6.99988333333333,6.99988333333333,NA,1290
"thirtyminutes0043#2020-11-02 21:30:00,2020-11-02 21:59:59","thirtyminutes0043","2020-11-02 21:30:00","2020-11-02 21:59:59",1,6.99988333333333,6.99988333333333,6.99988333333333,6.99988333333333,NA,1290
"thirtyminutes0044#2020-03-08 22:00:00,2020-03-08 22:29:59","thirtyminutes0044","2020-03-08 22:00:00","2020-03-08 22:29:59",1,2.99995,2.99995,2.99995,2.99995,NA,1322
"thirtyminutes0044#2020-11-01 22:00:00,2020-11-01 22:29:59","thirtyminutes0044","2020-11-01 22:00:00","2020-11-01 22:29:59",1,2.99995,2.99995,2.99995,2.99995,NA,1322

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_screen_rapids_countepisodeunlock phone_screen_rapids_sumdurationunlock phone_screen_rapids_maxdurationunlock phone_screen_rapids_mindurationunlock phone_screen_rapids_avgdurationunlock phone_screen_rapids_stddurationunlock phone_screen_rapids_firstuseafter00unlock
2 beforeMarchEvent#2020-03-07 16:00:00,2020-03-08 15:00:00 thirtyminutes0000#2020-03-07 00:00:00,2020-03-07 00:29:59 beforeMarchEvent thirtyminutes0000 2020-03-07 16:00:00 2020-03-07 00:00:00 2020-03-08 15:00:00 2020-03-07 00:29:59 5 1 33.0161 2.8333 19.9996666666667 2.8333 0.01665 2.8333 6.60322 2.8333 7.79378500540477 NA 960 17.1833333333333
3 beforeNovemberEvent#2020-10-31 16:00:00,2020-11-01 13:00:00 thirtyminutes0000#2020-10-31 00:00:00,2020-10-31 00:29:59 beforeNovemberEvent thirtyminutes0000 2020-10-31 16:00:00 2020-10-31 00:00:00 2020-11-01 13:00:00 2020-10-31 00:29:59 5 1 33.0161 2.8333 19.9996666666667 2.8333 0.01665 2.8333 6.60322 2.8333 7.79378500540477 NA 960 17.1833333333333
4 thirtyminutes0001#2020-03-08 00:30:00,2020-03-08 00:59:59 thirtyminutes0001 2020-03-08 00:30:00 2020-03-08 00:59:59 1 4.9999 4.9999 4.9999 4.9999 NA 55
5 thirtyminutes0002#2020-03-07 01:00:00,2020-03-07 01:29:59 thirtyminutes0002 2020-03-07 01:00:00 2020-03-07 01:29:59 1 2.99995 2.99995 2.99995 2.99995 NA 77.1833333333333
6 thirtyminutes0002#2020-03-08 01:00:00,2020-03-08 01:29:59 thirtyminutes0002 2020-03-08 01:00:00 2020-03-08 01:29:59 1 14.99975 14.99975 14.99975 14.99975 NA 60
7 thirtyminutes0002#2020-10-31 01:00:00,2020-10-31 01:29:59 thirtyminutes0002 2020-10-31 01:00:00 2020-10-31 01:29:59 1 2.99995 2.99995 2.99995 2.99995 NA 77.1833333333333
8 thirtyminutes0003#2020-11-01 01:30:00,2020-11-01 01:59:59 thirtyminutes0003 2020-11-01 01:30:00 2020-11-01 01:59:59 1 4.9999 4.9999 4.9999 4.9999 NA 115
9 thirtyminutes0004#2020-11-01 02:00:00,2020-11-01 02:29:59 thirtyminutes0004 2020-11-01 02:00:00 2020-11-01 02:29:59 1 14.99975 14.99975 14.99975 14.99975 NA 120
10 thirtyminutes0005#2020-03-06 02:30:00,2020-03-06 02:59:59 thirtyminutes0005 2020-03-06 02:30:00 2020-03-06 02:59:59 1 5.99093333333333 5.99093333333333 5.99093333333333 5.99093333333333 NA 170.5
11 thirtyminutes0005#2020-10-30 02:30:00,2020-10-30 02:59:59 thirtyminutes0005 2020-10-30 02:30:00 2020-10-30 02:59:59 1 5.99093333333333 5.99093333333333 5.99093333333333 5.99093333333333 NA 170.5
12 thirtyminutes0006#2020-03-09 03:00:00,2020-03-09 03:29:59 thirtyminutes0006 2020-03-09 03:00:00 2020-03-09 03:29:59 1 3.99993333333333 3.99993333333333 3.99993333333333 3.99993333333333 NA 181
13 thirtyminutes0006#2020-11-02 03:00:00,2020-11-02 03:29:59 thirtyminutes0006 2020-11-02 03:00:00 2020-11-02 03:29:59 1 3.99993333333333 3.99993333333333 3.99993333333333 3.99993333333333 NA 181
14 thirtyminutes0011#2020-03-06 05:30:00,2020-03-06 05:59:59 thirtyminutes0011 2020-03-06 05:30:00 2020-03-06 05:59:59 1 3.13668333333333 3.13668333333333 3.13668333333333 3.13668333333333 NA 356.85
15 thirtyminutes0011#2020-10-30 05:30:00,2020-10-30 05:59:59 thirtyminutes0011 2020-10-30 05:30:00 2020-10-30 05:59:59 1 3.13668333333333 3.13668333333333 3.13668333333333 3.13668333333333 NA 356.85
16 thirtyminutes0012#2020-03-06 06:00:00,2020-03-06 06:29:59 thirtyminutes0012 2020-03-06 06:00:00 2020-03-06 06:29:59 1 3.85335 3.85335 3.85335 3.85335 NA 360
17 thirtyminutes0012#2020-10-30 06:00:00,2020-10-30 06:29:59 thirtyminutes0012 2020-10-30 06:00:00 2020-10-30 06:29:59 1 3.85335 3.85335 3.85335 3.85335 NA 360
18 thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59 thirtyminutes0020 2020-03-06 10:00:00 2020-03-06 10:29:59 1 21.6595333333333 21.6595333333333 21.6595333333333 21.6595333333333 NA 600.4
19 thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59 thirtyminutes0020 2020-10-30 10:00:00 2020-10-30 10:29:59 1 21.6595333333333 21.6595333333333 21.6595333333333 21.6595333333333 NA 600.4
20 thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59 thirtyminutes0023 2020-03-06 11:30:00 2020-03-06 11:59:59 1 2.4361 2.4361 2.4361 2.4361 NA 717.55
21 thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59 thirtyminutes0023 2020-10-30 11:30:00 2020-10-30 11:59:59 1 2.4361 2.4361 2.4361 2.4361 NA 717.55
22 thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59 thirtyminutes0024 2020-03-06 12:00:00 2020-03-06 12:29:59 1 12.5590166666667 12.5590166666667 12.5590166666667 12.5590166666667 NA 720
23 thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59 thirtyminutes0024 2020-10-30 12:00:00 2020-10-30 12:29:59 1 12.5590166666667 12.5590166666667 12.5590166666667 12.5590166666667 NA 720
24 thirtyminutes0025#2020-03-07 12:30:00,2020-03-07 12:59:59 thirtyminutes0025 2020-03-07 12:30:00 2020-03-07 12:59:59 1 2.98328333333333 2.98328333333333 2.98328333333333 2.98328333333333 NA 777.016666666667
25 thirtyminutes0025#2020-10-31 12:30:00,2020-10-31 12:59:59 thirtyminutes0025 2020-10-31 12:30:00 2020-10-31 12:59:59 1 2.98328333333333 2.98328333333333 2.98328333333333 2.98328333333333 NA 777.016666666667
26 thirtyminutes0026#2020-03-07 13:00:00,2020-03-07 13:29:59 thirtyminutes0026 2020-03-07 13:00:00 2020-03-07 13:29:59 1 0.01665 0.01665 0.01665 0.01665 NA 780
27 thirtyminutes0026#2020-10-31 13:00:00,2020-10-31 13:29:59 thirtyminutes0026 2020-10-31 13:00:00 2020-10-31 13:29:59 1 0.01665 0.01665 0.01665 0.01665 NA 780
28 thirtyminutes0029#2020-03-06 14:30:00,2020-03-06 14:59:59 thirtyminutes0029 2020-03-06 14:30:00 2020-03-06 14:59:59 1 8.95798333333333 8.95798333333333 8.95798333333333 8.95798333333333 NA 891.033333333333
29 thirtyminutes0029#2020-03-07 14:30:00,2020-03-07 14:59:59 thirtyminutes0029 2020-03-07 14:30:00 2020-03-07 14:59:59 1 3.99993333333333 3.99993333333333 3.99993333333333 3.99993333333333 NA 888.016666666667
30 thirtyminutes0029#2020-10-30 14:30:00,2020-10-30 14:59:59 thirtyminutes0029 2020-10-30 14:30:00 2020-10-30 14:59:59 1 8.95798333333333 8.95798333333333 8.95798333333333 8.95798333333333 NA 891.033333333333
31 thirtyminutes0029#2020-10-31 14:30:00,2020-10-31 14:59:59 thirtyminutes0029 2020-10-31 14:30:00 2020-10-31 14:59:59 1 3.99993333333333 3.99993333333333 3.99993333333333 3.99993333333333 NA 888.016666666667
32 thirtyminutes0030#2020-03-06 15:00:00,2020-03-06 15:29:59 thirtyminutes0030 2020-03-06 15:00:00 2020-03-06 15:29:59 1 0.0415 0.0415 0.0415 0.0415 NA 900
33 thirtyminutes0030#2020-10-30 15:00:00,2020-10-30 15:29:59 thirtyminutes0030 2020-10-30 15:00:00 2020-10-30 15:29:59 1 0.0415 0.0415 0.0415 0.0415 NA 900
34 thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59 thirtyminutes0035 2020-03-06 17:30:00 2020-03-06 17:59:59 1 8.54903333333333 8.54903333333333 8.54903333333333 8.54903333333333 NA 1071.45
35 thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59 thirtyminutes0035 2020-10-30 17:30:00 2020-10-30 17:59:59 1 8.54903333333333 8.54903333333333 8.54903333333333 8.54903333333333 NA 1071.45
36 thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59 thirtyminutes0036 2020-03-06 18:00:00 2020-03-06 18:29:59 1 8.43411666666667 8.43411666666667 8.43411666666667 8.43411666666667 NA 1080
37 thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59 thirtyminutes0036 2020-10-30 18:00:00 2020-10-30 18:29:59 1 8.43411666666667 8.43411666666667 8.43411666666667 8.43411666666667 NA 1080
38 thirtyminutes0037#2020-03-07 18:30:00,2020-03-07 18:59:59 thirtyminutes0037 2020-03-07 18:30:00 2020-03-07 18:59:59 1 5.9999 5.9999 5.9999 5.9999 NA 1133.01666666667
39 thirtyminutes0037#2020-10-31 18:30:00,2020-10-31 18:59:59 thirtyminutes0037 2020-10-31 18:30:00 2020-10-31 18:59:59 1 5.9999 5.9999 5.9999 5.9999 NA 1133.01666666667
40 thirtyminutes0041#2020-03-06 20:30:00,2020-03-06 20:59:59 thirtyminutes0041 2020-03-06 20:30:00 2020-03-06 20:59:59 1 17.0195166666667 17.0195166666667 17.0195166666667 17.0195166666667 NA 1242.96666666667
41 thirtyminutes0041#2020-10-30 20:30:00,2020-10-30 20:59:59 thirtyminutes0041 2020-10-30 20:30:00 2020-10-30 20:59:59 1 17.0195166666667 17.0195166666667 17.0195166666667 17.0195166666667 NA 1242.96666666667
42 thirtyminutes0042#2020-03-06 21:00:00,2020-03-06 21:29:59 thirtyminutes0042 2020-03-06 21:00:00 2020-03-06 21:29:59 1 1.96723333333333 1.96723333333333 1.96723333333333 1.96723333333333 NA 1260
43 thirtyminutes0042#2020-03-07 21:00:00,2020-03-07 21:29:59 thirtyminutes0042 2020-03-07 21:00:00 2020-03-07 21:29:59 1 2.99995 2.99995 2.99995 2.99995 NA 1265
44 thirtyminutes0042#2020-03-09 21:00:00,2020-03-09 21:29:59 thirtyminutes0042 2020-03-09 21:00:00 2020-03-09 21:29:59 1 24.9995666666667 24.9995666666667 24.9995666666667 24.9995666666667 NA 1265
45 thirtyminutes0042#2020-10-30 21:00:00,2020-10-30 21:29:59 thirtyminutes0042 2020-10-30 21:00:00 2020-10-30 21:29:59 1 1.96723333333333 1.96723333333333 1.96723333333333 1.96723333333333 NA 1260
46 thirtyminutes0042#2020-10-31 21:00:00,2020-10-31 21:29:59 thirtyminutes0042 2020-10-31 21:00:00 2020-10-31 21:29:59 1 2.99995 2.99995 2.99995 2.99995 NA 1265
47 thirtyminutes0042#2020-11-02 21:00:00,2020-11-02 21:29:59 thirtyminutes0042 2020-11-02 21:00:00 2020-11-02 21:29:59 1 24.9995666666667 24.9995666666667 24.9995666666667 24.9995666666667 NA 1265
48 thirtyminutes0043#2020-03-09 21:30:00,2020-03-09 21:59:59 thirtyminutes0043 2020-03-09 21:30:00 2020-03-09 21:59:59 1 6.99988333333333 6.99988333333333 6.99988333333333 6.99988333333333 NA 1290
49 thirtyminutes0043#2020-11-02 21:30:00,2020-11-02 21:59:59 thirtyminutes0043 2020-11-02 21:30:00 2020-11-02 21:59:59 1 6.99988333333333 6.99988333333333 6.99988333333333 6.99988333333333 NA 1290
50 thirtyminutes0044#2020-03-08 22:00:00,2020-03-08 22:29:59 thirtyminutes0044 2020-03-08 22:00:00 2020-03-08 22:29:59 1 2.99995 2.99995 2.99995 2.99995 NA 1322
51 thirtyminutes0044#2020-11-01 22:00:00,2020-11-01 22:29:59 thirtyminutes0044 2020-11-01 22:00:00 2020-11-01 22:29:59 1 2.99995 2.99995 2.99995 2.99995 NA 1322

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@ -1 +1 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_sumdurationactivebout

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@ -1 +0,0 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_countdischarge","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_sumdurationcharge","phone_battery_rapids_maxconsumptionrate","phone_battery_rapids_countcharge","phone_battery_rapids_sumdurationdischarge"
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_countdischarge phone_battery_rapids_avgconsumptionrate phone_battery_rapids_sumdurationcharge phone_battery_rapids_maxconsumptionrate phone_battery_rapids_countcharge phone_battery_rapids_sumdurationdischarge

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@ -1 +1 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_sumdurationactivebout

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@ -1 +0,0 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_countdischarge","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_sumdurationcharge","phone_battery_rapids_maxconsumptionrate","phone_battery_rapids_countcharge","phone_battery_rapids_sumdurationdischarge"
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_countdischarge phone_battery_rapids_avgconsumptionrate phone_battery_rapids_sumdurationcharge phone_battery_rapids_maxconsumptionrate phone_battery_rapids_countcharge phone_battery_rapids_sumdurationdischarge

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@ -1,53 +1,53 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout"
"thirtyminutes0000#2020-03-08 00:00:00,2020-03-08 00:29:59","thirtyminutes0000","2020-03-08 00:00:00","2020-03-08 00:29:59",23,8,4,5.75,1.70782512765993,19,22,1,4,4,4,4,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0000#2020-03-08 00:00:00,2020-03-08 00:29:59","thirtyminutes0000","2020-03-08 00:00:00","2020-03-08 00:29:59",23,8,4,5.75,1.70782512765993,1,4,4,4,4,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0000#2020-11-01 00:00:00,2020-11-01 00:29:59","thirtyminutes0000","2020-11-01 00:00:00","2020-11-01 00:29:59",23,8,4,5.75,1.70782512765993,19,22,1,4,4,4,4,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0000#2020-11-01 00:00:00,2020-11-01 00:29:59","thirtyminutes0000","2020-11-01 00:00:00","2020-11-01 00:29:59",23,8,4,5.75,1.70782512765993,1,4,4,4,4,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0002#2020-03-09 01:00:00,2020-03-09 01:29:59","thirtyminutes0002","2020-03-09 01:00:00","2020-03-09 01:29:59",19,7,6,6.33333333333333,0.577350269189626,78,80,1,3,3,3,3,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0002#2020-03-09 01:00:00,2020-03-09 01:29:59","thirtyminutes0002","2020-03-09 01:00:00","2020-03-09 01:29:59",19,7,6,6.33333333333333,0.577350269189626,1,3,3,3,3,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0002#2020-11-02 01:00:00,2020-11-02 01:29:59","thirtyminutes0002","2020-11-02 01:00:00","2020-11-02 01:29:59",19,7,6,6.33333333333333,0.577350269189626,78,80,1,3,3,3,3,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0002#2020-11-02 01:00:00,2020-11-02 01:29:59","thirtyminutes0002","2020-11-02 01:00:00","2020-11-02 01:29:59",19,7,6,6.33333333333333,0.577350269189626,1,3,3,3,3,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0011#2020-03-06 05:30:00,2020-03-06 05:59:59","thirtyminutes0011","2020-03-06 05:30:00","2020-03-06 05:59:59",6,3,3,3,0,358,359,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0011#2020-03-06 05:30:00,2020-03-06 05:59:59","thirtyminutes0011","2020-03-06 05:30:00","2020-03-06 05:59:59",6,3,3,3,0,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0011#2020-10-30 05:30:00,2020-10-30 05:59:59","thirtyminutes0011","2020-10-30 05:30:00","2020-10-30 05:59:59",6,3,3,3,0,358,359,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0011#2020-10-30 05:30:00,2020-10-30 05:59:59","thirtyminutes0011","2020-10-30 05:30:00","2020-10-30 05:59:59",6,3,3,3,0,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0012#2020-03-06 06:00:00,2020-03-06 06:29:59","thirtyminutes0012","2020-03-06 06:00:00","2020-03-06 06:29:59",10,7,3,5,2.82842712474619,360,361,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0012#2020-03-06 06:00:00,2020-03-06 06:29:59","thirtyminutes0012","2020-03-06 06:00:00","2020-03-06 06:29:59",10,7,3,5,2.82842712474619,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0012#2020-10-30 06:00:00,2020-10-30 06:29:59","thirtyminutes0012","2020-10-30 06:00:00","2020-10-30 06:29:59",10,7,3,5,2.82842712474619,360,361,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0012#2020-10-30 06:00:00,2020-10-30 06:29:59","thirtyminutes0012","2020-10-30 06:00:00","2020-10-30 06:29:59",10,7,3,5,2.82842712474619,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0014#2020-03-06 07:00:00,2020-03-06 07:29:59","thirtyminutes0014","2020-03-06 07:00:00","2020-03-06 07:29:59",103,63,7,25.75,25.9663243451976,421,441,1,2,2,2,2,NA,1,2,2,2,2,NA "thirtyminutes0014#2020-03-06 07:00:00,2020-03-06 07:29:59","thirtyminutes0014","2020-03-06 07:00:00","2020-03-06 07:29:59",103,63,7,25.75,25.9663243451976,1,2,2,2,2,NA,1,2,2,2,2,NA
"thirtyminutes0014#2020-10-30 07:00:00,2020-10-30 07:29:59","thirtyminutes0014","2020-10-30 07:00:00","2020-10-30 07:29:59",103,63,7,25.75,25.9663243451976,421,441,1,2,2,2,2,NA,1,2,2,2,2,NA "thirtyminutes0014#2020-10-30 07:00:00,2020-10-30 07:29:59","thirtyminutes0014","2020-10-30 07:00:00","2020-10-30 07:29:59",103,63,7,25.75,25.9663243451976,1,2,2,2,2,NA,1,2,2,2,2,NA
"thirtyminutes0016#2020-03-06 08:00:00,2020-03-06 08:29:59","thirtyminutes0016","2020-03-06 08:00:00","2020-03-06 08:29:59",48,28,20,24,5.65685424949238,481,482,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA "thirtyminutes0016#2020-03-06 08:00:00,2020-03-06 08:29:59","thirtyminutes0016","2020-03-06 08:00:00","2020-03-06 08:29:59",48,28,20,24,5.65685424949238,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA
"thirtyminutes0016#2020-10-30 08:00:00,2020-10-30 08:29:59","thirtyminutes0016","2020-10-30 08:00:00","2020-10-30 08:29:59",48,28,20,24,5.65685424949238,481,482,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA "thirtyminutes0016#2020-10-30 08:00:00,2020-10-30 08:29:59","thirtyminutes0016","2020-10-30 08:00:00","2020-10-30 08:29:59",48,28,20,24,5.65685424949238,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA
"thirtyminutes0017#2020-03-07 08:30:00,2020-03-07 08:59:59","thirtyminutes0017","2020-03-07 08:30:00","2020-03-07 08:59:59",15,9,6,7.5,2.12132034355964,538,539,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0017#2020-03-07 08:30:00,2020-03-07 08:59:59","thirtyminutes0017","2020-03-07 08:30:00","2020-03-07 08:59:59",15,9,6,7.5,2.12132034355964,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0017#2020-10-31 08:30:00,2020-10-31 08:59:59","thirtyminutes0017","2020-10-31 08:30:00","2020-10-31 08:59:59",15,9,6,7.5,2.12132034355964,538,539,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0017#2020-10-31 08:30:00,2020-10-31 08:59:59","thirtyminutes0017","2020-10-31 08:30:00","2020-10-31 08:59:59",15,9,6,7.5,2.12132034355964,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0018#2020-03-07 09:00:00,2020-03-07 09:29:59","thirtyminutes0018","2020-03-07 09:00:00","2020-03-07 09:29:59",8,8,8,8,NA,540,540,1,1,1,1,1,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0018#2020-03-07 09:00:00,2020-03-07 09:29:59","thirtyminutes0018","2020-03-07 09:00:00","2020-03-07 09:29:59",8,8,8,8,NA,1,1,1,1,1,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0018#2020-03-08 09:00:00,2020-03-08 09:29:59","thirtyminutes0018","2020-03-08 09:00:00","2020-03-08 09:29:59",40,28,12,20,11.3137084989848,540,541,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA "thirtyminutes0018#2020-03-08 09:00:00,2020-03-08 09:29:59","thirtyminutes0018","2020-03-08 09:00:00","2020-03-08 09:29:59",40,28,12,20,11.3137084989848,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA
"thirtyminutes0018#2020-10-31 09:00:00,2020-10-31 09:29:59","thirtyminutes0018","2020-10-31 09:00:00","2020-10-31 09:29:59",8,8,8,8,NA,540,540,1,1,1,1,1,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0018#2020-10-31 09:00:00,2020-10-31 09:29:59","thirtyminutes0018","2020-10-31 09:00:00","2020-10-31 09:29:59",8,8,8,8,NA,1,1,1,1,1,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0018#2020-11-01 09:00:00,2020-11-01 09:29:59","thirtyminutes0018","2020-11-01 09:00:00","2020-11-01 09:29:59",40,28,12,20,11.3137084989848,540,541,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA "thirtyminutes0018#2020-11-01 09:00:00,2020-11-01 09:29:59","thirtyminutes0018","2020-11-01 09:00:00","2020-11-01 09:29:59",40,28,12,20,11.3137084989848,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA
"thirtyminutes0020#2020-03-08 10:00:00,2020-03-08 10:29:59","thirtyminutes0020","2020-03-08 10:00:00","2020-03-08 10:29:59",15,8,7,7.5,0.707106781186548,615,616,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0020#2020-03-08 10:00:00,2020-03-08 10:29:59","thirtyminutes0020","2020-03-08 10:00:00","2020-03-08 10:29:59",15,8,7,7.5,0.707106781186548,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0020#2020-11-01 10:00:00,2020-11-01 10:29:59","thirtyminutes0020","2020-11-01 10:00:00","2020-11-01 10:29:59",15,8,7,7.5,0.707106781186548,615,616,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0020#2020-11-01 10:00:00,2020-11-01 10:29:59","thirtyminutes0020","2020-11-01 10:00:00","2020-11-01 10:29:59",15,8,7,7.5,0.707106781186548,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0022#2020-03-08 11:00:00,2020-03-08 11:29:59","thirtyminutes0022","2020-03-08 11:00:00","2020-03-08 11:29:59",126,69,57,63,8.48528137423857,665,666,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA "thirtyminutes0022#2020-03-08 11:00:00,2020-03-08 11:29:59","thirtyminutes0022","2020-03-08 11:00:00","2020-03-08 11:29:59",126,69,57,63,8.48528137423857,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA
"thirtyminutes0022#2020-11-01 11:00:00,2020-11-01 11:29:59","thirtyminutes0022","2020-11-01 11:00:00","2020-11-01 11:29:59",126,69,57,63,8.48528137423857,665,666,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA "thirtyminutes0022#2020-11-01 11:00:00,2020-11-01 11:29:59","thirtyminutes0022","2020-11-01 11:00:00","2020-11-01 11:29:59",126,69,57,63,8.48528137423857,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA
"thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59","thirtyminutes0023","2020-03-06 11:30:00","2020-03-06 11:59:59",11,5,3,3.66666666666667,1.15470053837925,717,719,1,3,3,3,3,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59","thirtyminutes0023","2020-03-06 11:30:00","2020-03-06 11:59:59",11,5,3,3.66666666666667,1.15470053837925,1,3,3,3,3,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0023#2020-03-07 11:30:00,2020-03-07 11:59:59","thirtyminutes0023","2020-03-07 11:30:00","2020-03-07 11:59:59",173,72,17,43.25,28.2886903196313,705,708,NA,NA,NA,NA,NA,NA,1,4,4,4,4,NA "thirtyminutes0023#2020-03-07 11:30:00,2020-03-07 11:59:59","thirtyminutes0023","2020-03-07 11:30:00","2020-03-07 11:59:59",173,72,17,43.25,28.2886903196313,NA,NA,NA,NA,NA,NA,1,4,4,4,4,NA
"thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59","thirtyminutes0023","2020-10-30 11:30:00","2020-10-30 11:59:59",11,5,3,3.66666666666667,1.15470053837925,717,719,1,3,3,3,3,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59","thirtyminutes0023","2020-10-30 11:30:00","2020-10-30 11:59:59",11,5,3,3.66666666666667,1.15470053837925,1,3,3,3,3,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0023#2020-10-31 11:30:00,2020-10-31 11:59:59","thirtyminutes0023","2020-10-31 11:30:00","2020-10-31 11:59:59",173,72,17,43.25,28.2886903196313,705,708,NA,NA,NA,NA,NA,NA,1,4,4,4,4,NA "thirtyminutes0023#2020-10-31 11:30:00,2020-10-31 11:59:59","thirtyminutes0023","2020-10-31 11:30:00","2020-10-31 11:59:59",173,72,17,43.25,28.2886903196313,NA,NA,NA,NA,NA,NA,1,4,4,4,4,NA
"thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59","thirtyminutes0024","2020-03-06 12:00:00","2020-03-06 12:29:59",13,6,1,4.33333333333333,2.88675134594813,720,722,1,3,3,3,3,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59","thirtyminutes0024","2020-03-06 12:00:00","2020-03-06 12:29:59",13,6,1,4.33333333333333,2.88675134594813,1,3,3,3,3,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0024#2020-03-07 12:00:00,2020-03-07 12:29:59","thirtyminutes0024","2020-03-07 12:00:00","2020-03-07 12:29:59",15,9,6,7.5,2.12132034355964,721,722,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0024#2020-03-07 12:00:00,2020-03-07 12:29:59","thirtyminutes0024","2020-03-07 12:00:00","2020-03-07 12:29:59",15,9,6,7.5,2.12132034355964,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59","thirtyminutes0024","2020-03-08 12:00:00","2020-03-08 12:29:59",13,7,6,6.5,0.707106781186548,720,721,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59","thirtyminutes0024","2020-03-08 12:00:00","2020-03-08 12:29:59",13,7,6,6.5,0.707106781186548,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59","thirtyminutes0024","2020-10-30 12:00:00","2020-10-30 12:29:59",13,6,1,4.33333333333333,2.88675134594813,720,722,1,3,3,3,3,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59","thirtyminutes0024","2020-10-30 12:00:00","2020-10-30 12:29:59",13,6,1,4.33333333333333,2.88675134594813,1,3,3,3,3,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0024#2020-10-31 12:00:00,2020-10-31 12:29:59","thirtyminutes0024","2020-10-31 12:00:00","2020-10-31 12:29:59",15,9,6,7.5,2.12132034355964,721,722,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0024#2020-10-31 12:00:00,2020-10-31 12:29:59","thirtyminutes0024","2020-10-31 12:00:00","2020-10-31 12:29:59",15,9,6,7.5,2.12132034355964,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59","thirtyminutes0024","2020-11-01 12:00:00","2020-11-01 12:29:59",13,7,6,6.5,0.707106781186548,720,721,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59","thirtyminutes0024","2020-11-01 12:00:00","2020-11-01 12:29:59",13,7,6,6.5,0.707106781186548,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0025#2020-03-07 12:30:00,2020-03-07 12:59:59","thirtyminutes0025","2020-03-07 12:30:00","2020-03-07 12:59:59",20,20,20,20,NA,779,779,NA,NA,NA,NA,NA,NA,1,1,1,1,1,NA "thirtyminutes0025#2020-03-07 12:30:00,2020-03-07 12:59:59","thirtyminutes0025","2020-03-07 12:30:00","2020-03-07 12:59:59",20,20,20,20,NA,NA,NA,NA,NA,NA,NA,1,1,1,1,1,NA
"thirtyminutes0025#2020-10-31 12:30:00,2020-10-31 12:59:59","thirtyminutes0025","2020-10-31 12:30:00","2020-10-31 12:59:59",20,20,20,20,NA,779,779,NA,NA,NA,NA,NA,NA,1,1,1,1,1,NA "thirtyminutes0025#2020-10-31 12:30:00,2020-10-31 12:59:59","thirtyminutes0025","2020-10-31 12:30:00","2020-10-31 12:59:59",20,20,20,20,NA,NA,NA,NA,NA,NA,NA,1,1,1,1,1,NA
"thirtyminutes0026#2020-03-06 13:00:00,2020-03-06 13:29:59","thirtyminutes0026","2020-03-06 13:00:00","2020-03-06 13:29:59",40,21,19,20,1.4142135623731,802,803,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA "thirtyminutes0026#2020-03-06 13:00:00,2020-03-06 13:29:59","thirtyminutes0026","2020-03-06 13:00:00","2020-03-06 13:29:59",40,21,19,20,1.4142135623731,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA
"thirtyminutes0026#2020-03-07 13:00:00,2020-03-07 13:29:59","thirtyminutes0026","2020-03-07 13:00:00","2020-03-07 13:29:59",80,59,2,20,26.4952825989835,780,783,1,2,2,2,2,NA,1,2,2,2,2,NA "thirtyminutes0026#2020-03-07 13:00:00,2020-03-07 13:29:59","thirtyminutes0026","2020-03-07 13:00:00","2020-03-07 13:29:59",80,59,2,20,26.4952825989835,1,2,2,2,2,NA,1,2,2,2,2,NA
"thirtyminutes0026#2020-10-30 13:00:00,2020-10-30 13:29:59","thirtyminutes0026","2020-10-30 13:00:00","2020-10-30 13:29:59",40,21,19,20,1.4142135623731,802,803,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA "thirtyminutes0026#2020-10-30 13:00:00,2020-10-30 13:29:59","thirtyminutes0026","2020-10-30 13:00:00","2020-10-30 13:29:59",40,21,19,20,1.4142135623731,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA
"thirtyminutes0026#2020-10-31 13:00:00,2020-10-31 13:29:59","thirtyminutes0026","2020-10-31 13:00:00","2020-10-31 13:29:59",80,59,2,20,26.4952825989835,780,783,1,2,2,2,2,NA,1,2,2,2,2,NA "thirtyminutes0026#2020-10-31 13:00:00,2020-10-31 13:29:59","thirtyminutes0026","2020-10-31 13:00:00","2020-10-31 13:29:59",80,59,2,20,26.4952825989835,1,2,2,2,2,NA,1,2,2,2,2,NA
"thirtyminutes0029#2020-03-09 14:30:00,2020-03-09 14:59:59","thirtyminutes0029","2020-03-09 14:30:00","2020-03-09 14:59:59",107,62,45,53.5,12.0208152801713,890,891,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA "thirtyminutes0029#2020-03-09 14:30:00,2020-03-09 14:59:59","thirtyminutes0029","2020-03-09 14:30:00","2020-03-09 14:59:59",107,62,45,53.5,12.0208152801713,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA
"thirtyminutes0029#2020-11-02 14:30:00,2020-11-02 14:59:59","thirtyminutes0029","2020-11-02 14:30:00","2020-11-02 14:59:59",107,62,45,53.5,12.0208152801713,890,891,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA "thirtyminutes0029#2020-11-02 14:30:00,2020-11-02 14:59:59","thirtyminutes0029","2020-11-02 14:30:00","2020-11-02 14:59:59",107,62,45,53.5,12.0208152801713,NA,NA,NA,NA,NA,NA,1,2,2,2,2,NA
"thirtyminutes0032#2020-03-07 16:00:00,2020-03-07 16:29:59","thirtyminutes0032","2020-03-07 16:00:00","2020-03-07 16:29:59",115,64,16,38.3333333333333,24.1729876790879,968,970,NA,NA,NA,NA,NA,NA,1,3,3,3,3,NA "thirtyminutes0032#2020-03-07 16:00:00,2020-03-07 16:29:59","thirtyminutes0032","2020-03-07 16:00:00","2020-03-07 16:29:59",115,64,16,38.3333333333333,24.1729876790879,NA,NA,NA,NA,NA,NA,1,3,3,3,3,NA
"thirtyminutes0032#2020-10-31 16:00:00,2020-10-31 16:29:59","thirtyminutes0032","2020-10-31 16:00:00","2020-10-31 16:29:59",115,64,16,38.3333333333333,24.1729876790879,968,970,NA,NA,NA,NA,NA,NA,1,3,3,3,3,NA "thirtyminutes0032#2020-10-31 16:00:00,2020-10-31 16:29:59","thirtyminutes0032","2020-10-31 16:00:00","2020-10-31 16:29:59",115,64,16,38.3333333333333,24.1729876790879,NA,NA,NA,NA,NA,NA,1,3,3,3,3,NA
"thirtyminutes0034#2020-03-08 17:00:00,2020-03-08 17:29:59","thirtyminutes0034","2020-03-08 17:00:00","2020-03-08 17:29:59",90,49,13,30,18.0831413200251,1043,1045,NA,NA,NA,NA,NA,NA,1,3,3,3,3,NA "thirtyminutes0034#2020-03-08 17:00:00,2020-03-08 17:29:59","thirtyminutes0034","2020-03-08 17:00:00","2020-03-08 17:29:59",90,49,13,30,18.0831413200251,NA,NA,NA,NA,NA,NA,1,3,3,3,3,NA
"thirtyminutes0034#2020-11-01 17:00:00,2020-11-01 17:29:59","thirtyminutes0034","2020-11-01 17:00:00","2020-11-01 17:29:59",90,49,13,30,18.0831413200251,1043,1045,NA,NA,NA,NA,NA,NA,1,3,3,3,3,NA "thirtyminutes0034#2020-11-01 17:00:00,2020-11-01 17:29:59","thirtyminutes0034","2020-11-01 17:00:00","2020-11-01 17:29:59",90,49,13,30,18.0831413200251,NA,NA,NA,NA,NA,NA,1,3,3,3,3,NA
"thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59","thirtyminutes0035","2020-03-06 17:30:00","2020-03-06 17:59:59",12,8,4,6,2.82842712474619,1078,1079,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59","thirtyminutes0035","2020-03-06 17:30:00","2020-03-06 17:59:59",12,8,4,6,2.82842712474619,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59","thirtyminutes0035","2020-10-30 17:30:00","2020-10-30 17:59:59",12,8,4,6,2.82842712474619,1078,1079,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59","thirtyminutes0035","2020-10-30 17:30:00","2020-10-30 17:59:59",12,8,4,6,2.82842712474619,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59","thirtyminutes0036","2020-03-06 18:00:00","2020-03-06 18:29:59",8,5,3,4,1.4142135623731,1080,1081,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59","thirtyminutes0036","2020-03-06 18:00:00","2020-03-06 18:29:59",8,5,3,4,1.4142135623731,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59","thirtyminutes0036","2020-10-30 18:00:00","2020-10-30 18:29:59",8,5,3,4,1.4142135623731,1080,1081,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59","thirtyminutes0036","2020-10-30 18:00:00","2020-10-30 18:29:59",8,5,3,4,1.4142135623731,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0038#2020-03-07 19:00:00,2020-03-07 19:29:59","thirtyminutes0038","2020-03-07 19:00:00","2020-03-07 19:29:59",13,8,5,6.5,2.12132034355964,1140,1141,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0038#2020-03-07 19:00:00,2020-03-07 19:29:59","thirtyminutes0038","2020-03-07 19:00:00","2020-03-07 19:29:59",13,8,5,6.5,2.12132034355964,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0038#2020-10-31 19:00:00,2020-10-31 19:29:59","thirtyminutes0038","2020-10-31 19:00:00","2020-10-31 19:29:59",13,8,5,6.5,2.12132034355964,1140,1141,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA "thirtyminutes0038#2020-10-31 19:00:00,2020-10-31 19:29:59","thirtyminutes0038","2020-10-31 19:00:00","2020-10-31 19:29:59",13,8,5,6.5,2.12132034355964,1,2,2,2,2,NA,NA,NA,NA,NA,NA,NA
"thirtyminutes0040#2020-03-07 20:00:00,2020-03-07 20:29:59","thirtyminutes0040","2020-03-07 20:00:00","2020-03-07 20:29:59",88,51,15,29.3333333333333,19.0875177362939,1201,1203,NA,NA,NA,NA,NA,NA,1,3,3,3,3,NA "thirtyminutes0040#2020-03-07 20:00:00,2020-03-07 20:29:59","thirtyminutes0040","2020-03-07 20:00:00","2020-03-07 20:29:59",88,51,15,29.3333333333333,19.0875177362939,NA,NA,NA,NA,NA,NA,1,3,3,3,3,NA
"thirtyminutes0040#2020-10-31 20:00:00,2020-10-31 20:29:59","thirtyminutes0040","2020-10-31 20:00:00","2020-10-31 20:29:59",88,51,15,29.3333333333333,19.0875177362939,1201,1203,NA,NA,NA,NA,NA,NA,1,3,3,3,3,NA "thirtyminutes0040#2020-10-31 20:00:00,2020-10-31 20:29:59","thirtyminutes0040","2020-10-31 20:00:00","2020-10-31 20:29:59",88,51,15,29.3333333333333,19.0875177362939,NA,NA,NA,NA,NA,NA,1,3,3,3,3,NA

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_sumdurationactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout
2 thirtyminutes0000#2020-03-08 00:00:00,2020-03-08 00:29:59 thirtyminutes0000 2020-03-08 00:00:00 2020-03-08 00:29:59 23 8 4 5.75 1.70782512765993 19 1 22 4 4 4 4 NA NA NA NA NA NA NA
3 thirtyminutes0000#2020-11-01 00:00:00,2020-11-01 00:29:59 thirtyminutes0000 2020-11-01 00:00:00 2020-11-01 00:29:59 23 8 4 5.75 1.70782512765993 19 1 22 4 4 4 4 NA NA NA NA NA NA NA
4 thirtyminutes0002#2020-03-09 01:00:00,2020-03-09 01:29:59 thirtyminutes0002 2020-03-09 01:00:00 2020-03-09 01:29:59 19 7 6 6.33333333333333 0.577350269189626 78 1 80 3 3 3 3 NA NA NA NA NA NA NA
5 thirtyminutes0002#2020-11-02 01:00:00,2020-11-02 01:29:59 thirtyminutes0002 2020-11-02 01:00:00 2020-11-02 01:29:59 19 7 6 6.33333333333333 0.577350269189626 78 1 80 3 3 3 3 NA NA NA NA NA NA NA
6 thirtyminutes0011#2020-03-06 05:30:00,2020-03-06 05:59:59 thirtyminutes0011 2020-03-06 05:30:00 2020-03-06 05:59:59 6 3 3 3 0 358 1 359 2 2 2 2 NA NA NA NA NA NA NA
7 thirtyminutes0011#2020-10-30 05:30:00,2020-10-30 05:59:59 thirtyminutes0011 2020-10-30 05:30:00 2020-10-30 05:59:59 6 3 3 3 0 358 1 359 2 2 2 2 NA NA NA NA NA NA NA
8 thirtyminutes0012#2020-03-06 06:00:00,2020-03-06 06:29:59 thirtyminutes0012 2020-03-06 06:00:00 2020-03-06 06:29:59 10 7 3 5 2.82842712474619 360 1 361 2 2 2 2 NA NA NA NA NA NA NA
9 thirtyminutes0012#2020-10-30 06:00:00,2020-10-30 06:29:59 thirtyminutes0012 2020-10-30 06:00:00 2020-10-30 06:29:59 10 7 3 5 2.82842712474619 360 1 361 2 2 2 2 NA NA NA NA NA NA NA
10 thirtyminutes0014#2020-03-06 07:00:00,2020-03-06 07:29:59 thirtyminutes0014 2020-03-06 07:00:00 2020-03-06 07:29:59 103 63 7 25.75 25.9663243451976 421 1 441 2 2 2 2 NA 1 2 2 2 2 NA
11 thirtyminutes0014#2020-10-30 07:00:00,2020-10-30 07:29:59 thirtyminutes0014 2020-10-30 07:00:00 2020-10-30 07:29:59 103 63 7 25.75 25.9663243451976 421 1 441 2 2 2 2 NA 1 2 2 2 2 NA
12 thirtyminutes0016#2020-03-06 08:00:00,2020-03-06 08:29:59 thirtyminutes0016 2020-03-06 08:00:00 2020-03-06 08:29:59 48 28 20 24 5.65685424949238 481 NA 482 NA NA NA NA NA 1 2 2 2 2 NA
13 thirtyminutes0016#2020-10-30 08:00:00,2020-10-30 08:29:59 thirtyminutes0016 2020-10-30 08:00:00 2020-10-30 08:29:59 48 28 20 24 5.65685424949238 481 NA 482 NA NA NA NA NA 1 2 2 2 2 NA
14 thirtyminutes0017#2020-03-07 08:30:00,2020-03-07 08:59:59 thirtyminutes0017 2020-03-07 08:30:00 2020-03-07 08:59:59 15 9 6 7.5 2.12132034355964 538 1 539 2 2 2 2 NA NA NA NA NA NA NA
15 thirtyminutes0017#2020-10-31 08:30:00,2020-10-31 08:59:59 thirtyminutes0017 2020-10-31 08:30:00 2020-10-31 08:59:59 15 9 6 7.5 2.12132034355964 538 1 539 2 2 2 2 NA NA NA NA NA NA NA
16 thirtyminutes0018#2020-03-07 09:00:00,2020-03-07 09:29:59 thirtyminutes0018 2020-03-07 09:00:00 2020-03-07 09:29:59 8 8 8 8 NA 540 1 540 1 1 1 1 NA NA NA NA NA NA NA
17 thirtyminutes0018#2020-03-08 09:00:00,2020-03-08 09:29:59 thirtyminutes0018 2020-03-08 09:00:00 2020-03-08 09:29:59 40 28 12 20 11.3137084989848 540 NA 541 NA NA NA NA NA 1 2 2 2 2 NA
18 thirtyminutes0018#2020-10-31 09:00:00,2020-10-31 09:29:59 thirtyminutes0018 2020-10-31 09:00:00 2020-10-31 09:29:59 8 8 8 8 NA 540 1 540 1 1 1 1 NA NA NA NA NA NA NA
19 thirtyminutes0018#2020-11-01 09:00:00,2020-11-01 09:29:59 thirtyminutes0018 2020-11-01 09:00:00 2020-11-01 09:29:59 40 28 12 20 11.3137084989848 540 NA 541 NA NA NA NA NA 1 2 2 2 2 NA
20 thirtyminutes0020#2020-03-08 10:00:00,2020-03-08 10:29:59 thirtyminutes0020 2020-03-08 10:00:00 2020-03-08 10:29:59 15 8 7 7.5 0.707106781186548 615 1 616 2 2 2 2 NA NA NA NA NA NA NA
21 thirtyminutes0020#2020-11-01 10:00:00,2020-11-01 10:29:59 thirtyminutes0020 2020-11-01 10:00:00 2020-11-01 10:29:59 15 8 7 7.5 0.707106781186548 615 1 616 2 2 2 2 NA NA NA NA NA NA NA
22 thirtyminutes0022#2020-03-08 11:00:00,2020-03-08 11:29:59 thirtyminutes0022 2020-03-08 11:00:00 2020-03-08 11:29:59 126 69 57 63 8.48528137423857 665 NA 666 NA NA NA NA NA 1 2 2 2 2 NA
23 thirtyminutes0022#2020-11-01 11:00:00,2020-11-01 11:29:59 thirtyminutes0022 2020-11-01 11:00:00 2020-11-01 11:29:59 126 69 57 63 8.48528137423857 665 NA 666 NA NA NA NA NA 1 2 2 2 2 NA
24 thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59 thirtyminutes0023 2020-03-06 11:30:00 2020-03-06 11:59:59 11 5 3 3.66666666666667 1.15470053837925 717 1 719 3 3 3 3 NA NA NA NA NA NA NA
25 thirtyminutes0023#2020-03-07 11:30:00,2020-03-07 11:59:59 thirtyminutes0023 2020-03-07 11:30:00 2020-03-07 11:59:59 173 72 17 43.25 28.2886903196313 705 NA 708 NA NA NA NA NA 1 4 4 4 4 NA
26 thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59 thirtyminutes0023 2020-10-30 11:30:00 2020-10-30 11:59:59 11 5 3 3.66666666666667 1.15470053837925 717 1 719 3 3 3 3 NA NA NA NA NA NA NA
27 thirtyminutes0023#2020-10-31 11:30:00,2020-10-31 11:59:59 thirtyminutes0023 2020-10-31 11:30:00 2020-10-31 11:59:59 173 72 17 43.25 28.2886903196313 705 NA 708 NA NA NA NA NA 1 4 4 4 4 NA
28 thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59 thirtyminutes0024 2020-03-06 12:00:00 2020-03-06 12:29:59 13 6 1 4.33333333333333 2.88675134594813 720 1 722 3 3 3 3 NA NA NA NA NA NA NA
29 thirtyminutes0024#2020-03-07 12:00:00,2020-03-07 12:29:59 thirtyminutes0024 2020-03-07 12:00:00 2020-03-07 12:29:59 15 9 6 7.5 2.12132034355964 721 1 722 2 2 2 2 NA NA NA NA NA NA NA
30 thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59 thirtyminutes0024 2020-03-08 12:00:00 2020-03-08 12:29:59 13 7 6 6.5 0.707106781186548 720 1 721 2 2 2 2 NA NA NA NA NA NA NA
31 thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59 thirtyminutes0024 2020-10-30 12:00:00 2020-10-30 12:29:59 13 6 1 4.33333333333333 2.88675134594813 720 1 722 3 3 3 3 NA NA NA NA NA NA NA
32 thirtyminutes0024#2020-10-31 12:00:00,2020-10-31 12:29:59 thirtyminutes0024 2020-10-31 12:00:00 2020-10-31 12:29:59 15 9 6 7.5 2.12132034355964 721 1 722 2 2 2 2 NA NA NA NA NA NA NA
33 thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59 thirtyminutes0024 2020-11-01 12:00:00 2020-11-01 12:29:59 13 7 6 6.5 0.707106781186548 720 1 721 2 2 2 2 NA NA NA NA NA NA NA
34 thirtyminutes0025#2020-03-07 12:30:00,2020-03-07 12:59:59 thirtyminutes0025 2020-03-07 12:30:00 2020-03-07 12:59:59 20 20 20 20 NA 779 NA 779 NA NA NA NA NA 1 1 1 1 1 NA
35 thirtyminutes0025#2020-10-31 12:30:00,2020-10-31 12:59:59 thirtyminutes0025 2020-10-31 12:30:00 2020-10-31 12:59:59 20 20 20 20 NA 779 NA 779 NA NA NA NA NA 1 1 1 1 1 NA
36 thirtyminutes0026#2020-03-06 13:00:00,2020-03-06 13:29:59 thirtyminutes0026 2020-03-06 13:00:00 2020-03-06 13:29:59 40 21 19 20 1.4142135623731 802 NA 803 NA NA NA NA NA 1 2 2 2 2 NA
37 thirtyminutes0026#2020-03-07 13:00:00,2020-03-07 13:29:59 thirtyminutes0026 2020-03-07 13:00:00 2020-03-07 13:29:59 80 59 2 20 26.4952825989835 780 1 783 2 2 2 2 NA 1 2 2 2 2 NA
38 thirtyminutes0026#2020-10-30 13:00:00,2020-10-30 13:29:59 thirtyminutes0026 2020-10-30 13:00:00 2020-10-30 13:29:59 40 21 19 20 1.4142135623731 802 NA 803 NA NA NA NA NA 1 2 2 2 2 NA
39 thirtyminutes0026#2020-10-31 13:00:00,2020-10-31 13:29:59 thirtyminutes0026 2020-10-31 13:00:00 2020-10-31 13:29:59 80 59 2 20 26.4952825989835 780 1 783 2 2 2 2 NA 1 2 2 2 2 NA
40 thirtyminutes0029#2020-03-09 14:30:00,2020-03-09 14:59:59 thirtyminutes0029 2020-03-09 14:30:00 2020-03-09 14:59:59 107 62 45 53.5 12.0208152801713 890 NA 891 NA NA NA NA NA 1 2 2 2 2 NA
41 thirtyminutes0029#2020-11-02 14:30:00,2020-11-02 14:59:59 thirtyminutes0029 2020-11-02 14:30:00 2020-11-02 14:59:59 107 62 45 53.5 12.0208152801713 890 NA 891 NA NA NA NA NA 1 2 2 2 2 NA
42 thirtyminutes0032#2020-03-07 16:00:00,2020-03-07 16:29:59 thirtyminutes0032 2020-03-07 16:00:00 2020-03-07 16:29:59 115 64 16 38.3333333333333 24.1729876790879 968 NA 970 NA NA NA NA NA 1 3 3 3 3 NA
43 thirtyminutes0032#2020-10-31 16:00:00,2020-10-31 16:29:59 thirtyminutes0032 2020-10-31 16:00:00 2020-10-31 16:29:59 115 64 16 38.3333333333333 24.1729876790879 968 NA 970 NA NA NA NA NA 1 3 3 3 3 NA
44 thirtyminutes0034#2020-03-08 17:00:00,2020-03-08 17:29:59 thirtyminutes0034 2020-03-08 17:00:00 2020-03-08 17:29:59 90 49 13 30 18.0831413200251 1043 NA 1045 NA NA NA NA NA 1 3 3 3 3 NA
45 thirtyminutes0034#2020-11-01 17:00:00,2020-11-01 17:29:59 thirtyminutes0034 2020-11-01 17:00:00 2020-11-01 17:29:59 90 49 13 30 18.0831413200251 1043 NA 1045 NA NA NA NA NA 1 3 3 3 3 NA
46 thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59 thirtyminutes0035 2020-03-06 17:30:00 2020-03-06 17:59:59 12 8 4 6 2.82842712474619 1078 1 1079 2 2 2 2 NA NA NA NA NA NA NA
47 thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59 thirtyminutes0035 2020-10-30 17:30:00 2020-10-30 17:59:59 12 8 4 6 2.82842712474619 1078 1 1079 2 2 2 2 NA NA NA NA NA NA NA
48 thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59 thirtyminutes0036 2020-03-06 18:00:00 2020-03-06 18:29:59 8 5 3 4 1.4142135623731 1080 1 1081 2 2 2 2 NA NA NA NA NA NA NA
49 thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59 thirtyminutes0036 2020-10-30 18:00:00 2020-10-30 18:29:59 8 5 3 4 1.4142135623731 1080 1 1081 2 2 2 2 NA NA NA NA NA NA NA
50 thirtyminutes0038#2020-03-07 19:00:00,2020-03-07 19:29:59 thirtyminutes0038 2020-03-07 19:00:00 2020-03-07 19:29:59 13 8 5 6.5 2.12132034355964 1140 1 1141 2 2 2 2 NA NA NA NA NA NA NA
51 thirtyminutes0038#2020-10-31 19:00:00,2020-10-31 19:29:59 thirtyminutes0038 2020-10-31 19:00:00 2020-10-31 19:29:59 13 8 5 6.5 2.12132034355964 1140 1 1141 2 2 2 2 NA NA NA NA NA NA NA
52 thirtyminutes0040#2020-03-07 20:00:00,2020-03-07 20:29:59 thirtyminutes0040 2020-03-07 20:00:00 2020-03-07 20:29:59 88 51 15 29.3333333333333 19.0875177362939 1201 NA 1203 NA NA NA NA NA 1 3 3 3 3 NA
53 thirtyminutes0040#2020-10-31 20:00:00,2020-10-31 20:29:59 thirtyminutes0040 2020-10-31 20:00:00 2020-10-31 20:29:59 88 51 15 29.3333333333333 19.0875177362939 1201 NA 1203 NA NA NA NA NA 1 3 3 3 3 NA

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@ -1 +0,0 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_countdischarge","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_sumdurationcharge","phone_battery_rapids_maxconsumptionrate","phone_battery_rapids_countcharge","phone_battery_rapids_sumdurationdischarge"
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_countdischarge phone_battery_rapids_avgconsumptionrate phone_battery_rapids_sumdurationcharge phone_battery_rapids_maxconsumptionrate phone_battery_rapids_countcharge phone_battery_rapids_sumdurationdischarge

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@ -1 +1 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_sumdurationactivebout

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@ -35,16 +35,16 @@
"thirtyminutes0018#2020-03-07 09:00:00,2020-03-07 09:29:59","thirtyminutes0018","2020-03-07 09:00:00","2020-03-07 09:29:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0018#2020-03-07 09:00:00,2020-03-07 09:29:59","thirtyminutes0018","2020-03-07 09:00:00","2020-03-07 09:29:59",1,7,1,0,4.99991666666667,0
"thirtyminutes0018#2020-10-30 09:00:00,2020-10-30 09:29:59","thirtyminutes0018","2020-10-30 09:00:00","2020-10-30 09:29:59",2,8,1,0,9.99983333333333,0 "thirtyminutes0018#2020-10-30 09:00:00,2020-10-30 09:29:59","thirtyminutes0018","2020-10-30 09:00:00","2020-10-30 09:29:59",2,8,1,0,9.99983333333333,0
"thirtyminutes0018#2020-10-31 09:00:00,2020-10-31 09:29:59","thirtyminutes0018","2020-10-31 09:00:00","2020-10-31 09:29:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0018#2020-10-31 09:00:00,2020-10-31 09:29:59","thirtyminutes0018","2020-10-31 09:00:00","2020-10-31 09:29:59",1,7,1,0,4.99991666666667,0
"thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59","thirtyminutes0020","2020-03-06 10:00:00","2020-03-06 10:29:59",1,0,1,0,0,10.15325 "thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59","thirtyminutes0020","2020-03-06 10:00:00","2020-03-06 10:29:59",1,0,1,0,NA,10.15325
"thirtyminutes0020#2020-03-07 10:00:00,2020-03-07 10:29:59","thirtyminutes0020","2020-03-07 10:00:00","2020-03-07 10:29:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0020#2020-03-07 10:00:00,2020-03-07 10:29:59","thirtyminutes0020","2020-03-07 10:00:00","2020-03-07 10:29:59",1,7,1,0,4.99991666666667,NA
"thirtyminutes0020#2020-03-09 10:00:00,2020-03-09 10:29:59","thirtyminutes0020","2020-03-09 10:00:00","2020-03-09 10:29:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0020#2020-03-09 10:00:00,2020-03-09 10:29:59","thirtyminutes0020","2020-03-09 10:00:00","2020-03-09 10:29:59",1,7,1,0,4.99991666666667,NA
"thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59","thirtyminutes0020","2020-10-30 10:00:00","2020-10-30 10:29:59",1,0,1,0,0,10.15325 "thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59","thirtyminutes0020","2020-10-30 10:00:00","2020-10-30 10:29:59",1,0,1,0,NA,10.15325
"thirtyminutes0020#2020-10-31 10:00:00,2020-10-31 10:29:59","thirtyminutes0020","2020-10-31 10:00:00","2020-10-31 10:29:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0020#2020-10-31 10:00:00,2020-10-31 10:29:59","thirtyminutes0020","2020-10-31 10:00:00","2020-10-31 10:29:59",1,7,1,0,4.99991666666667,NA
"thirtyminutes0020#2020-11-02 10:00:00,2020-11-02 10:29:59","thirtyminutes0020","2020-11-02 10:00:00","2020-11-02 10:29:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0020#2020-11-02 10:00:00,2020-11-02 10:29:59","thirtyminutes0020","2020-11-02 10:00:00","2020-11-02 10:29:59",1,7,1,0,4.99991666666667,NA
"thirtyminutes0021#2020-03-06 10:30:00,2020-03-06 10:59:59","thirtyminutes0021","2020-03-06 10:30:00","2020-03-06 10:59:59",1,0,1,0,0,4.99991666666667 "thirtyminutes0021#2020-03-06 10:30:00,2020-03-06 10:59:59","thirtyminutes0021","2020-03-06 10:30:00","2020-03-06 10:59:59",1,0,1,0,NA,4.99991666666667
"thirtyminutes0021#2020-03-09 10:30:00,2020-03-09 10:59:59","thirtyminutes0021","2020-03-09 10:30:00","2020-03-09 10:59:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0021#2020-03-09 10:30:00,2020-03-09 10:59:59","thirtyminutes0021","2020-03-09 10:30:00","2020-03-09 10:59:59",1,7,1,0,4.99991666666667,NA
"thirtyminutes0021#2020-10-30 10:30:00,2020-10-30 10:59:59","thirtyminutes0021","2020-10-30 10:30:00","2020-10-30 10:59:59",1,0,1,0,0,4.99991666666667 "thirtyminutes0021#2020-10-30 10:30:00,2020-10-30 10:59:59","thirtyminutes0021","2020-10-30 10:30:00","2020-10-30 10:59:59",1,0,1,0,NA,4.99991666666667
"thirtyminutes0021#2020-11-02 10:30:00,2020-11-02 10:59:59","thirtyminutes0021","2020-11-02 10:30:00","2020-11-02 10:59:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0021#2020-11-02 10:30:00,2020-11-02 10:59:59","thirtyminutes0021","2020-11-02 10:30:00","2020-11-02 10:59:59",1,7,1,0,4.99991666666667,NA
"thirtyminutes0022#2020-03-06 11:00:00,2020-03-06 11:29:59","thirtyminutes0022","2020-03-06 11:00:00","2020-03-06 11:29:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0022#2020-03-06 11:00:00,2020-03-06 11:29:59","thirtyminutes0022","2020-03-06 11:00:00","2020-03-06 11:29:59",1,7,1,0,4.99991666666667,0
"thirtyminutes0022#2020-10-30 11:00:00,2020-10-30 11:29:59","thirtyminutes0022","2020-10-30 11:00:00","2020-10-30 11:29:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0022#2020-10-30 11:00:00,2020-10-30 11:29:59","thirtyminutes0022","2020-10-30 11:00:00","2020-10-30 11:29:59",1,7,1,0,4.99991666666667,0
"thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59","thirtyminutes0023","2020-03-06 11:30:00","2020-03-06 11:59:59",1,7,1,0,4.99991666666667,0 "thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59","thirtyminutes0023","2020-03-06 11:30:00","2020-03-06 11:59:59",1,7,1,0,4.99991666666667,0
@ -81,10 +81,10 @@
"thirtyminutes0035#2020-11-02 17:30:00,2020-11-02 17:59:59","thirtyminutes0035","2020-11-02 17:30:00","2020-11-02 17:59:59",1,0,1,0,0,0.999983333333333 "thirtyminutes0035#2020-11-02 17:30:00,2020-11-02 17:59:59","thirtyminutes0035","2020-11-02 17:30:00","2020-11-02 17:59:59",1,0,1,0,0,0.999983333333333
"thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59","thirtyminutes0036","2020-03-06 18:00:00","2020-03-06 18:29:59",2,0,1,0,0,9.99983333333333 "thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59","thirtyminutes0036","2020-03-06 18:00:00","2020-03-06 18:29:59",2,0,1,0,0,9.99983333333333
"thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59","thirtyminutes0036","2020-10-30 18:00:00","2020-10-30 18:29:59",2,0,1,0,0,9.99983333333333 "thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59","thirtyminutes0036","2020-10-30 18:00:00","2020-10-30 18:29:59",2,0,1,0,0,9.99983333333333
"thirtyminutes0037#2020-03-06 18:30:00,2020-03-06 18:59:59","thirtyminutes0037","2020-03-06 18:30:00","2020-03-06 18:59:59",1,7,1,0,5.69215,0 "thirtyminutes0037#2020-03-06 18:30:00,2020-03-06 18:59:59","thirtyminutes0037","2020-03-06 18:30:00","2020-03-06 18:59:59",1,7,1,0,5.69215,NA
"thirtyminutes0037#2020-03-09 18:30:00,2020-03-09 18:59:59","thirtyminutes0037","2020-03-09 18:30:00","2020-03-09 18:59:59",1,0,1,0,0,4.99991666666667 "thirtyminutes0037#2020-03-09 18:30:00,2020-03-09 18:59:59","thirtyminutes0037","2020-03-09 18:30:00","2020-03-09 18:59:59",1,0,1,0,NA,4.99991666666667
"thirtyminutes0037#2020-10-30 18:30:00,2020-10-30 18:59:59","thirtyminutes0037","2020-10-30 18:30:00","2020-10-30 18:59:59",1,7,1,0,5.69215,0 "thirtyminutes0037#2020-10-30 18:30:00,2020-10-30 18:59:59","thirtyminutes0037","2020-10-30 18:30:00","2020-10-30 18:59:59",1,7,1,0,5.69215,NA
"thirtyminutes0037#2020-11-02 18:30:00,2020-11-02 18:59:59","thirtyminutes0037","2020-11-02 18:30:00","2020-11-02 18:59:59",1,0,1,0,0,4.99991666666667 "thirtyminutes0037#2020-11-02 18:30:00,2020-11-02 18:59:59","thirtyminutes0037","2020-11-02 18:30:00","2020-11-02 18:59:59",1,0,1,0,NA,4.99991666666667
"thirtyminutes0038#2020-03-06 19:00:00,2020-03-06 19:29:59","thirtyminutes0038","2020-03-06 19:00:00","2020-03-06 19:29:59",4,7,2,0,15.7384333333333,0 "thirtyminutes0038#2020-03-06 19:00:00,2020-03-06 19:29:59","thirtyminutes0038","2020-03-06 19:00:00","2020-03-06 19:29:59",4,7,2,0,15.7384333333333,0
"thirtyminutes0038#2020-10-30 19:00:00,2020-10-30 19:29:59","thirtyminutes0038","2020-10-30 19:00:00","2020-10-30 19:29:59",4,7,2,0,15.7384333333333,0 "thirtyminutes0038#2020-10-30 19:00:00,2020-10-30 19:29:59","thirtyminutes0038","2020-10-30 19:00:00","2020-10-30 19:29:59",4,7,2,0,15.7384333333333,0
"thirtyminutes0039#2020-03-06 19:30:00,2020-03-06 19:59:59","thirtyminutes0039","2020-03-06 19:30:00","2020-03-06 19:59:59",2,1,1,0,6.71366666666667,0 "thirtyminutes0039#2020-03-06 19:30:00,2020-03-06 19:59:59","thirtyminutes0039","2020-03-06 19:30:00","2020-03-06 19:59:59",2,1,1,0,6.71366666666667,0

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_activity_recognition_rapids_count phone_activity_recognition_rapids_mostcommonactivity phone_activity_recognition_rapids_countuniqueactivities phone_activity_recognition_rapids_durationstationary phone_activity_recognition_rapids_durationmobile phone_activity_recognition_rapids_durationvehicle
35 thirtyminutes0018#2020-03-07 09:00:00,2020-03-07 09:29:59 thirtyminutes0018 2020-03-07 09:00:00 2020-03-07 09:29:59 1 7 1 0 4.99991666666667 0
36 thirtyminutes0018#2020-10-30 09:00:00,2020-10-30 09:29:59 thirtyminutes0018 2020-10-30 09:00:00 2020-10-30 09:29:59 2 8 1 0 9.99983333333333 0
37 thirtyminutes0018#2020-10-31 09:00:00,2020-10-31 09:29:59 thirtyminutes0018 2020-10-31 09:00:00 2020-10-31 09:29:59 1 7 1 0 4.99991666666667 0
38 thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59 thirtyminutes0020 2020-03-06 10:00:00 2020-03-06 10:29:59 1 0 1 0 0 NA 10.15325
39 thirtyminutes0020#2020-03-07 10:00:00,2020-03-07 10:29:59 thirtyminutes0020 2020-03-07 10:00:00 2020-03-07 10:29:59 1 7 1 0 4.99991666666667 0 NA
40 thirtyminutes0020#2020-03-09 10:00:00,2020-03-09 10:29:59 thirtyminutes0020 2020-03-09 10:00:00 2020-03-09 10:29:59 1 7 1 0 4.99991666666667 0 NA
41 thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59 thirtyminutes0020 2020-10-30 10:00:00 2020-10-30 10:29:59 1 0 1 0 0 NA 10.15325
42 thirtyminutes0020#2020-10-31 10:00:00,2020-10-31 10:29:59 thirtyminutes0020 2020-10-31 10:00:00 2020-10-31 10:29:59 1 7 1 0 4.99991666666667 0 NA
43 thirtyminutes0020#2020-11-02 10:00:00,2020-11-02 10:29:59 thirtyminutes0020 2020-11-02 10:00:00 2020-11-02 10:29:59 1 7 1 0 4.99991666666667 0 NA
44 thirtyminutes0021#2020-03-06 10:30:00,2020-03-06 10:59:59 thirtyminutes0021 2020-03-06 10:30:00 2020-03-06 10:59:59 1 0 1 0 0 NA 4.99991666666667
45 thirtyminutes0021#2020-03-09 10:30:00,2020-03-09 10:59:59 thirtyminutes0021 2020-03-09 10:30:00 2020-03-09 10:59:59 1 7 1 0 4.99991666666667 0 NA
46 thirtyminutes0021#2020-10-30 10:30:00,2020-10-30 10:59:59 thirtyminutes0021 2020-10-30 10:30:00 2020-10-30 10:59:59 1 0 1 0 0 NA 4.99991666666667
47 thirtyminutes0021#2020-11-02 10:30:00,2020-11-02 10:59:59 thirtyminutes0021 2020-11-02 10:30:00 2020-11-02 10:59:59 1 7 1 0 4.99991666666667 0 NA
48 thirtyminutes0022#2020-03-06 11:00:00,2020-03-06 11:29:59 thirtyminutes0022 2020-03-06 11:00:00 2020-03-06 11:29:59 1 7 1 0 4.99991666666667 0
49 thirtyminutes0022#2020-10-30 11:00:00,2020-10-30 11:29:59 thirtyminutes0022 2020-10-30 11:00:00 2020-10-30 11:29:59 1 7 1 0 4.99991666666667 0
50 thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59 thirtyminutes0023 2020-03-06 11:30:00 2020-03-06 11:59:59 1 7 1 0 4.99991666666667 0
81 thirtyminutes0035#2020-11-02 17:30:00,2020-11-02 17:59:59 thirtyminutes0035 2020-11-02 17:30:00 2020-11-02 17:59:59 1 0 1 0 0 0.999983333333333
82 thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59 thirtyminutes0036 2020-03-06 18:00:00 2020-03-06 18:29:59 2 0 1 0 0 9.99983333333333
83 thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59 thirtyminutes0036 2020-10-30 18:00:00 2020-10-30 18:29:59 2 0 1 0 0 9.99983333333333
84 thirtyminutes0037#2020-03-06 18:30:00,2020-03-06 18:59:59 thirtyminutes0037 2020-03-06 18:30:00 2020-03-06 18:59:59 1 7 1 0 5.69215 0 NA
85 thirtyminutes0037#2020-03-09 18:30:00,2020-03-09 18:59:59 thirtyminutes0037 2020-03-09 18:30:00 2020-03-09 18:59:59 1 0 1 0 0 NA 4.99991666666667
86 thirtyminutes0037#2020-10-30 18:30:00,2020-10-30 18:59:59 thirtyminutes0037 2020-10-30 18:30:00 2020-10-30 18:59:59 1 7 1 0 5.69215 0 NA
87 thirtyminutes0037#2020-11-02 18:30:00,2020-11-02 18:59:59 thirtyminutes0037 2020-11-02 18:30:00 2020-11-02 18:59:59 1 0 1 0 0 NA 4.99991666666667
88 thirtyminutes0038#2020-03-06 19:00:00,2020-03-06 19:29:59 thirtyminutes0038 2020-03-06 19:00:00 2020-03-06 19:29:59 4 7 2 0 15.7384333333333 0
89 thirtyminutes0038#2020-10-30 19:00:00,2020-10-30 19:29:59 thirtyminutes0038 2020-10-30 19:00:00 2020-10-30 19:29:59 4 7 2 0 15.7384333333333 0
90 thirtyminutes0039#2020-03-06 19:30:00,2020-03-06 19:59:59 thirtyminutes0039 2020-03-06 19:30:00 2020-03-06 19:59:59 2 1 1 0 6.71366666666667 0

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@ -1,49 +0,0 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_countdischarge","phone_battery_rapids_sumdurationdischarge","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_maxconsumptionrate","phone_battery_rapids_countcharge","phone_battery_rapids_sumdurationcharge"
"thirtyminutes0000#2020-03-06 00:00:00,2020-03-06 00:29:59","thirtyminutes0000","2020-03-06 00:00:00","2020-03-06 00:29:59",1,21.8259833333333,0.137450851775292,0.137450851775292,0,0
"thirtyminutes0000#2020-10-30 00:00:00,2020-10-30 00:29:59","thirtyminutes0000","2020-10-30 00:00:00","2020-10-30 00:29:59",1,21.8259833333333,0.137450851775292,0.137450851775292,0,0
"thirtyminutes0006#2020-03-06 03:00:00,2020-03-06 03:29:59","thirtyminutes0006","2020-03-06 03:00:00","2020-03-06 03:29:59",0,0,0,0,1,9.49288333333333
"thirtyminutes0006#2020-10-30 03:00:00,2020-10-30 03:29:59","thirtyminutes0006","2020-10-30 03:00:00","2020-10-30 03:29:59",0,0,0,0,1,9.49288333333333
"thirtyminutes0007#2020-03-06 03:30:00,2020-03-06 03:59:59","thirtyminutes0007","2020-03-06 03:30:00","2020-03-06 03:59:59",0,0,0,0,1,29.9994666666667
"thirtyminutes0007#2020-10-30 03:30:00,2020-10-30 03:59:59","thirtyminutes0007","2020-10-30 03:30:00","2020-10-30 03:59:59",0,0,0,0,1,29.9994666666667
"thirtyminutes0011#2020-03-06 05:30:00,2020-03-06 05:59:59","thirtyminutes0011","2020-03-06 05:30:00","2020-03-06 05:59:59",1,2.49788333333333,0.400338953647421,0.400338953647421,0,0
"thirtyminutes0011#2020-03-09 05:30:00,2020-03-09 05:59:59","thirtyminutes0011","2020-03-09 05:30:00","2020-03-09 05:59:59",1,28.9995166666667,0.0689666666858241,0.0689666666858241,0,0
"thirtyminutes0011#2020-10-30 05:30:00,2020-10-30 05:59:59","thirtyminutes0011","2020-10-30 05:30:00","2020-10-30 05:59:59",1,2.49788333333333,0.400338953647421,0.400338953647421,0,0
"thirtyminutes0011#2020-11-02 05:30:00,2020-11-02 05:59:59","thirtyminutes0011","2020-11-02 05:30:00","2020-11-02 05:59:59",1,28.9995166666667,0.0689666666858241,0.0689666666858241,0,0
"thirtyminutes0012#2020-03-06 06:00:00,2020-03-06 06:29:59","thirtyminutes0012","2020-03-06 06:00:00","2020-03-06 06:29:59",1,29.9994666666667,0.0666678518729222,0.0666678518729222,0,0
"thirtyminutes0012#2020-10-30 06:00:00,2020-10-30 06:29:59","thirtyminutes0012","2020-10-30 06:00:00","2020-10-30 06:29:59",1,29.9994666666667,0.0666678518729222,0.0666678518729222,0,0
"thirtyminutes0014#2020-03-09 07:00:00,2020-03-09 07:29:59","thirtyminutes0014","2020-03-09 07:00:00","2020-03-09 07:29:59",0,0,0,0,1,24.9995833333333
"thirtyminutes0014#2020-11-02 07:00:00,2020-11-02 07:29:59","thirtyminutes0014","2020-11-02 07:00:00","2020-11-02 07:29:59",0,0,0,0,1,24.9995833333333
"thirtyminutes0016#2020-03-06 08:00:00,2020-03-06 08:29:59","thirtyminutes0016","2020-03-06 08:00:00","2020-03-06 08:29:59",0,0,0,0,1,25.4592833333333
"thirtyminutes0016#2020-10-30 08:00:00,2020-10-30 08:29:59","thirtyminutes0016","2020-10-30 08:00:00","2020-10-30 08:29:59",0,0,0,0,1,25.4592833333333
"thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59","thirtyminutes0020","2020-03-06 10:00:00","2020-03-06 10:29:59",1,6.70958333333333,0.298081102900081,0.298081102900081,0,0
"thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59","thirtyminutes0020","2020-10-30 10:00:00","2020-10-30 10:29:59",1,6.70958333333333,0.298081102900081,0.298081102900081,0,0
"thirtyminutes0021#2020-03-06 10:30:00,2020-03-06 10:59:59","thirtyminutes0021","2020-03-06 10:30:00","2020-03-06 10:59:59",1,29.9994833333333,0.0333339074172944,0.0333339074172944,0,0
"thirtyminutes0021#2020-10-30 10:30:00,2020-10-30 10:59:59","thirtyminutes0021","2020-10-30 10:30:00","2020-10-30 10:59:59",1,29.9994833333333,0.0333339074172944,0.0333339074172944,0,0
"thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59","thirtyminutes0023","2020-03-06 11:30:00","2020-03-06 11:59:59",0,0,0,0,1,4.02631666666667
"thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59","thirtyminutes0023","2020-10-30 11:30:00","2020-10-30 11:59:59",0,0,0,0,1,4.02631666666667
"thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59","thirtyminutes0024","2020-03-06 12:00:00","2020-03-06 12:29:59",0,0,0,0,1,29.9994666666667
"thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59","thirtyminutes0024","2020-10-30 12:00:00","2020-10-30 12:29:59",0,0,0,0,1,29.9994666666667
"thirtyminutes0027#2020-03-06 13:30:00,2020-03-06 13:59:59","thirtyminutes0027","2020-03-06 13:30:00","2020-03-06 13:59:59",1,7.87625,0.253927947944771,0.253927947944771,0,0
"thirtyminutes0027#2020-10-30 13:30:00,2020-10-30 13:59:59","thirtyminutes0027","2020-10-30 13:30:00","2020-10-30 13:59:59",1,7.87625,0.253927947944771,0.253927947944771,0,0
"thirtyminutes0028#2020-03-06 14:00:00,2020-03-06 14:29:59","thirtyminutes0028","2020-03-06 14:00:00","2020-03-06 14:29:59",1,29.9994666666667,0.0333339259364611,0.0333339259364611,0,0
"thirtyminutes0028#2020-03-07 14:00:00,2020-03-07 14:29:59","thirtyminutes0028","2020-03-07 14:00:00","2020-03-07 14:29:59",1,29.9161666666667,0.0668534850164627,0.0668534850164627,0,0
"thirtyminutes0028#2020-10-30 14:00:00,2020-10-30 14:29:59","thirtyminutes0028","2020-10-30 14:00:00","2020-10-30 14:29:59",1,29.9994666666667,0.0333339259364611,0.0333339259364611,0,0
"thirtyminutes0028#2020-10-31 14:00:00,2020-10-31 14:29:59","thirtyminutes0028","2020-10-31 14:00:00","2020-10-31 14:29:59",1,29.9161666666667,0.0668534850164627,0.0668534850164627,0,0
"thirtyminutes0032#2020-03-06 16:00:00,2020-03-06 16:29:59","thirtyminutes0032","2020-03-06 16:00:00","2020-03-06 16:29:59",0,0,0,0,1,16.54275
"thirtyminutes0032#2020-10-30 16:00:00,2020-10-30 16:29:59","thirtyminutes0032","2020-10-30 16:00:00","2020-10-30 16:29:59",0,0,0,0,1,16.54275
"thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59","thirtyminutes0035","2020-03-06 17:30:00","2020-03-06 17:59:59",1,3.94786666666667,0.253301361072647,0.253301361072647,0,0
"thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59","thirtyminutes0035","2020-10-30 17:30:00","2020-10-30 17:59:59",1,3.94786666666667,0.253301361072647,0.253301361072647,0,0
"thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59","thirtyminutes0036","2020-03-06 18:00:00","2020-03-06 18:29:59",1,29.9994666666667,0.0666678518729222,0.0666678518729222,0,0
"thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59","thirtyminutes0036","2020-10-30 18:00:00","2020-10-30 18:29:59",1,29.9994666666667,0.0666678518729222,0.0666678518729222,0,0
"thirtyminutes0037#2020-03-07 18:30:00,2020-03-07 18:59:59","thirtyminutes0037","2020-03-07 18:30:00","2020-03-07 18:59:59",0,0,0,0,1,27.9995333333333
"thirtyminutes0037#2020-10-31 18:30:00,2020-10-31 18:59:59","thirtyminutes0037","2020-10-31 18:30:00","2020-10-31 18:59:59",0,0,0,0,1,27.9995333333333
"thirtyminutes0040#2020-03-06 20:00:00,2020-03-06 20:29:59","thirtyminutes0040","2020-03-06 20:00:00","2020-03-06 20:29:59",0,0,0,0,1,26.9425666666667
"thirtyminutes0040#2020-10-30 20:00:00,2020-10-30 20:29:59","thirtyminutes0040","2020-10-30 20:00:00","2020-10-30 20:29:59",0,0,0,0,1,26.9425666666667
"thirtyminutes0043#2020-03-06 21:30:00,2020-03-06 21:59:59","thirtyminutes0043","2020-03-06 21:30:00","2020-03-06 21:59:59",1,9.95743333333333,0.301282459000479,0.301282459000479,1,19.9684
"thirtyminutes0043#2020-03-07 21:30:00,2020-03-07 21:59:59","thirtyminutes0043","2020-03-07 21:30:00","2020-03-07 21:59:59",1,19.9996666666667,0.100001666694445,0.100001666694445,1,9.99983333333333
"thirtyminutes0043#2020-10-30 21:30:00,2020-10-30 21:59:59","thirtyminutes0043","2020-10-30 21:30:00","2020-10-30 21:59:59",1,9.95743333333333,0.301282459000479,0.301282459000479,1,19.9684
"thirtyminutes0043#2020-10-31 21:30:00,2020-10-31 21:59:59","thirtyminutes0043","2020-10-31 21:30:00","2020-10-31 21:59:59",1,19.9996666666667,0.100001666694445,0.100001666694445,1,9.99983333333333
"thirtyminutes0044#2020-03-08 22:00:00,2020-03-08 22:29:59","thirtyminutes0044","2020-03-08 22:00:00","2020-03-08 22:29:59",1,14.99975,0.133335555592593,0.133335555592593,1,14.99975
"thirtyminutes0044#2020-11-01 22:00:00,2020-11-01 22:29:59","thirtyminutes0044","2020-11-01 22:00:00","2020-11-01 22:29:59",1,14.99975,0.133335555592593,0.133335555592593,1,14.99975
"thirtyminutes0047#2020-03-06 23:30:00,2020-03-06 23:59:59","thirtyminutes0047","2020-03-06 23:30:00","2020-03-06 23:59:59",1,2.20203333333333,0.454125732277743,0.454125732277743,0,0
"thirtyminutes0047#2020-10-30 23:30:00,2020-10-30 23:59:59","thirtyminutes0047","2020-10-30 23:30:00","2020-10-30 23:59:59",1,2.20203333333333,0.454125732277743,0.454125732277743,0,0
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_countdischarge phone_battery_rapids_sumdurationdischarge phone_battery_rapids_avgconsumptionrate phone_battery_rapids_maxconsumptionrate phone_battery_rapids_countcharge phone_battery_rapids_sumdurationcharge
2 thirtyminutes0000#2020-03-06 00:00:00,2020-03-06 00:29:59 thirtyminutes0000 2020-03-06 00:00:00 2020-03-06 00:29:59 1 21.8259833333333 0.137450851775292 0.137450851775292 0 0
3 thirtyminutes0000#2020-10-30 00:00:00,2020-10-30 00:29:59 thirtyminutes0000 2020-10-30 00:00:00 2020-10-30 00:29:59 1 21.8259833333333 0.137450851775292 0.137450851775292 0 0
4 thirtyminutes0006#2020-03-06 03:00:00,2020-03-06 03:29:59 thirtyminutes0006 2020-03-06 03:00:00 2020-03-06 03:29:59 0 0 0 0 1 9.49288333333333
5 thirtyminutes0006#2020-10-30 03:00:00,2020-10-30 03:29:59 thirtyminutes0006 2020-10-30 03:00:00 2020-10-30 03:29:59 0 0 0 0 1 9.49288333333333
6 thirtyminutes0007#2020-03-06 03:30:00,2020-03-06 03:59:59 thirtyminutes0007 2020-03-06 03:30:00 2020-03-06 03:59:59 0 0 0 0 1 29.9994666666667
7 thirtyminutes0007#2020-10-30 03:30:00,2020-10-30 03:59:59 thirtyminutes0007 2020-10-30 03:30:00 2020-10-30 03:59:59 0 0 0 0 1 29.9994666666667
8 thirtyminutes0011#2020-03-06 05:30:00,2020-03-06 05:59:59 thirtyminutes0011 2020-03-06 05:30:00 2020-03-06 05:59:59 1 2.49788333333333 0.400338953647421 0.400338953647421 0 0
9 thirtyminutes0011#2020-03-09 05:30:00,2020-03-09 05:59:59 thirtyminutes0011 2020-03-09 05:30:00 2020-03-09 05:59:59 1 28.9995166666667 0.0689666666858241 0.0689666666858241 0 0
10 thirtyminutes0011#2020-10-30 05:30:00,2020-10-30 05:59:59 thirtyminutes0011 2020-10-30 05:30:00 2020-10-30 05:59:59 1 2.49788333333333 0.400338953647421 0.400338953647421 0 0
11 thirtyminutes0011#2020-11-02 05:30:00,2020-11-02 05:59:59 thirtyminutes0011 2020-11-02 05:30:00 2020-11-02 05:59:59 1 28.9995166666667 0.0689666666858241 0.0689666666858241 0 0
12 thirtyminutes0012#2020-03-06 06:00:00,2020-03-06 06:29:59 thirtyminutes0012 2020-03-06 06:00:00 2020-03-06 06:29:59 1 29.9994666666667 0.0666678518729222 0.0666678518729222 0 0
13 thirtyminutes0012#2020-10-30 06:00:00,2020-10-30 06:29:59 thirtyminutes0012 2020-10-30 06:00:00 2020-10-30 06:29:59 1 29.9994666666667 0.0666678518729222 0.0666678518729222 0 0
14 thirtyminutes0014#2020-03-09 07:00:00,2020-03-09 07:29:59 thirtyminutes0014 2020-03-09 07:00:00 2020-03-09 07:29:59 0 0 0 0 1 24.9995833333333
15 thirtyminutes0014#2020-11-02 07:00:00,2020-11-02 07:29:59 thirtyminutes0014 2020-11-02 07:00:00 2020-11-02 07:29:59 0 0 0 0 1 24.9995833333333
16 thirtyminutes0016#2020-03-06 08:00:00,2020-03-06 08:29:59 thirtyminutes0016 2020-03-06 08:00:00 2020-03-06 08:29:59 0 0 0 0 1 25.4592833333333
17 thirtyminutes0016#2020-10-30 08:00:00,2020-10-30 08:29:59 thirtyminutes0016 2020-10-30 08:00:00 2020-10-30 08:29:59 0 0 0 0 1 25.4592833333333
18 thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59 thirtyminutes0020 2020-03-06 10:00:00 2020-03-06 10:29:59 1 6.70958333333333 0.298081102900081 0.298081102900081 0 0
19 thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59 thirtyminutes0020 2020-10-30 10:00:00 2020-10-30 10:29:59 1 6.70958333333333 0.298081102900081 0.298081102900081 0 0
20 thirtyminutes0021#2020-03-06 10:30:00,2020-03-06 10:59:59 thirtyminutes0021 2020-03-06 10:30:00 2020-03-06 10:59:59 1 29.9994833333333 0.0333339074172944 0.0333339074172944 0 0
21 thirtyminutes0021#2020-10-30 10:30:00,2020-10-30 10:59:59 thirtyminutes0021 2020-10-30 10:30:00 2020-10-30 10:59:59 1 29.9994833333333 0.0333339074172944 0.0333339074172944 0 0
22 thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59 thirtyminutes0023 2020-03-06 11:30:00 2020-03-06 11:59:59 0 0 0 0 1 4.02631666666667
23 thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59 thirtyminutes0023 2020-10-30 11:30:00 2020-10-30 11:59:59 0 0 0 0 1 4.02631666666667
24 thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59 thirtyminutes0024 2020-03-06 12:00:00 2020-03-06 12:29:59 0 0 0 0 1 29.9994666666667
25 thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59 thirtyminutes0024 2020-10-30 12:00:00 2020-10-30 12:29:59 0 0 0 0 1 29.9994666666667
26 thirtyminutes0027#2020-03-06 13:30:00,2020-03-06 13:59:59 thirtyminutes0027 2020-03-06 13:30:00 2020-03-06 13:59:59 1 7.87625 0.253927947944771 0.253927947944771 0 0
27 thirtyminutes0027#2020-10-30 13:30:00,2020-10-30 13:59:59 thirtyminutes0027 2020-10-30 13:30:00 2020-10-30 13:59:59 1 7.87625 0.253927947944771 0.253927947944771 0 0
28 thirtyminutes0028#2020-03-06 14:00:00,2020-03-06 14:29:59 thirtyminutes0028 2020-03-06 14:00:00 2020-03-06 14:29:59 1 29.9994666666667 0.0333339259364611 0.0333339259364611 0 0
29 thirtyminutes0028#2020-03-07 14:00:00,2020-03-07 14:29:59 thirtyminutes0028 2020-03-07 14:00:00 2020-03-07 14:29:59 1 29.9161666666667 0.0668534850164627 0.0668534850164627 0 0
30 thirtyminutes0028#2020-10-30 14:00:00,2020-10-30 14:29:59 thirtyminutes0028 2020-10-30 14:00:00 2020-10-30 14:29:59 1 29.9994666666667 0.0333339259364611 0.0333339259364611 0 0
31 thirtyminutes0028#2020-10-31 14:00:00,2020-10-31 14:29:59 thirtyminutes0028 2020-10-31 14:00:00 2020-10-31 14:29:59 1 29.9161666666667 0.0668534850164627 0.0668534850164627 0 0
32 thirtyminutes0032#2020-03-06 16:00:00,2020-03-06 16:29:59 thirtyminutes0032 2020-03-06 16:00:00 2020-03-06 16:29:59 0 0 0 0 1 16.54275
33 thirtyminutes0032#2020-10-30 16:00:00,2020-10-30 16:29:59 thirtyminutes0032 2020-10-30 16:00:00 2020-10-30 16:29:59 0 0 0 0 1 16.54275
34 thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59 thirtyminutes0035 2020-03-06 17:30:00 2020-03-06 17:59:59 1 3.94786666666667 0.253301361072647 0.253301361072647 0 0
35 thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59 thirtyminutes0035 2020-10-30 17:30:00 2020-10-30 17:59:59 1 3.94786666666667 0.253301361072647 0.253301361072647 0 0
36 thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59 thirtyminutes0036 2020-03-06 18:00:00 2020-03-06 18:29:59 1 29.9994666666667 0.0666678518729222 0.0666678518729222 0 0
37 thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59 thirtyminutes0036 2020-10-30 18:00:00 2020-10-30 18:29:59 1 29.9994666666667 0.0666678518729222 0.0666678518729222 0 0
38 thirtyminutes0037#2020-03-07 18:30:00,2020-03-07 18:59:59 thirtyminutes0037 2020-03-07 18:30:00 2020-03-07 18:59:59 0 0 0 0 1 27.9995333333333
39 thirtyminutes0037#2020-10-31 18:30:00,2020-10-31 18:59:59 thirtyminutes0037 2020-10-31 18:30:00 2020-10-31 18:59:59 0 0 0 0 1 27.9995333333333
40 thirtyminutes0040#2020-03-06 20:00:00,2020-03-06 20:29:59 thirtyminutes0040 2020-03-06 20:00:00 2020-03-06 20:29:59 0 0 0 0 1 26.9425666666667
41 thirtyminutes0040#2020-10-30 20:00:00,2020-10-30 20:29:59 thirtyminutes0040 2020-10-30 20:00:00 2020-10-30 20:29:59 0 0 0 0 1 26.9425666666667
42 thirtyminutes0043#2020-03-06 21:30:00,2020-03-06 21:59:59 thirtyminutes0043 2020-03-06 21:30:00 2020-03-06 21:59:59 1 9.95743333333333 0.301282459000479 0.301282459000479 1 19.9684
43 thirtyminutes0043#2020-03-07 21:30:00,2020-03-07 21:59:59 thirtyminutes0043 2020-03-07 21:30:00 2020-03-07 21:59:59 1 19.9996666666667 0.100001666694445 0.100001666694445 1 9.99983333333333
44 thirtyminutes0043#2020-10-30 21:30:00,2020-10-30 21:59:59 thirtyminutes0043 2020-10-30 21:30:00 2020-10-30 21:59:59 1 9.95743333333333 0.301282459000479 0.301282459000479 1 19.9684
45 thirtyminutes0043#2020-10-31 21:30:00,2020-10-31 21:59:59 thirtyminutes0043 2020-10-31 21:30:00 2020-10-31 21:59:59 1 19.9996666666667 0.100001666694445 0.100001666694445 1 9.99983333333333
46 thirtyminutes0044#2020-03-08 22:00:00,2020-03-08 22:29:59 thirtyminutes0044 2020-03-08 22:00:00 2020-03-08 22:29:59 1 14.99975 0.133335555592593 0.133335555592593 1 14.99975
47 thirtyminutes0044#2020-11-01 22:00:00,2020-11-01 22:29:59 thirtyminutes0044 2020-11-01 22:00:00 2020-11-01 22:29:59 1 14.99975 0.133335555592593 0.133335555592593 1 14.99975
48 thirtyminutes0047#2020-03-06 23:30:00,2020-03-06 23:59:59 thirtyminutes0047 2020-03-06 23:30:00 2020-03-06 23:59:59 1 2.20203333333333 0.454125732277743 0.454125732277743 0 0
49 thirtyminutes0047#2020-10-30 23:30:00,2020-10-30 23:59:59 thirtyminutes0047 2020-10-30 23:30:00 2020-10-30 23:59:59 1 2.20203333333333 0.454125732277743 0.454125732277743 0 0

View File

@ -1,115 +1,115 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_calls_rapids_missed_count","phone_calls_rapids_missed_distinctcontacts","phone_calls_rapids_missed_timefirstcall","phone_calls_rapids_missed_timelastcall","phone_calls_rapids_missed_countmostfrequentcontact","phone_calls_rapids_incoming_count","phone_calls_rapids_incoming_distinctcontacts","phone_calls_rapids_incoming_meanduration","phone_calls_rapids_incoming_sumduration","phone_calls_rapids_incoming_minduration","phone_calls_rapids_incoming_maxduration","phone_calls_rapids_incoming_stdduration","phone_calls_rapids_incoming_modeduration","phone_calls_rapids_incoming_entropyduration","phone_calls_rapids_incoming_timefirstcall","phone_calls_rapids_incoming_timelastcall","phone_calls_rapids_incoming_countmostfrequentcontact","phone_calls_rapids_outgoing_count","phone_calls_rapids_outgoing_distinctcontacts","phone_calls_rapids_outgoing_meanduration","phone_calls_rapids_outgoing_sumduration","phone_calls_rapids_outgoing_minduration","phone_calls_rapids_outgoing_maxduration","phone_calls_rapids_outgoing_stdduration","phone_calls_rapids_outgoing_modeduration","phone_calls_rapids_outgoing_entropyduration","phone_calls_rapids_outgoing_timefirstcall","phone_calls_rapids_outgoing_timelastcall","phone_calls_rapids_outgoing_countmostfrequentcontact" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_calls_rapids_missed_count","phone_calls_rapids_missed_distinctcontacts","phone_calls_rapids_missed_timefirstcall","phone_calls_rapids_missed_timelastcall","phone_calls_rapids_missed_countmostfrequentcontact","phone_calls_rapids_incoming_count","phone_calls_rapids_incoming_distinctcontacts","phone_calls_rapids_incoming_meanduration","phone_calls_rapids_incoming_sumduration","phone_calls_rapids_incoming_minduration","phone_calls_rapids_incoming_maxduration","phone_calls_rapids_incoming_stdduration","phone_calls_rapids_incoming_modeduration","phone_calls_rapids_incoming_entropyduration","phone_calls_rapids_incoming_timefirstcall","phone_calls_rapids_incoming_timelastcall","phone_calls_rapids_incoming_countmostfrequentcontact","phone_calls_rapids_outgoing_count","phone_calls_rapids_outgoing_distinctcontacts","phone_calls_rapids_outgoing_meanduration","phone_calls_rapids_outgoing_sumduration","phone_calls_rapids_outgoing_minduration","phone_calls_rapids_outgoing_maxduration","phone_calls_rapids_outgoing_stdduration","phone_calls_rapids_outgoing_modeduration","phone_calls_rapids_outgoing_entropyduration","phone_calls_rapids_outgoing_timefirstcall","phone_calls_rapids_outgoing_timelastcall","phone_calls_rapids_outgoing_countmostfrequentcontact"
"thirtyminutes0000#2020-03-06 00:00:00,2020-03-06 00:29:59","thirtyminutes0000","2020-03-06 00:00:00","2020-03-06 00:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,13,13,1 "thirtyminutes0000#2020-03-06 00:00:00,2020-03-06 00:29:59","thirtyminutes0000","2020-03-06 00:00:00","2020-03-06 00:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,13,13,1
"thirtyminutes0000#2020-10-30 00:00:00,2020-10-30 00:29:59","thirtyminutes0000","2020-10-30 00:00:00","2020-10-30 00:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,13,13,0 "thirtyminutes0000#2020-10-30 00:00:00,2020-10-30 00:29:59","thirtyminutes0000","2020-10-30 00:00:00","2020-10-30 00:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,13,13,0
"thirtyminutes0001#2020-03-06 00:30:00,2020-03-06 00:59:59","thirtyminutes0001","2020-03-06 00:30:00","2020-03-06 00:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,57,57,1 "thirtyminutes0001#2020-03-06 00:30:00,2020-03-06 00:59:59","thirtyminutes0001","2020-03-06 00:30:00","2020-03-06 00:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,57,57,1
"thirtyminutes0001#2020-10-30 00:30:00,2020-10-30 00:59:59","thirtyminutes0001","2020-10-30 00:30:00","2020-10-30 00:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,57,57,0 "thirtyminutes0001#2020-10-30 00:30:00,2020-10-30 00:59:59","thirtyminutes0001","2020-10-30 00:30:00","2020-10-30 00:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,57,57,0
"thirtyminutes0005#2020-03-06 02:30:00,2020-03-06 02:59:59","thirtyminutes0005","2020-03-06 02:30:00","2020-03-06 02:59:59",0,0,NA,NA,0,1,1,449,449,449,449,NA,449,0,163,163,1,1,1,472.999,472.999,472.999,472.999,NA,472.999,0,172,172,1 "thirtyminutes0005#2020-03-06 02:30:00,2020-03-06 02:59:59","thirtyminutes0005","2020-03-06 02:30:00","2020-03-06 02:59:59",0,0,NA,NA,0,1,1,449,449,449,449,NA,449,0,163,163,1,1,1,472.999,472.999,472.999,472.999,NA,472.999,0,172,172,1
"thirtyminutes0005#2020-10-30 02:30:00,2020-10-30 02:59:59","thirtyminutes0005","2020-10-30 02:30:00","2020-10-30 02:59:59",0,0,NA,NA,0,1,1,449,449,449,449,NA,449,0,163,163,0,1,1,472.999,472.999,472.999,472.999,NA,472.999,0,172,172,0 "thirtyminutes0005#2020-10-30 02:30:00,2020-10-30 02:59:59","thirtyminutes0005","2020-10-30 02:30:00","2020-10-30 02:59:59",0,0,NA,NA,0,1,1,449,449,449,449,NA,449,0,163,163,0,1,1,472.999,472.999,472.999,472.999,NA,472.999,0,172,172,0
"thirtyminutes0006#2020-03-06 03:00:00,2020-03-06 03:29:59","thirtyminutes0006","2020-03-06 03:00:00","2020-03-06 03:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,507,507,507,507,NA,507,0,180,180,1 "thirtyminutes0006#2020-03-06 03:00:00,2020-03-06 03:29:59","thirtyminutes0006","2020-03-06 03:00:00","2020-03-06 03:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,507,507,507,507,NA,507,0,180,180,1
"thirtyminutes0006#2020-03-09 03:00:00,2020-03-09 03:29:59","thirtyminutes0006","2020-03-09 03:00:00","2020-03-09 03:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,198,198,0 "thirtyminutes0006#2020-03-09 03:00:00,2020-03-09 03:29:59","thirtyminutes0006","2020-03-09 03:00:00","2020-03-09 03:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,198,198,0
"thirtyminutes0006#2020-10-30 03:00:00,2020-10-30 03:29:59","thirtyminutes0006","2020-10-30 03:00:00","2020-10-30 03:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,507,507,507,507,NA,507,0,180,180,0 "thirtyminutes0006#2020-10-30 03:00:00,2020-10-30 03:29:59","thirtyminutes0006","2020-10-30 03:00:00","2020-10-30 03:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,507,507,507,507,NA,507,0,180,180,0
"thirtyminutes0006#2020-11-02 03:00:00,2020-11-02 03:29:59","thirtyminutes0006","2020-11-02 03:00:00","2020-11-02 03:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,198,198,0 "thirtyminutes0006#2020-11-02 03:00:00,2020-11-02 03:29:59","thirtyminutes0006","2020-11-02 03:00:00","2020-11-02 03:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,198,198,0
"thirtyminutes0007#2020-03-08 03:30:00,2020-03-08 03:59:59","thirtyminutes0007","2020-03-08 03:30:00","2020-03-08 03:59:59",0,0,NA,NA,0,1,1,159.999,159.999,159.999,159.999,NA,159.999,0,237,237,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0007#2020-03-08 03:30:00,2020-03-08 03:59:59","thirtyminutes0007","2020-03-08 03:30:00","2020-03-08 03:59:59",0,0,NA,NA,0,1,1,159.999,159.999,159.999,159.999,NA,159.999,0,237,237,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0007#2020-11-01 03:30:00,2020-11-01 03:59:59","thirtyminutes0007","2020-11-01 03:30:00","2020-11-01 03:59:59",0,0,NA,NA,0,1,1,159.999,159.999,159.999,159.999,NA,159.999,0,237,237,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0007#2020-11-01 03:30:00,2020-11-01 03:59:59","thirtyminutes0007","2020-11-01 03:30:00","2020-11-01 03:59:59",0,0,NA,NA,0,1,1,159.999,159.999,159.999,159.999,NA,159.999,0,237,237,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0008#2020-03-06 04:00:00,2020-03-06 04:29:59","thirtyminutes0008","2020-03-06 04:00:00","2020-03-06 04:29:59",0,0,NA,NA,0,1,1,767.999,767.999,767.999,767.999,NA,767.999,0,257,257,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0008#2020-03-06 04:00:00,2020-03-06 04:29:59","thirtyminutes0008","2020-03-06 04:00:00","2020-03-06 04:29:59",0,0,NA,NA,0,1,1,767.999,767.999,767.999,767.999,NA,767.999,0,257,257,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0008#2020-03-08 04:00:00,2020-03-08 04:29:59","thirtyminutes0008","2020-03-08 04:00:00","2020-03-08 04:29:59",0,0,NA,NA,0,1,1,825,825,825,825,NA,825,0,240,240,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0008#2020-03-08 04:00:00,2020-03-08 04:29:59","thirtyminutes0008","2020-03-08 04:00:00","2020-03-08 04:29:59",0,0,NA,NA,0,1,1,825,825,825,825,NA,825,0,240,240,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0008#2020-03-09 04:00:00,2020-03-09 04:29:59","thirtyminutes0008","2020-03-09 04:00:00","2020-03-09 04:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,109.999,109.999,109.999,109.999,NA,109.999,0,268,268,1 "thirtyminutes0008#2020-03-09 04:00:00,2020-03-09 04:29:59","thirtyminutes0008","2020-03-09 04:00:00","2020-03-09 04:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,109.999,109.999,109.999,109.999,NA,109.999,0,268,268,1
"thirtyminutes0008#2020-10-30 04:00:00,2020-10-30 04:29:59","thirtyminutes0008","2020-10-30 04:00:00","2020-10-30 04:29:59",0,0,NA,NA,0,1,1,767.999,767.999,767.999,767.999,NA,767.999,0,257,257,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0008#2020-10-30 04:00:00,2020-10-30 04:29:59","thirtyminutes0008","2020-10-30 04:00:00","2020-10-30 04:29:59",0,0,NA,NA,0,1,1,767.999,767.999,767.999,767.999,NA,767.999,0,257,257,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0008#2020-11-01 04:00:00,2020-11-01 04:29:59","thirtyminutes0008","2020-11-01 04:00:00","2020-11-01 04:29:59",0,0,NA,NA,0,1,1,825,825,825,825,NA,825,0,240,240,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0008#2020-11-01 04:00:00,2020-11-01 04:29:59","thirtyminutes0008","2020-11-01 04:00:00","2020-11-01 04:29:59",0,0,NA,NA,0,1,1,825,825,825,825,NA,825,0,240,240,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0008#2020-11-02 04:00:00,2020-11-02 04:29:59","thirtyminutes0008","2020-11-02 04:00:00","2020-11-02 04:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,109.999,109.999,109.999,109.999,NA,109.999,0,268,268,0 "thirtyminutes0008#2020-11-02 04:00:00,2020-11-02 04:29:59","thirtyminutes0008","2020-11-02 04:00:00","2020-11-02 04:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,109.999,109.999,109.999,109.999,NA,109.999,0,268,268,0
"thirtyminutes0009#2020-03-06 04:30:00,2020-03-06 04:59:59","thirtyminutes0009","2020-03-06 04:30:00","2020-03-06 04:59:59",0,0,NA,NA,0,1,1,593,593,593,593,NA,593,0,270,270,1,1,1,0,0,0,0,NA,0,NA,281,281,1 "thirtyminutes0009#2020-03-06 04:30:00,2020-03-06 04:59:59","thirtyminutes0009","2020-03-06 04:30:00","2020-03-06 04:59:59",0,0,NA,NA,0,1,1,593,593,593,593,NA,593,0,270,270,1,1,1,0,0,0,0,NA,0,NA,281,281,1
"thirtyminutes0009#2020-03-09 04:30:00,2020-03-09 04:59:59","thirtyminutes0009","2020-03-09 04:30:00","2020-03-09 04:59:59",0,0,NA,NA,0,1,1,439,439,439,439,NA,439,0,278,278,0,1,1,30,30,30,30,NA,30,0,270,270,0 "thirtyminutes0009#2020-03-09 04:30:00,2020-03-09 04:59:59","thirtyminutes0009","2020-03-09 04:30:00","2020-03-09 04:59:59",0,0,NA,NA,0,1,1,439,439,439,439,NA,439,0,278,278,0,1,1,30,30,30,30,NA,30,0,270,270,0
"thirtyminutes0009#2020-10-30 04:30:00,2020-10-30 04:59:59","thirtyminutes0009","2020-10-30 04:30:00","2020-10-30 04:59:59",0,0,NA,NA,0,1,1,593,593,593,593,NA,593,0,270,270,0,1,1,0,0,0,0,NA,0,NA,281,281,0 "thirtyminutes0009#2020-10-30 04:30:00,2020-10-30 04:59:59","thirtyminutes0009","2020-10-30 04:30:00","2020-10-30 04:59:59",0,0,NA,NA,0,1,1,593,593,593,593,NA,593,0,270,270,0,1,1,0,0,0,0,NA,0,NA,281,281,0
"thirtyminutes0009#2020-11-02 04:30:00,2020-11-02 04:59:59","thirtyminutes0009","2020-11-02 04:30:00","2020-11-02 04:59:59",0,0,NA,NA,0,1,1,439,439,439,439,NA,439,0,278,278,0,1,1,30,30,30,30,NA,30,0,270,270,0 "thirtyminutes0009#2020-11-02 04:30:00,2020-11-02 04:59:59","thirtyminutes0009","2020-11-02 04:30:00","2020-11-02 04:59:59",0,0,NA,NA,0,1,1,439,439,439,439,NA,439,0,278,278,0,1,1,30,30,30,30,NA,30,0,270,270,0
"thirtyminutes0013#2020-03-06 06:30:00,2020-03-06 06:59:59","thirtyminutes0013","2020-03-06 06:30:00","2020-03-06 06:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,1101,1101,1101,1101,NA,1101,0,400,400,1 "thirtyminutes0013#2020-03-06 06:30:00,2020-03-06 06:59:59","thirtyminutes0013","2020-03-06 06:30:00","2020-03-06 06:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,1101,1101,1101,1101,NA,1101,0,400,400,1
"thirtyminutes0013#2020-03-07 06:30:00,2020-03-07 06:59:59","thirtyminutes0013","2020-03-07 06:30:00","2020-03-07 06:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,74.999,74.999,74.999,74.999,NA,74.999,0,418,418,0 "thirtyminutes0013#2020-03-07 06:30:00,2020-03-07 06:59:59","thirtyminutes0013","2020-03-07 06:30:00","2020-03-07 06:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,74.999,74.999,74.999,74.999,NA,74.999,0,418,418,0
"thirtyminutes0013#2020-10-30 06:30:00,2020-10-30 06:59:59","thirtyminutes0013","2020-10-30 06:30:00","2020-10-30 06:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,1101,1101,1101,1101,NA,1101,0,400,400,0 "thirtyminutes0013#2020-10-30 06:30:00,2020-10-30 06:59:59","thirtyminutes0013","2020-10-30 06:30:00","2020-10-30 06:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,1101,1101,1101,1101,NA,1101,0,400,400,0
"thirtyminutes0013#2020-10-31 06:30:00,2020-10-31 06:59:59","thirtyminutes0013","2020-10-31 06:30:00","2020-10-31 06:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,74.999,74.999,74.999,74.999,NA,74.999,0,418,418,0 "thirtyminutes0013#2020-10-31 06:30:00,2020-10-31 06:59:59","thirtyminutes0013","2020-10-31 06:30:00","2020-10-31 06:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,74.999,74.999,74.999,74.999,NA,74.999,0,418,418,0
"thirtyminutes0014#2020-03-07 07:00:00,2020-03-07 07:29:59","thirtyminutes0014","2020-03-07 07:00:00","2020-03-07 07:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,1056,1056,1056,1056,NA,1056,0,420,420,1 "thirtyminutes0014#2020-03-07 07:00:00,2020-03-07 07:29:59","thirtyminutes0014","2020-03-07 07:00:00","2020-03-07 07:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,1056,1056,1056,1056,NA,1056,0,420,420,1
"thirtyminutes0014#2020-10-31 07:00:00,2020-10-31 07:29:59","thirtyminutes0014","2020-10-31 07:00:00","2020-10-31 07:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,1056,1056,1056,1056,NA,1056,0,420,420,0 "thirtyminutes0014#2020-10-31 07:00:00,2020-10-31 07:29:59","thirtyminutes0014","2020-10-31 07:00:00","2020-10-31 07:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,1056,1056,1056,1056,NA,1056,0,420,420,0
"thirtyminutes0016#2020-03-06 08:00:00,2020-03-06 08:29:59","thirtyminutes0016","2020-03-06 08:00:00","2020-03-06 08:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,898.999,898.999,898.999,898.999,NA,898.999,0,495,495,1 "thirtyminutes0016#2020-03-06 08:00:00,2020-03-06 08:29:59","thirtyminutes0016","2020-03-06 08:00:00","2020-03-06 08:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,898.999,898.999,898.999,898.999,NA,898.999,0,495,495,1
"thirtyminutes0016#2020-10-30 08:00:00,2020-10-30 08:29:59","thirtyminutes0016","2020-10-30 08:00:00","2020-10-30 08:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,898.999,898.999,898.999,898.999,NA,898.999,0,495,495,0 "thirtyminutes0016#2020-10-30 08:00:00,2020-10-30 08:29:59","thirtyminutes0016","2020-10-30 08:00:00","2020-10-30 08:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,898.999,898.999,898.999,898.999,NA,898.999,0,495,495,0
"thirtyminutes0017#2020-03-06 08:30:00,2020-03-06 08:59:59","thirtyminutes0017","2020-03-06 08:30:00","2020-03-06 08:59:59",0,0,NA,NA,0,1,1,920,920,920,920,NA,920,0,515,515,1,1,1,177,177,177,177,NA,177,0,510,510,1 "thirtyminutes0017#2020-03-06 08:30:00,2020-03-06 08:59:59","thirtyminutes0017","2020-03-06 08:30:00","2020-03-06 08:59:59",0,0,NA,NA,0,1,1,920,920,920,920,NA,920,0,515,515,1,1,1,177,177,177,177,NA,177,0,510,510,1
"thirtyminutes0017#2020-03-07 08:30:00,2020-03-07 08:59:59","thirtyminutes0017","2020-03-07 08:30:00","2020-03-07 08:59:59",0,0,NA,NA,0,2,2,428,856,183,673,346.482322781408,183,0.519512697612674,512,519,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0017#2020-03-07 08:30:00,2020-03-07 08:59:59","thirtyminutes0017","2020-03-07 08:30:00","2020-03-07 08:59:59",0,0,NA,NA,0,2,2,428,856,183,673,346.482322781408,183,0.519512697612674,512,519,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0017#2020-03-08 08:30:00,2020-03-08 08:59:59","thirtyminutes0017","2020-03-08 08:30:00","2020-03-08 08:59:59",1,1,528,528,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0017#2020-03-08 08:30:00,2020-03-08 08:59:59","thirtyminutes0017","2020-03-08 08:30:00","2020-03-08 08:59:59",1,1,528,528,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0017#2020-10-30 08:30:00,2020-10-30 08:59:59","thirtyminutes0017","2020-10-30 08:30:00","2020-10-30 08:59:59",0,0,NA,NA,0,1,1,920,920,920,920,NA,920,0,515,515,0,1,1,177,177,177,177,NA,177,0,510,510,0 "thirtyminutes0017#2020-10-30 08:30:00,2020-10-30 08:59:59","thirtyminutes0017","2020-10-30 08:30:00","2020-10-30 08:59:59",0,0,NA,NA,0,1,1,920,920,920,920,NA,920,0,515,515,0,1,1,177,177,177,177,NA,177,0,510,510,0
"thirtyminutes0017#2020-10-31 08:30:00,2020-10-31 08:59:59","thirtyminutes0017","2020-10-31 08:30:00","2020-10-31 08:59:59",0,0,NA,NA,0,2,2,428,856,183,673,346.482322781408,183,0.519512697612674,512,519,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0017#2020-10-31 08:30:00,2020-10-31 08:59:59","thirtyminutes0017","2020-10-31 08:30:00","2020-10-31 08:59:59",0,0,NA,NA,0,2,2,428,856,183,673,346.482322781408,183,0.519512697612674,512,519,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0017#2020-11-01 08:30:00,2020-11-01 08:59:59","thirtyminutes0017","2020-11-01 08:30:00","2020-11-01 08:59:59",1,1,528,528,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0017#2020-11-01 08:30:00,2020-11-01 08:59:59","thirtyminutes0017","2020-11-01 08:30:00","2020-11-01 08:59:59",1,1,528,528,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0018#2020-03-09 09:00:00,2020-03-09 09:29:59","thirtyminutes0018","2020-03-09 09:00:00","2020-03-09 09:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,2,2,354.9995,709.999,0,709.999,502.045107535668,0,0,541,558,1 "thirtyminutes0018#2020-03-09 09:00:00,2020-03-09 09:29:59","thirtyminutes0018","2020-03-09 09:00:00","2020-03-09 09:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,2,2,354.9995,709.999,0,709.999,502.045107535668,0,0,541,558,1
"thirtyminutes0018#2020-11-02 09:00:00,2020-11-02 09:29:59","thirtyminutes0018","2020-11-02 09:00:00","2020-11-02 09:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,2,2,354.9995,709.999,0,709.999,502.045107535668,0,0,541,558,0 "thirtyminutes0018#2020-11-02 09:00:00,2020-11-02 09:29:59","thirtyminutes0018","2020-11-02 09:00:00","2020-11-02 09:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,2,2,354.9995,709.999,0,709.999,502.045107535668,0,0,541,558,0
"thirtyminutes0019#2020-03-06 09:30:00,2020-03-06 09:59:59","thirtyminutes0019","2020-03-06 09:30:00","2020-03-06 09:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,589,589,1 "thirtyminutes0019#2020-03-06 09:30:00,2020-03-06 09:59:59","thirtyminutes0019","2020-03-06 09:30:00","2020-03-06 09:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,589,589,1
"thirtyminutes0019#2020-03-07 09:30:00,2020-03-07 09:59:59","thirtyminutes0019","2020-03-07 09:30:00","2020-03-07 09:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,589,589,0 "thirtyminutes0019#2020-03-07 09:30:00,2020-03-07 09:59:59","thirtyminutes0019","2020-03-07 09:30:00","2020-03-07 09:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,589,589,0
"thirtyminutes0019#2020-03-09 09:30:00,2020-03-09 09:59:59","thirtyminutes0019","2020-03-09 09:30:00","2020-03-09 09:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,404,404,404,404,NA,404,0,570,570,0 "thirtyminutes0019#2020-03-09 09:30:00,2020-03-09 09:59:59","thirtyminutes0019","2020-03-09 09:30:00","2020-03-09 09:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,404,404,404,404,NA,404,0,570,570,0
"thirtyminutes0019#2020-10-30 09:30:00,2020-10-30 09:59:59","thirtyminutes0019","2020-10-30 09:30:00","2020-10-30 09:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,589,589,0 "thirtyminutes0019#2020-10-30 09:30:00,2020-10-30 09:59:59","thirtyminutes0019","2020-10-30 09:30:00","2020-10-30 09:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,589,589,0
"thirtyminutes0019#2020-10-31 09:30:00,2020-10-31 09:59:59","thirtyminutes0019","2020-10-31 09:30:00","2020-10-31 09:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,589,589,0 "thirtyminutes0019#2020-10-31 09:30:00,2020-10-31 09:59:59","thirtyminutes0019","2020-10-31 09:30:00","2020-10-31 09:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,589,589,0
"thirtyminutes0019#2020-11-02 09:30:00,2020-11-02 09:59:59","thirtyminutes0019","2020-11-02 09:30:00","2020-11-02 09:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,404,404,404,404,NA,404,0,570,570,0 "thirtyminutes0019#2020-11-02 09:30:00,2020-11-02 09:59:59","thirtyminutes0019","2020-11-02 09:30:00","2020-11-02 09:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,404,404,404,404,NA,404,0,570,570,0
"thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59","thirtyminutes0020","2020-03-06 10:00:00","2020-03-06 10:29:59",0,0,NA,NA,0,1,1,1285,1285,1285,1285,NA,1285,0,600,600,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59","thirtyminutes0020","2020-03-06 10:00:00","2020-03-06 10:29:59",0,0,NA,NA,0,1,1,1285,1285,1285,1285,NA,1285,0,600,600,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0020#2020-03-07 10:00:00,2020-03-07 10:29:59","thirtyminutes0020","2020-03-07 10:00:00","2020-03-07 10:29:59",0,0,NA,NA,0,1,1,1304,1304,1304,1304,NA,1304,0,600,600,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0020#2020-03-07 10:00:00,2020-03-07 10:29:59","thirtyminutes0020","2020-03-07 10:00:00","2020-03-07 10:29:59",0,0,NA,NA,0,1,1,1304,1304,1304,1304,NA,1304,0,600,600,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59","thirtyminutes0020","2020-10-30 10:00:00","2020-10-30 10:29:59",0,0,NA,NA,0,1,1,1285,1285,1285,1285,NA,1285,0,600,600,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59","thirtyminutes0020","2020-10-30 10:00:00","2020-10-30 10:29:59",0,0,NA,NA,0,1,1,1285,1285,1285,1285,NA,1285,0,600,600,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0020#2020-10-31 10:00:00,2020-10-31 10:29:59","thirtyminutes0020","2020-10-31 10:00:00","2020-10-31 10:29:59",0,0,NA,NA,0,1,1,1304,1304,1304,1304,NA,1304,0,600,600,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0020#2020-10-31 10:00:00,2020-10-31 10:29:59","thirtyminutes0020","2020-10-31 10:00:00","2020-10-31 10:29:59",0,0,NA,NA,0,1,1,1304,1304,1304,1304,NA,1304,0,600,600,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0022#2020-03-06 11:00:00,2020-03-06 11:29:59","thirtyminutes0022","2020-03-06 11:00:00","2020-03-06 11:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,1 "thirtyminutes0022#2020-03-06 11:00:00,2020-03-06 11:29:59","thirtyminutes0022","2020-03-06 11:00:00","2020-03-06 11:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,1
"thirtyminutes0022#2020-03-07 11:00:00,2020-03-07 11:29:59","thirtyminutes0022","2020-03-07 11:00:00","2020-03-07 11:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,0 "thirtyminutes0022#2020-03-07 11:00:00,2020-03-07 11:29:59","thirtyminutes0022","2020-03-07 11:00:00","2020-03-07 11:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,0
"thirtyminutes0022#2020-10-30 11:00:00,2020-10-30 11:29:59","thirtyminutes0022","2020-10-30 11:00:00","2020-10-30 11:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,0 "thirtyminutes0022#2020-10-30 11:00:00,2020-10-30 11:29:59","thirtyminutes0022","2020-10-30 11:00:00","2020-10-30 11:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,0
"thirtyminutes0022#2020-10-31 11:00:00,2020-10-31 11:29:59","thirtyminutes0022","2020-10-31 11:00:00","2020-10-31 11:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,0 "thirtyminutes0022#2020-10-31 11:00:00,2020-10-31 11:29:59","thirtyminutes0022","2020-10-31 11:00:00","2020-10-31 11:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,129.999,129.999,129.999,129.999,NA,129.999,0,687,687,0
"thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59","thirtyminutes0023","2020-03-06 11:30:00","2020-03-06 11:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,639,639,639,639,NA,639,0,690,690,1 "thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59","thirtyminutes0023","2020-03-06 11:30:00","2020-03-06 11:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,639,639,639,639,NA,639,0,690,690,1
"thirtyminutes0023#2020-03-07 11:30:00,2020-03-07 11:59:59","thirtyminutes0023","2020-03-07 11:30:00","2020-03-07 11:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,639,639,639,639,NA,639,0,690,690,0 "thirtyminutes0023#2020-03-07 11:30:00,2020-03-07 11:59:59","thirtyminutes0023","2020-03-07 11:30:00","2020-03-07 11:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,639,639,639,639,NA,639,0,690,690,0
"thirtyminutes0023#2020-03-09 11:30:00,2020-03-09 11:59:59","thirtyminutes0023","2020-03-09 11:30:00","2020-03-09 11:59:59",0,0,NA,NA,0,1,1,638,638,638,638,NA,638,0,692,692,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0023#2020-03-09 11:30:00,2020-03-09 11:59:59","thirtyminutes0023","2020-03-09 11:30:00","2020-03-09 11:59:59",0,0,NA,NA,0,1,1,638,638,638,638,NA,638,0,692,692,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59","thirtyminutes0023","2020-10-30 11:30:00","2020-10-30 11:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,639,639,639,639,NA,639,0,690,690,0 "thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59","thirtyminutes0023","2020-10-30 11:30:00","2020-10-30 11:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,639,639,639,639,NA,639,0,690,690,0
"thirtyminutes0023#2020-10-31 11:30:00,2020-10-31 11:59:59","thirtyminutes0023","2020-10-31 11:30:00","2020-10-31 11:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,639,639,639,639,NA,639,0,690,690,0 "thirtyminutes0023#2020-10-31 11:30:00,2020-10-31 11:59:59","thirtyminutes0023","2020-10-31 11:30:00","2020-10-31 11:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,639,639,639,639,NA,639,0,690,690,0
"thirtyminutes0023#2020-11-02 11:30:00,2020-11-02 11:59:59","thirtyminutes0023","2020-11-02 11:30:00","2020-11-02 11:59:59",0,0,NA,NA,0,1,1,638,638,638,638,NA,638,0,692,692,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0023#2020-11-02 11:30:00,2020-11-02 11:59:59","thirtyminutes0023","2020-11-02 11:30:00","2020-11-02 11:59:59",0,0,NA,NA,0,1,1,638,638,638,638,NA,638,0,692,692,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59","thirtyminutes0024","2020-03-08 12:00:00","2020-03-08 12:29:59",0,0,NA,NA,0,1,1,1028,1028,1028,1028,NA,1028,0,724,724,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59","thirtyminutes0024","2020-03-08 12:00:00","2020-03-08 12:29:59",0,0,NA,NA,0,1,1,1028,1028,1028,1028,NA,1028,0,724,724,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59","thirtyminutes0024","2020-11-01 12:00:00","2020-11-01 12:29:59",0,0,NA,NA,0,1,1,1028,1028,1028,1028,NA,1028,0,724,724,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59","thirtyminutes0024","2020-11-01 12:00:00","2020-11-01 12:29:59",0,0,NA,NA,0,1,1,1028,1028,1028,1028,NA,1028,0,724,724,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0025#2020-03-06 12:30:00,2020-03-06 12:59:59","thirtyminutes0025","2020-03-06 12:30:00","2020-03-06 12:59:59",0,0,NA,NA,0,2,2,558.9995,1117.999,48.999,1069,721.24962391706,1069,0.180369911667285,753,779,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0025#2020-03-06 12:30:00,2020-03-06 12:59:59","thirtyminutes0025","2020-03-06 12:30:00","2020-03-06 12:59:59",0,0,NA,NA,0,2,2,558.9995,1117.999,48.999,1069,721.24962391706,1069,0.180369911667285,753,779,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0025#2020-03-08 12:30:00,2020-03-08 12:59:59","thirtyminutes0025","2020-03-08 12:30:00","2020-03-08 12:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,42,42,42,42,NA,42,0,769,769,1 "thirtyminutes0025#2020-03-08 12:30:00,2020-03-08 12:59:59","thirtyminutes0025","2020-03-08 12:30:00","2020-03-08 12:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,42,42,42,42,NA,42,0,769,769,1
"thirtyminutes0025#2020-10-30 12:30:00,2020-10-30 12:59:59","thirtyminutes0025","2020-10-30 12:30:00","2020-10-30 12:59:59",0,0,NA,NA,0,2,2,558.9995,1117.999,48.999,1069,721.24962391706,1069,0.180369911667285,753,779,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0025#2020-10-30 12:30:00,2020-10-30 12:59:59","thirtyminutes0025","2020-10-30 12:30:00","2020-10-30 12:59:59",0,0,NA,NA,0,2,2,558.9995,1117.999,48.999,1069,721.24962391706,1069,0.180369911667285,753,779,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0025#2020-11-01 12:30:00,2020-11-01 12:59:59","thirtyminutes0025","2020-11-01 12:30:00","2020-11-01 12:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,42,42,42,42,NA,42,0,769,769,0 "thirtyminutes0025#2020-11-01 12:30:00,2020-11-01 12:59:59","thirtyminutes0025","2020-11-01 12:30:00","2020-11-01 12:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,42,42,42,42,NA,42,0,769,769,0
"thirtyminutes0026#2020-03-06 13:00:00,2020-03-06 13:29:59","thirtyminutes0026","2020-03-06 13:00:00","2020-03-06 13:29:59",0,0,NA,NA,0,1,1,643,643,643,643,NA,643,0,780,780,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0026#2020-03-06 13:00:00,2020-03-06 13:29:59","thirtyminutes0026","2020-03-06 13:00:00","2020-03-06 13:29:59",0,0,NA,NA,0,1,1,643,643,643,643,NA,643,0,780,780,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0026#2020-10-30 13:00:00,2020-10-30 13:29:59","thirtyminutes0026","2020-10-30 13:00:00","2020-10-30 13:29:59",0,0,NA,NA,0,1,1,643,643,643,643,NA,643,0,780,780,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0026#2020-10-30 13:00:00,2020-10-30 13:29:59","thirtyminutes0026","2020-10-30 13:00:00","2020-10-30 13:29:59",0,0,NA,NA,0,1,1,643,643,643,643,NA,643,0,780,780,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0028#2020-03-06 14:00:00,2020-03-06 14:29:59","thirtyminutes0028","2020-03-06 14:00:00","2020-03-06 14:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,26.999,26.999,26.999,26.999,NA,26.999,0,869,869,1 "thirtyminutes0028#2020-03-06 14:00:00,2020-03-06 14:29:59","thirtyminutes0028","2020-03-06 14:00:00","2020-03-06 14:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,26.999,26.999,26.999,26.999,NA,26.999,0,869,869,1
"thirtyminutes0028#2020-10-30 14:00:00,2020-10-30 14:29:59","thirtyminutes0028","2020-10-30 14:00:00","2020-10-30 14:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,26.999,26.999,26.999,26.999,NA,26.999,0,869,869,0 "thirtyminutes0028#2020-10-30 14:00:00,2020-10-30 14:29:59","thirtyminutes0028","2020-10-30 14:00:00","2020-10-30 14:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,26.999,26.999,26.999,26.999,NA,26.999,0,869,869,0
"thirtyminutes0029#2020-03-06 14:30:00,2020-03-06 14:59:59","thirtyminutes0029","2020-03-06 14:30:00","2020-03-06 14:59:59",1,1,874,874,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,230,230,230,230,NA,230,0,870,870,1 "thirtyminutes0029#2020-03-06 14:30:00,2020-03-06 14:59:59","thirtyminutes0029","2020-03-06 14:30:00","2020-03-06 14:59:59",1,1,874,874,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,230,230,230,230,NA,230,0,870,870,1
"thirtyminutes0029#2020-10-30 14:30:00,2020-10-30 14:59:59","thirtyminutes0029","2020-10-30 14:30:00","2020-10-30 14:59:59",1,1,874,874,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,230,230,230,230,NA,230,0,870,870,0 "thirtyminutes0029#2020-10-30 14:30:00,2020-10-30 14:59:59","thirtyminutes0029","2020-10-30 14:30:00","2020-10-30 14:59:59",1,1,874,874,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,230,230,230,230,NA,230,0,870,870,0
"thirtyminutes0030#2020-03-06 15:00:00,2020-03-06 15:29:59","thirtyminutes0030","2020-03-06 15:00:00","2020-03-06 15:29:59",0,0,NA,NA,0,1,1,223,223,223,223,NA,223,0,921,921,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0030#2020-03-06 15:00:00,2020-03-06 15:29:59","thirtyminutes0030","2020-03-06 15:00:00","2020-03-06 15:29:59",0,0,NA,NA,0,1,1,223,223,223,223,NA,223,0,921,921,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0030#2020-10-30 15:00:00,2020-10-30 15:29:59","thirtyminutes0030","2020-10-30 15:00:00","2020-10-30 15:29:59",0,0,NA,NA,0,1,1,223,223,223,223,NA,223,0,921,921,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0030#2020-10-30 15:00:00,2020-10-30 15:29:59","thirtyminutes0030","2020-10-30 15:00:00","2020-10-30 15:29:59",0,0,NA,NA,0,1,1,223,223,223,223,NA,223,0,921,921,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0032#2020-03-07 16:00:00,2020-03-07 16:29:59","thirtyminutes0032","2020-03-07 16:00:00","2020-03-07 16:29:59",0,0,NA,NA,0,1,1,566,566,566,566,NA,566,0,964,964,1,2,2,400.9995,801.999,0,801.999,567.09893140483,801.999,0,976,987,1 "thirtyminutes0032#2020-03-07 16:00:00,2020-03-07 16:29:59","thirtyminutes0032","2020-03-07 16:00:00","2020-03-07 16:29:59",0,0,NA,NA,0,1,1,566,566,566,566,NA,566,0,964,964,1,2,2,400.9995,801.999,0,801.999,567.09893140483,801.999,0,976,987,1
"thirtyminutes0032#2020-10-31 16:00:00,2020-10-31 16:29:59","thirtyminutes0032","2020-10-31 16:00:00","2020-10-31 16:29:59",0,0,NA,NA,0,1,1,566,566,566,566,NA,566,0,964,964,0,2,2,400.9995,801.999,0,801.999,567.09893140483,801.999,0,976,987,0 "thirtyminutes0032#2020-10-31 16:00:00,2020-10-31 16:29:59","thirtyminutes0032","2020-10-31 16:00:00","2020-10-31 16:29:59",0,0,NA,NA,0,1,1,566,566,566,566,NA,566,0,964,964,0,2,2,400.9995,801.999,0,801.999,567.09893140483,801.999,0,976,987,0
"thirtyminutes0033#2020-03-07 16:30:00,2020-03-07 16:59:59","thirtyminutes0033","2020-03-07 16:30:00","2020-03-07 16:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,631,631,631,631,NA,631,0,990,990,1 "thirtyminutes0033#2020-03-07 16:30:00,2020-03-07 16:59:59","thirtyminutes0033","2020-03-07 16:30:00","2020-03-07 16:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,631,631,631,631,NA,631,0,990,990,1
"thirtyminutes0033#2020-03-09 16:30:00,2020-03-09 16:59:59","thirtyminutes0033","2020-03-09 16:30:00","2020-03-09 16:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,1008,1008,0 "thirtyminutes0033#2020-03-09 16:30:00,2020-03-09 16:59:59","thirtyminutes0033","2020-03-09 16:30:00","2020-03-09 16:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,1008,1008,0
"thirtyminutes0033#2020-10-31 16:30:00,2020-10-31 16:59:59","thirtyminutes0033","2020-10-31 16:30:00","2020-10-31 16:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,631,631,631,631,NA,631,0,990,990,0 "thirtyminutes0033#2020-10-31 16:30:00,2020-10-31 16:59:59","thirtyminutes0033","2020-10-31 16:30:00","2020-10-31 16:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,631,631,631,631,NA,631,0,990,990,0
"thirtyminutes0033#2020-11-02 16:30:00,2020-11-02 16:59:59","thirtyminutes0033","2020-11-02 16:30:00","2020-11-02 16:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,1008,1008,0 "thirtyminutes0033#2020-11-02 16:30:00,2020-11-02 16:59:59","thirtyminutes0033","2020-11-02 16:30:00","2020-11-02 16:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,1008,1008,0
"thirtyminutes0034#2020-03-07 17:00:00,2020-03-07 17:29:59","thirtyminutes0034","2020-03-07 17:00:00","2020-03-07 17:29:59",1,1,1034,1034,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0034#2020-03-07 17:00:00,2020-03-07 17:29:59","thirtyminutes0034","2020-03-07 17:00:00","2020-03-07 17:29:59",1,1,1034,1034,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0034#2020-10-31 17:00:00,2020-10-31 17:29:59","thirtyminutes0034","2020-10-31 17:00:00","2020-10-31 17:29:59",1,1,1034,1034,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0034#2020-10-31 17:00:00,2020-10-31 17:29:59","thirtyminutes0034","2020-10-31 17:00:00","2020-10-31 17:29:59",1,1,1034,1034,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59","thirtyminutes0035","2020-03-06 17:30:00","2020-03-06 17:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,1206,1206,1206,1206,NA,1206,0,1051,1051,1 "thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59","thirtyminutes0035","2020-03-06 17:30:00","2020-03-06 17:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,1206,1206,1206,1206,NA,1206,0,1051,1051,1
"thirtyminutes0035#2020-03-09 17:30:00,2020-03-09 17:59:59","thirtyminutes0035","2020-03-09 17:30:00","2020-03-09 17:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,37,37,37,37,NA,37,0,1075,1075,0 "thirtyminutes0035#2020-03-09 17:30:00,2020-03-09 17:59:59","thirtyminutes0035","2020-03-09 17:30:00","2020-03-09 17:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,37,37,37,37,NA,37,0,1075,1075,0
"thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59","thirtyminutes0035","2020-10-30 17:30:00","2020-10-30 17:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,1206,1206,1206,1206,NA,1206,0,1051,1051,0 "thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59","thirtyminutes0035","2020-10-30 17:30:00","2020-10-30 17:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,1206,1206,1206,1206,NA,1206,0,1051,1051,0
"thirtyminutes0035#2020-11-02 17:30:00,2020-11-02 17:59:59","thirtyminutes0035","2020-11-02 17:30:00","2020-11-02 17:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,37,37,37,37,NA,37,0,1075,1075,0 "thirtyminutes0035#2020-11-02 17:30:00,2020-11-02 17:59:59","thirtyminutes0035","2020-11-02 17:30:00","2020-11-02 17:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,37,37,37,37,NA,37,0,1075,1075,0
"thirtyminutes0036#2020-03-07 18:00:00,2020-03-07 18:29:59","thirtyminutes0036","2020-03-07 18:00:00","2020-03-07 18:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1097,1097,1 "thirtyminutes0036#2020-03-07 18:00:00,2020-03-07 18:29:59","thirtyminutes0036","2020-03-07 18:00:00","2020-03-07 18:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1097,1097,1
"thirtyminutes0036#2020-03-08 18:00:00,2020-03-08 18:29:59","thirtyminutes0036","2020-03-08 18:00:00","2020-03-08 18:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,1101,1101,0 "thirtyminutes0036#2020-03-08 18:00:00,2020-03-08 18:29:59","thirtyminutes0036","2020-03-08 18:00:00","2020-03-08 18:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,1101,1101,0
"thirtyminutes0036#2020-10-31 18:00:00,2020-10-31 18:29:59","thirtyminutes0036","2020-10-31 18:00:00","2020-10-31 18:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1097,1097,0 "thirtyminutes0036#2020-10-31 18:00:00,2020-10-31 18:29:59","thirtyminutes0036","2020-10-31 18:00:00","2020-10-31 18:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1097,1097,0
"thirtyminutes0036#2020-11-01 18:00:00,2020-11-01 18:29:59","thirtyminutes0036","2020-11-01 18:00:00","2020-11-01 18:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,1101,1101,0 "thirtyminutes0036#2020-11-01 18:00:00,2020-11-01 18:29:59","thirtyminutes0036","2020-11-01 18:00:00","2020-11-01 18:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,0,0,0,0,NA,0,NA,1101,1101,0
"thirtyminutes0037#2020-03-07 18:30:00,2020-03-07 18:59:59","thirtyminutes0037","2020-03-07 18:30:00","2020-03-07 18:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,793,793,793,793,NA,793,0,1110,1110,1 "thirtyminutes0037#2020-03-07 18:30:00,2020-03-07 18:59:59","thirtyminutes0037","2020-03-07 18:30:00","2020-03-07 18:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,793,793,793,793,NA,793,0,1110,1110,1
"thirtyminutes0037#2020-10-31 18:30:00,2020-10-31 18:59:59","thirtyminutes0037","2020-10-31 18:30:00","2020-10-31 18:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,793,793,793,793,NA,793,0,1110,1110,0 "thirtyminutes0037#2020-10-31 18:30:00,2020-10-31 18:59:59","thirtyminutes0037","2020-10-31 18:30:00","2020-10-31 18:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,793,793,793,793,NA,793,0,1110,1110,0
"thirtyminutes0038#2020-03-06 19:00:00,2020-03-06 19:29:59","thirtyminutes0038","2020-03-06 19:00:00","2020-03-06 19:29:59",1,1,1144,1144,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,2,2,516,1032,0,1032,729.734198184517,1032,0,1146,1167,1 "thirtyminutes0038#2020-03-06 19:00:00,2020-03-06 19:29:59","thirtyminutes0038","2020-03-06 19:00:00","2020-03-06 19:29:59",1,1,1144,1144,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,2,2,516,1032,0,1032,729.734198184517,1032,0,1146,1167,1
"thirtyminutes0038#2020-03-07 19:00:00,2020-03-07 19:29:59","thirtyminutes0038","2020-03-07 19:00:00","2020-03-07 19:29:59",0,0,NA,NA,0,1,1,1093.999,1093.999,1093.999,1093.999,NA,1093.999,0,1151,1151,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0038#2020-03-07 19:00:00,2020-03-07 19:29:59","thirtyminutes0038","2020-03-07 19:00:00","2020-03-07 19:29:59",0,0,NA,NA,0,1,1,1093.999,1093.999,1093.999,1093.999,NA,1093.999,0,1151,1151,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0038#2020-10-30 19:00:00,2020-10-30 19:29:59","thirtyminutes0038","2020-10-30 19:00:00","2020-10-30 19:29:59",1,1,1144,1144,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,2,2,516,1032,0,1032,729.734198184517,1032,0,1146,1167,0 "thirtyminutes0038#2020-10-30 19:00:00,2020-10-30 19:29:59","thirtyminutes0038","2020-10-30 19:00:00","2020-10-30 19:29:59",1,1,1144,1144,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,2,2,516,1032,0,1032,729.734198184517,1032,0,1146,1167,0
"thirtyminutes0038#2020-10-31 19:00:00,2020-10-31 19:29:59","thirtyminutes0038","2020-10-31 19:00:00","2020-10-31 19:29:59",0,0,NA,NA,0,1,1,1093.999,1093.999,1093.999,1093.999,NA,1093.999,0,1151,1151,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0038#2020-10-31 19:00:00,2020-10-31 19:29:59","thirtyminutes0038","2020-10-31 19:00:00","2020-10-31 19:29:59",0,0,NA,NA,0,1,1,1093.999,1093.999,1093.999,1093.999,NA,1093.999,0,1151,1151,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0039#2020-03-07 19:30:00,2020-03-07 19:59:59","thirtyminutes0039","2020-03-07 19:30:00","2020-03-07 19:59:59",0,0,NA,NA,0,1,1,144,144,144,144,NA,144,0,1170,1170,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0039#2020-03-07 19:30:00,2020-03-07 19:59:59","thirtyminutes0039","2020-03-07 19:30:00","2020-03-07 19:59:59",0,0,NA,NA,0,1,1,144,144,144,144,NA,144,0,1170,1170,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0039#2020-03-08 19:30:00,2020-03-08 19:59:59","thirtyminutes0039","2020-03-08 19:30:00","2020-03-08 19:59:59",0,0,NA,NA,0,1,1,143,143,143,143,NA,143,0,1177,1177,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0039#2020-03-08 19:30:00,2020-03-08 19:59:59","thirtyminutes0039","2020-03-08 19:30:00","2020-03-08 19:59:59",0,0,NA,NA,0,1,1,143,143,143,143,NA,143,0,1177,1177,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0039#2020-10-31 19:30:00,2020-10-31 19:59:59","thirtyminutes0039","2020-10-31 19:30:00","2020-10-31 19:59:59",0,0,NA,NA,0,1,1,144,144,144,144,NA,144,0,1170,1170,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0039#2020-10-31 19:30:00,2020-10-31 19:59:59","thirtyminutes0039","2020-10-31 19:30:00","2020-10-31 19:59:59",0,0,NA,NA,0,1,1,144,144,144,144,NA,144,0,1170,1170,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0039#2020-11-01 19:30:00,2020-11-01 19:59:59","thirtyminutes0039","2020-11-01 19:30:00","2020-11-01 19:59:59",0,0,NA,NA,0,1,1,143,143,143,143,NA,143,0,1177,1177,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0039#2020-11-01 19:30:00,2020-11-01 19:59:59","thirtyminutes0039","2020-11-01 19:30:00","2020-11-01 19:59:59",0,0,NA,NA,0,1,1,143,143,143,143,NA,143,0,1177,1177,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0040#2020-03-06 20:00:00,2020-03-06 20:29:59","thirtyminutes0040","2020-03-06 20:00:00","2020-03-06 20:29:59",0,0,NA,NA,0,1,1,940.999,940.999,940.999,940.999,NA,940.999,0,1214,1214,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0040#2020-03-06 20:00:00,2020-03-06 20:29:59","thirtyminutes0040","2020-03-06 20:00:00","2020-03-06 20:29:59",0,0,NA,NA,0,1,1,940.999,940.999,940.999,940.999,NA,940.999,0,1214,1214,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0040#2020-10-30 20:00:00,2020-10-30 20:29:59","thirtyminutes0040","2020-10-30 20:00:00","2020-10-30 20:29:59",0,0,NA,NA,0,1,1,940.999,940.999,940.999,940.999,NA,940.999,0,1214,1214,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0040#2020-10-30 20:00:00,2020-10-30 20:29:59","thirtyminutes0040","2020-10-30 20:00:00","2020-10-30 20:29:59",0,0,NA,NA,0,1,1,940.999,940.999,940.999,940.999,NA,940.999,0,1214,1214,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0041#2020-03-06 20:30:00,2020-03-06 20:59:59","thirtyminutes0041","2020-03-06 20:30:00","2020-03-06 20:59:59",0,0,NA,NA,0,1,1,789,789,789,789,NA,789,0,1230,1230,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0041#2020-03-06 20:30:00,2020-03-06 20:59:59","thirtyminutes0041","2020-03-06 20:30:00","2020-03-06 20:59:59",0,0,NA,NA,0,1,1,789,789,789,789,NA,789,0,1230,1230,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0041#2020-10-30 20:30:00,2020-10-30 20:59:59","thirtyminutes0041","2020-10-30 20:30:00","2020-10-30 20:59:59",0,0,NA,NA,0,1,1,789,789,789,789,NA,789,0,1230,1230,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0041#2020-10-30 20:30:00,2020-10-30 20:59:59","thirtyminutes0041","2020-10-30 20:30:00","2020-10-30 20:59:59",0,0,NA,NA,0,1,1,789,789,789,789,NA,789,0,1230,1230,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0042#2020-03-06 21:00:00,2020-03-06 21:29:59","thirtyminutes0042","2020-03-06 21:00:00","2020-03-06 21:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1277,1277,1 "thirtyminutes0042#2020-03-06 21:00:00,2020-03-06 21:29:59","thirtyminutes0042","2020-03-06 21:00:00","2020-03-06 21:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1277,1277,1
"thirtyminutes0042#2020-03-07 21:00:00,2020-03-07 21:29:59","thirtyminutes0042","2020-03-07 21:00:00","2020-03-07 21:29:59",0,0,NA,NA,0,1,1,325,325,325,325,NA,325,0,1275,1275,1,2,2,123.5,247,0,247,174.655374953077,247,0,1282,1283,0 "thirtyminutes0042#2020-03-07 21:00:00,2020-03-07 21:29:59","thirtyminutes0042","2020-03-07 21:00:00","2020-03-07 21:29:59",0,0,NA,NA,0,1,1,325,325,325,325,NA,325,0,1275,1275,1,2,2,123.5,247,0,247,174.655374953077,247,0,1282,1283,0
"thirtyminutes0042#2020-10-30 21:00:00,2020-10-30 21:29:59","thirtyminutes0042","2020-10-30 21:00:00","2020-10-30 21:29:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1277,1277,0 "thirtyminutes0042#2020-10-30 21:00:00,2020-10-30 21:29:59","thirtyminutes0042","2020-10-30 21:00:00","2020-10-30 21:29:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,762.999,762.999,762.999,762.999,NA,762.999,0,1277,1277,0
"thirtyminutes0042#2020-10-31 21:00:00,2020-10-31 21:29:59","thirtyminutes0042","2020-10-31 21:00:00","2020-10-31 21:29:59",0,0,NA,NA,0,1,1,325,325,325,325,NA,325,0,1275,1275,0,2,2,123.5,247,0,247,174.655374953077,247,0,1282,1283,0 "thirtyminutes0042#2020-10-31 21:00:00,2020-10-31 21:29:59","thirtyminutes0042","2020-10-31 21:00:00","2020-10-31 21:29:59",0,0,NA,NA,0,1,1,325,325,325,325,NA,325,0,1275,1275,0,2,2,123.5,247,0,247,174.655374953077,247,0,1282,1283,0
"thirtyminutes0043#2020-03-06 21:30:00,2020-03-06 21:59:59","thirtyminutes0043","2020-03-06 21:30:00","2020-03-06 21:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,793,793,793,793,NA,793,0,1290,1290,1 "thirtyminutes0043#2020-03-06 21:30:00,2020-03-06 21:59:59","thirtyminutes0043","2020-03-06 21:30:00","2020-03-06 21:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,793,793,793,793,NA,793,0,1290,1290,1
"thirtyminutes0043#2020-10-30 21:30:00,2020-10-30 21:59:59","thirtyminutes0043","2020-10-30 21:30:00","2020-10-30 21:59:59",0,0,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,1,1,793,793,793,793,NA,793,0,1290,1290,0 "thirtyminutes0043#2020-10-30 21:30:00,2020-10-30 21:59:59","thirtyminutes0043","2020-10-30 21:30:00","2020-10-30 21:59:59",0,0,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,1,1,793,793,793,793,NA,793,0,1290,1290,0
"thirtyminutes0044#2020-03-06 22:00:00,2020-03-06 22:29:59","thirtyminutes0044","2020-03-06 22:00:00","2020-03-06 22:29:59",1,1,1331,1331,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0044#2020-03-06 22:00:00,2020-03-06 22:29:59","thirtyminutes0044","2020-03-06 22:00:00","2020-03-06 22:29:59",1,1,1331,1331,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0044#2020-03-09 22:00:00,2020-03-09 22:29:59","thirtyminutes0044","2020-03-09 22:00:00","2020-03-09 22:29:59",0,0,NA,NA,0,1,1,229.999,229.999,229.999,229.999,NA,229.999,0,1346,1346,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0044#2020-03-09 22:00:00,2020-03-09 22:29:59","thirtyminutes0044","2020-03-09 22:00:00","2020-03-09 22:29:59",0,0,NA,NA,0,1,1,229.999,229.999,229.999,229.999,NA,229.999,0,1346,1346,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0044#2020-10-30 22:00:00,2020-10-30 22:29:59","thirtyminutes0044","2020-10-30 22:00:00","2020-10-30 22:29:59",1,1,1331,1331,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0044#2020-10-30 22:00:00,2020-10-30 22:29:59","thirtyminutes0044","2020-10-30 22:00:00","2020-10-30 22:29:59",1,1,1331,1331,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0044#2020-11-02 22:00:00,2020-11-02 22:29:59","thirtyminutes0044","2020-11-02 22:00:00","2020-11-02 22:29:59",0,0,NA,NA,0,1,1,229.999,229.999,229.999,229.999,NA,229.999,0,1346,1346,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0044#2020-11-02 22:00:00,2020-11-02 22:29:59","thirtyminutes0044","2020-11-02 22:00:00","2020-11-02 22:29:59",0,0,NA,NA,0,1,1,229.999,229.999,229.999,229.999,NA,229.999,0,1346,1346,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0045#2020-03-09 22:30:00,2020-03-09 22:59:59","thirtyminutes0045","2020-03-09 22:30:00","2020-03-09 22:59:59",0,0,NA,NA,0,1,1,267,267,267,267,NA,267,0,1350,1350,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0045#2020-03-09 22:30:00,2020-03-09 22:59:59","thirtyminutes0045","2020-03-09 22:30:00","2020-03-09 22:59:59",0,0,NA,NA,0,1,1,267,267,267,267,NA,267,0,1350,1350,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"thirtyminutes0045#2020-11-02 22:30:00,2020-11-02 22:59:59","thirtyminutes0045","2020-11-02 22:30:00","2020-11-02 22:59:59",0,0,NA,NA,0,1,1,267,267,267,267,NA,267,0,1350,1350,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "thirtyminutes0045#2020-11-02 22:30:00,2020-11-02 22:59:59","thirtyminutes0045","2020-11-02 22:30:00","2020-11-02 22:59:59",0,0,NA,NA,0,1,1,267,267,267,267,NA,267,0,1350,1350,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_calls_rapids_missed_count phone_calls_rapids_missed_distinctcontacts phone_calls_rapids_missed_timefirstcall phone_calls_rapids_missed_timelastcall phone_calls_rapids_missed_countmostfrequentcontact phone_calls_rapids_incoming_count phone_calls_rapids_incoming_distinctcontacts phone_calls_rapids_incoming_meanduration phone_calls_rapids_incoming_sumduration phone_calls_rapids_incoming_minduration phone_calls_rapids_incoming_maxduration phone_calls_rapids_incoming_stdduration phone_calls_rapids_incoming_modeduration phone_calls_rapids_incoming_entropyduration phone_calls_rapids_incoming_timefirstcall phone_calls_rapids_incoming_timelastcall phone_calls_rapids_incoming_countmostfrequentcontact phone_calls_rapids_outgoing_count phone_calls_rapids_outgoing_distinctcontacts phone_calls_rapids_outgoing_meanduration phone_calls_rapids_outgoing_sumduration phone_calls_rapids_outgoing_minduration phone_calls_rapids_outgoing_maxduration phone_calls_rapids_outgoing_stdduration phone_calls_rapids_outgoing_modeduration phone_calls_rapids_outgoing_entropyduration phone_calls_rapids_outgoing_timefirstcall phone_calls_rapids_outgoing_timelastcall phone_calls_rapids_outgoing_countmostfrequentcontact
2 thirtyminutes0000#2020-03-06 00:00:00,2020-03-06 00:29:59 thirtyminutes0000 2020-03-06 00:00:00 2020-03-06 00:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 0 0 0 0 NA 0 NA 13 13 1
3 thirtyminutes0000#2020-10-30 00:00:00,2020-10-30 00:29:59 thirtyminutes0000 2020-10-30 00:00:00 2020-10-30 00:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 0 0 0 0 NA 0 NA 13 13 0
4 thirtyminutes0001#2020-03-06 00:30:00,2020-03-06 00:59:59 thirtyminutes0001 2020-03-06 00:30:00 2020-03-06 00:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 0 0 0 0 NA 0 NA 57 57 1
5 thirtyminutes0001#2020-10-30 00:30:00,2020-10-30 00:59:59 thirtyminutes0001 2020-10-30 00:30:00 2020-10-30 00:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 0 0 0 0 NA 0 NA 57 57 0
6 thirtyminutes0005#2020-03-06 02:30:00,2020-03-06 02:59:59 thirtyminutes0005 2020-03-06 02:30:00 2020-03-06 02:59:59 0 0 NA NA 0 1 1 449 449 449 449 NA 449 0 163 163 1 1 1 472.999 472.999 472.999 472.999 NA 472.999 0 172 172 1
7 thirtyminutes0005#2020-10-30 02:30:00,2020-10-30 02:59:59 thirtyminutes0005 2020-10-30 02:30:00 2020-10-30 02:59:59 0 0 NA NA 0 1 1 449 449 449 449 NA 449 0 163 163 0 1 1 472.999 472.999 472.999 472.999 NA 472.999 0 172 172 0
8 thirtyminutes0006#2020-03-06 03:00:00,2020-03-06 03:29:59 thirtyminutes0006 2020-03-06 03:00:00 2020-03-06 03:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 507 507 507 507 NA 507 0 180 180 1
9 thirtyminutes0006#2020-03-09 03:00:00,2020-03-09 03:29:59 thirtyminutes0006 2020-03-09 03:00:00 2020-03-09 03:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 0 0 0 0 NA 0 NA 198 198 0
10 thirtyminutes0006#2020-10-30 03:00:00,2020-10-30 03:29:59 thirtyminutes0006 2020-10-30 03:00:00 2020-10-30 03:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 507 507 507 507 NA 507 0 180 180 0
11 thirtyminutes0006#2020-11-02 03:00:00,2020-11-02 03:29:59 thirtyminutes0006 2020-11-02 03:00:00 2020-11-02 03:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 0 0 0 0 NA 0 NA 198 198 0
12 thirtyminutes0007#2020-03-08 03:30:00,2020-03-08 03:59:59 thirtyminutes0007 2020-03-08 03:30:00 2020-03-08 03:59:59 0 0 NA NA 0 1 1 159.999 159.999 159.999 159.999 NA 159.999 0 237 237 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
13 thirtyminutes0007#2020-11-01 03:30:00,2020-11-01 03:59:59 thirtyminutes0007 2020-11-01 03:30:00 2020-11-01 03:59:59 0 0 NA NA 0 1 1 159.999 159.999 159.999 159.999 NA 159.999 0 237 237 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
14 thirtyminutes0008#2020-03-06 04:00:00,2020-03-06 04:29:59 thirtyminutes0008 2020-03-06 04:00:00 2020-03-06 04:29:59 0 0 NA NA 0 1 1 767.999 767.999 767.999 767.999 NA 767.999 0 257 257 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
15 thirtyminutes0008#2020-03-08 04:00:00,2020-03-08 04:29:59 thirtyminutes0008 2020-03-08 04:00:00 2020-03-08 04:29:59 0 0 NA NA 0 1 1 825 825 825 825 NA 825 0 240 240 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
16 thirtyminutes0008#2020-03-09 04:00:00,2020-03-09 04:29:59 thirtyminutes0008 2020-03-09 04:00:00 2020-03-09 04:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 109.999 109.999 109.999 109.999 NA 109.999 0 268 268 1
17 thirtyminutes0008#2020-10-30 04:00:00,2020-10-30 04:29:59 thirtyminutes0008 2020-10-30 04:00:00 2020-10-30 04:29:59 0 0 NA NA 0 1 1 767.999 767.999 767.999 767.999 NA 767.999 0 257 257 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
18 thirtyminutes0008#2020-11-01 04:00:00,2020-11-01 04:29:59 thirtyminutes0008 2020-11-01 04:00:00 2020-11-01 04:29:59 0 0 NA NA 0 1 1 825 825 825 825 NA 825 0 240 240 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
19 thirtyminutes0008#2020-11-02 04:00:00,2020-11-02 04:29:59 thirtyminutes0008 2020-11-02 04:00:00 2020-11-02 04:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 109.999 109.999 109.999 109.999 NA 109.999 0 268 268 0
20 thirtyminutes0009#2020-03-06 04:30:00,2020-03-06 04:59:59 thirtyminutes0009 2020-03-06 04:30:00 2020-03-06 04:59:59 0 0 NA NA 0 1 1 593 593 593 593 NA 593 0 270 270 1 1 1 0 0 0 0 NA 0 NA 281 281 1
21 thirtyminutes0009#2020-03-09 04:30:00,2020-03-09 04:59:59 thirtyminutes0009 2020-03-09 04:30:00 2020-03-09 04:59:59 0 0 NA NA 0 1 1 439 439 439 439 NA 439 0 278 278 0 1 1 30 30 30 30 NA 30 0 270 270 0
22 thirtyminutes0009#2020-10-30 04:30:00,2020-10-30 04:59:59 thirtyminutes0009 2020-10-30 04:30:00 2020-10-30 04:59:59 0 0 NA NA 0 1 1 593 593 593 593 NA 593 0 270 270 0 1 1 0 0 0 0 NA 0 NA 281 281 0
23 thirtyminutes0009#2020-11-02 04:30:00,2020-11-02 04:59:59 thirtyminutes0009 2020-11-02 04:30:00 2020-11-02 04:59:59 0 0 NA NA 0 1 1 439 439 439 439 NA 439 0 278 278 0 1 1 30 30 30 30 NA 30 0 270 270 0
24 thirtyminutes0013#2020-03-06 06:30:00,2020-03-06 06:59:59 thirtyminutes0013 2020-03-06 06:30:00 2020-03-06 06:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 1101 1101 1101 1101 NA 1101 0 400 400 1
25 thirtyminutes0013#2020-03-07 06:30:00,2020-03-07 06:59:59 thirtyminutes0013 2020-03-07 06:30:00 2020-03-07 06:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 74.999 74.999 74.999 74.999 NA 74.999 0 418 418 0
26 thirtyminutes0013#2020-10-30 06:30:00,2020-10-30 06:59:59 thirtyminutes0013 2020-10-30 06:30:00 2020-10-30 06:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 1101 1101 1101 1101 NA 1101 0 400 400 0
27 thirtyminutes0013#2020-10-31 06:30:00,2020-10-31 06:59:59 thirtyminutes0013 2020-10-31 06:30:00 2020-10-31 06:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 74.999 74.999 74.999 74.999 NA 74.999 0 418 418 0
28 thirtyminutes0014#2020-03-07 07:00:00,2020-03-07 07:29:59 thirtyminutes0014 2020-03-07 07:00:00 2020-03-07 07:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 1056 1056 1056 1056 NA 1056 0 420 420 1
29 thirtyminutes0014#2020-10-31 07:00:00,2020-10-31 07:29:59 thirtyminutes0014 2020-10-31 07:00:00 2020-10-31 07:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 1056 1056 1056 1056 NA 1056 0 420 420 0
30 thirtyminutes0016#2020-03-06 08:00:00,2020-03-06 08:29:59 thirtyminutes0016 2020-03-06 08:00:00 2020-03-06 08:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 898.999 898.999 898.999 898.999 NA 898.999 0 495 495 1
31 thirtyminutes0016#2020-10-30 08:00:00,2020-10-30 08:29:59 thirtyminutes0016 2020-10-30 08:00:00 2020-10-30 08:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 898.999 898.999 898.999 898.999 NA 898.999 0 495 495 0
32 thirtyminutes0017#2020-03-06 08:30:00,2020-03-06 08:59:59 thirtyminutes0017 2020-03-06 08:30:00 2020-03-06 08:59:59 0 0 NA NA 0 1 1 920 920 920 920 NA 920 0 515 515 1 1 1 177 177 177 177 NA 177 0 510 510 1
33 thirtyminutes0017#2020-03-07 08:30:00,2020-03-07 08:59:59 thirtyminutes0017 2020-03-07 08:30:00 2020-03-07 08:59:59 0 0 NA NA 0 2 2 428 856 183 673 346.482322781408 183 0.519512697612674 512 519 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
34 thirtyminutes0017#2020-03-08 08:30:00,2020-03-08 08:59:59 thirtyminutes0017 2020-03-08 08:30:00 2020-03-08 08:59:59 1 1 528 528 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
35 thirtyminutes0017#2020-10-30 08:30:00,2020-10-30 08:59:59 thirtyminutes0017 2020-10-30 08:30:00 2020-10-30 08:59:59 0 0 NA NA 0 1 1 920 920 920 920 NA 920 0 515 515 0 1 1 177 177 177 177 NA 177 0 510 510 0
36 thirtyminutes0017#2020-10-31 08:30:00,2020-10-31 08:59:59 thirtyminutes0017 2020-10-31 08:30:00 2020-10-31 08:59:59 0 0 NA NA 0 2 2 428 856 183 673 346.482322781408 183 0.519512697612674 512 519 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
37 thirtyminutes0017#2020-11-01 08:30:00,2020-11-01 08:59:59 thirtyminutes0017 2020-11-01 08:30:00 2020-11-01 08:59:59 1 1 528 528 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
38 thirtyminutes0018#2020-03-09 09:00:00,2020-03-09 09:29:59 thirtyminutes0018 2020-03-09 09:00:00 2020-03-09 09:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 2 2 354.9995 709.999 0 709.999 502.045107535668 0 0 541 558 1
39 thirtyminutes0018#2020-11-02 09:00:00,2020-11-02 09:29:59 thirtyminutes0018 2020-11-02 09:00:00 2020-11-02 09:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 2 2 354.9995 709.999 0 709.999 502.045107535668 0 0 541 558 0
40 thirtyminutes0019#2020-03-06 09:30:00,2020-03-06 09:59:59 thirtyminutes0019 2020-03-06 09:30:00 2020-03-06 09:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 0 0 0 0 NA 0 NA 589 589 1
41 thirtyminutes0019#2020-03-07 09:30:00,2020-03-07 09:59:59 thirtyminutes0019 2020-03-07 09:30:00 2020-03-07 09:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 0 0 0 0 NA 0 NA 589 589 0
42 thirtyminutes0019#2020-03-09 09:30:00,2020-03-09 09:59:59 thirtyminutes0019 2020-03-09 09:30:00 2020-03-09 09:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 404 404 404 404 NA 404 0 570 570 0
43 thirtyminutes0019#2020-10-30 09:30:00,2020-10-30 09:59:59 thirtyminutes0019 2020-10-30 09:30:00 2020-10-30 09:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 0 0 0 0 NA 0 NA 589 589 0
44 thirtyminutes0019#2020-10-31 09:30:00,2020-10-31 09:59:59 thirtyminutes0019 2020-10-31 09:30:00 2020-10-31 09:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 0 0 0 0 NA 0 NA 589 589 0
45 thirtyminutes0019#2020-11-02 09:30:00,2020-11-02 09:59:59 thirtyminutes0019 2020-11-02 09:30:00 2020-11-02 09:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 404 404 404 404 NA 404 0 570 570 0
46 thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59 thirtyminutes0020 2020-03-06 10:00:00 2020-03-06 10:29:59 0 0 NA NA 0 1 1 1285 1285 1285 1285 NA 1285 0 600 600 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
47 thirtyminutes0020#2020-03-07 10:00:00,2020-03-07 10:29:59 thirtyminutes0020 2020-03-07 10:00:00 2020-03-07 10:29:59 0 0 NA NA 0 1 1 1304 1304 1304 1304 NA 1304 0 600 600 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
48 thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59 thirtyminutes0020 2020-10-30 10:00:00 2020-10-30 10:29:59 0 0 NA NA 0 1 1 1285 1285 1285 1285 NA 1285 0 600 600 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
49 thirtyminutes0020#2020-10-31 10:00:00,2020-10-31 10:29:59 thirtyminutes0020 2020-10-31 10:00:00 2020-10-31 10:29:59 0 0 NA NA 0 1 1 1304 1304 1304 1304 NA 1304 0 600 600 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
50 thirtyminutes0022#2020-03-06 11:00:00,2020-03-06 11:29:59 thirtyminutes0022 2020-03-06 11:00:00 2020-03-06 11:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 129.999 129.999 129.999 129.999 NA 129.999 0 687 687 1
51 thirtyminutes0022#2020-03-07 11:00:00,2020-03-07 11:29:59 thirtyminutes0022 2020-03-07 11:00:00 2020-03-07 11:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 129.999 129.999 129.999 129.999 NA 129.999 0 687 687 0
52 thirtyminutes0022#2020-10-30 11:00:00,2020-10-30 11:29:59 thirtyminutes0022 2020-10-30 11:00:00 2020-10-30 11:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 129.999 129.999 129.999 129.999 NA 129.999 0 687 687 0
53 thirtyminutes0022#2020-10-31 11:00:00,2020-10-31 11:29:59 thirtyminutes0022 2020-10-31 11:00:00 2020-10-31 11:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 129.999 129.999 129.999 129.999 NA 129.999 0 687 687 0
54 thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59 thirtyminutes0023 2020-03-06 11:30:00 2020-03-06 11:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 639 639 639 639 NA 639 0 690 690 1
55 thirtyminutes0023#2020-03-07 11:30:00,2020-03-07 11:59:59 thirtyminutes0023 2020-03-07 11:30:00 2020-03-07 11:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 639 639 639 639 NA 639 0 690 690 0
56 thirtyminutes0023#2020-03-09 11:30:00,2020-03-09 11:59:59 thirtyminutes0023 2020-03-09 11:30:00 2020-03-09 11:59:59 0 0 NA NA 0 1 1 638 638 638 638 NA 638 0 692 692 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
57 thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59 thirtyminutes0023 2020-10-30 11:30:00 2020-10-30 11:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 639 639 639 639 NA 639 0 690 690 0
58 thirtyminutes0023#2020-10-31 11:30:00,2020-10-31 11:59:59 thirtyminutes0023 2020-10-31 11:30:00 2020-10-31 11:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 639 639 639 639 NA 639 0 690 690 0
59 thirtyminutes0023#2020-11-02 11:30:00,2020-11-02 11:59:59 thirtyminutes0023 2020-11-02 11:30:00 2020-11-02 11:59:59 0 0 NA NA 0 1 1 638 638 638 638 NA 638 0 692 692 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
60 thirtyminutes0024#2020-03-08 12:00:00,2020-03-08 12:29:59 thirtyminutes0024 2020-03-08 12:00:00 2020-03-08 12:29:59 0 0 NA NA 0 1 1 1028 1028 1028 1028 NA 1028 0 724 724 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
61 thirtyminutes0024#2020-11-01 12:00:00,2020-11-01 12:29:59 thirtyminutes0024 2020-11-01 12:00:00 2020-11-01 12:29:59 0 0 NA NA 0 1 1 1028 1028 1028 1028 NA 1028 0 724 724 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
62 thirtyminutes0025#2020-03-06 12:30:00,2020-03-06 12:59:59 thirtyminutes0025 2020-03-06 12:30:00 2020-03-06 12:59:59 0 0 NA NA 0 2 2 558.9995 1117.999 48.999 1069 721.24962391706 1069 0.180369911667285 753 779 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
63 thirtyminutes0025#2020-03-08 12:30:00,2020-03-08 12:59:59 thirtyminutes0025 2020-03-08 12:30:00 2020-03-08 12:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 42 42 42 42 NA 42 0 769 769 1
64 thirtyminutes0025#2020-10-30 12:30:00,2020-10-30 12:59:59 thirtyminutes0025 2020-10-30 12:30:00 2020-10-30 12:59:59 0 0 NA NA 0 2 2 558.9995 1117.999 48.999 1069 721.24962391706 1069 0.180369911667285 753 779 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
65 thirtyminutes0025#2020-11-01 12:30:00,2020-11-01 12:59:59 thirtyminutes0025 2020-11-01 12:30:00 2020-11-01 12:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 42 42 42 42 NA 42 0 769 769 0
66 thirtyminutes0026#2020-03-06 13:00:00,2020-03-06 13:29:59 thirtyminutes0026 2020-03-06 13:00:00 2020-03-06 13:29:59 0 0 NA NA 0 1 1 643 643 643 643 NA 643 0 780 780 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
67 thirtyminutes0026#2020-10-30 13:00:00,2020-10-30 13:29:59 thirtyminutes0026 2020-10-30 13:00:00 2020-10-30 13:29:59 0 0 NA NA 0 1 1 643 643 643 643 NA 643 0 780 780 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
68 thirtyminutes0028#2020-03-06 14:00:00,2020-03-06 14:29:59 thirtyminutes0028 2020-03-06 14:00:00 2020-03-06 14:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 26.999 26.999 26.999 26.999 NA 26.999 0 869 869 1
69 thirtyminutes0028#2020-10-30 14:00:00,2020-10-30 14:29:59 thirtyminutes0028 2020-10-30 14:00:00 2020-10-30 14:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 26.999 26.999 26.999 26.999 NA 26.999 0 869 869 0
70 thirtyminutes0029#2020-03-06 14:30:00,2020-03-06 14:59:59 thirtyminutes0029 2020-03-06 14:30:00 2020-03-06 14:59:59 1 1 874 874 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 230 230 230 230 NA 230 0 870 870 1
71 thirtyminutes0029#2020-10-30 14:30:00,2020-10-30 14:59:59 thirtyminutes0029 2020-10-30 14:30:00 2020-10-30 14:59:59 1 1 874 874 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 230 230 230 230 NA 230 0 870 870 0
72 thirtyminutes0030#2020-03-06 15:00:00,2020-03-06 15:29:59 thirtyminutes0030 2020-03-06 15:00:00 2020-03-06 15:29:59 0 0 NA NA 0 1 1 223 223 223 223 NA 223 0 921 921 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
73 thirtyminutes0030#2020-10-30 15:00:00,2020-10-30 15:29:59 thirtyminutes0030 2020-10-30 15:00:00 2020-10-30 15:29:59 0 0 NA NA 0 1 1 223 223 223 223 NA 223 0 921 921 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
74 thirtyminutes0032#2020-03-07 16:00:00,2020-03-07 16:29:59 thirtyminutes0032 2020-03-07 16:00:00 2020-03-07 16:29:59 0 0 NA NA 0 1 1 566 566 566 566 NA 566 0 964 964 1 2 2 400.9995 801.999 0 801.999 567.09893140483 801.999 0 976 987 1
75 thirtyminutes0032#2020-10-31 16:00:00,2020-10-31 16:29:59 thirtyminutes0032 2020-10-31 16:00:00 2020-10-31 16:29:59 0 0 NA NA 0 1 1 566 566 566 566 NA 566 0 964 964 0 2 2 400.9995 801.999 0 801.999 567.09893140483 801.999 0 976 987 0
76 thirtyminutes0033#2020-03-07 16:30:00,2020-03-07 16:59:59 thirtyminutes0033 2020-03-07 16:30:00 2020-03-07 16:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 631 631 631 631 NA 631 0 990 990 1
77 thirtyminutes0033#2020-03-09 16:30:00,2020-03-09 16:59:59 thirtyminutes0033 2020-03-09 16:30:00 2020-03-09 16:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 0 0 0 0 NA 0 NA 1008 1008 0
78 thirtyminutes0033#2020-10-31 16:30:00,2020-10-31 16:59:59 thirtyminutes0033 2020-10-31 16:30:00 2020-10-31 16:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 631 631 631 631 NA 631 0 990 990 0
79 thirtyminutes0033#2020-11-02 16:30:00,2020-11-02 16:59:59 thirtyminutes0033 2020-11-02 16:30:00 2020-11-02 16:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 0 0 0 0 NA 0 NA 1008 1008 0
80 thirtyminutes0034#2020-03-07 17:00:00,2020-03-07 17:29:59 thirtyminutes0034 2020-03-07 17:00:00 2020-03-07 17:29:59 1 1 1034 1034 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
81 thirtyminutes0034#2020-10-31 17:00:00,2020-10-31 17:29:59 thirtyminutes0034 2020-10-31 17:00:00 2020-10-31 17:29:59 1 1 1034 1034 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
82 thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59 thirtyminutes0035 2020-03-06 17:30:00 2020-03-06 17:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 1206 1206 1206 1206 NA 1206 0 1051 1051 1
83 thirtyminutes0035#2020-03-09 17:30:00,2020-03-09 17:59:59 thirtyminutes0035 2020-03-09 17:30:00 2020-03-09 17:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 37 37 37 37 NA 37 0 1075 1075 0
84 thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59 thirtyminutes0035 2020-10-30 17:30:00 2020-10-30 17:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 1206 1206 1206 1206 NA 1206 0 1051 1051 0
85 thirtyminutes0035#2020-11-02 17:30:00,2020-11-02 17:59:59 thirtyminutes0035 2020-11-02 17:30:00 2020-11-02 17:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 37 37 37 37 NA 37 0 1075 1075 0
86 thirtyminutes0036#2020-03-07 18:00:00,2020-03-07 18:29:59 thirtyminutes0036 2020-03-07 18:00:00 2020-03-07 18:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 762.999 762.999 762.999 762.999 NA 762.999 0 1097 1097 1
87 thirtyminutes0036#2020-03-08 18:00:00,2020-03-08 18:29:59 thirtyminutes0036 2020-03-08 18:00:00 2020-03-08 18:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 0 0 0 0 NA 0 NA 1101 1101 0
88 thirtyminutes0036#2020-10-31 18:00:00,2020-10-31 18:29:59 thirtyminutes0036 2020-10-31 18:00:00 2020-10-31 18:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 762.999 762.999 762.999 762.999 NA 762.999 0 1097 1097 0
89 thirtyminutes0036#2020-11-01 18:00:00,2020-11-01 18:29:59 thirtyminutes0036 2020-11-01 18:00:00 2020-11-01 18:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 0 0 0 0 NA 0 NA 1101 1101 0
90 thirtyminutes0037#2020-03-07 18:30:00,2020-03-07 18:59:59 thirtyminutes0037 2020-03-07 18:30:00 2020-03-07 18:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 793 793 793 793 NA 793 0 1110 1110 1
91 thirtyminutes0037#2020-10-31 18:30:00,2020-10-31 18:59:59 thirtyminutes0037 2020-10-31 18:30:00 2020-10-31 18:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 793 793 793 793 NA 793 0 1110 1110 0
92 thirtyminutes0038#2020-03-06 19:00:00,2020-03-06 19:29:59 thirtyminutes0038 2020-03-06 19:00:00 2020-03-06 19:29:59 1 1 1144 1144 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 2 2 516 1032 0 1032 729.734198184517 1032 0 1146 1167 1
93 thirtyminutes0038#2020-03-07 19:00:00,2020-03-07 19:29:59 thirtyminutes0038 2020-03-07 19:00:00 2020-03-07 19:29:59 0 0 NA NA 0 1 1 1093.999 1093.999 1093.999 1093.999 NA 1093.999 0 1151 1151 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
94 thirtyminutes0038#2020-10-30 19:00:00,2020-10-30 19:29:59 thirtyminutes0038 2020-10-30 19:00:00 2020-10-30 19:29:59 1 1 1144 1144 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 2 2 516 1032 0 1032 729.734198184517 1032 0 1146 1167 0
95 thirtyminutes0038#2020-10-31 19:00:00,2020-10-31 19:29:59 thirtyminutes0038 2020-10-31 19:00:00 2020-10-31 19:29:59 0 0 NA NA 0 1 1 1093.999 1093.999 1093.999 1093.999 NA 1093.999 0 1151 1151 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
96 thirtyminutes0039#2020-03-07 19:30:00,2020-03-07 19:59:59 thirtyminutes0039 2020-03-07 19:30:00 2020-03-07 19:59:59 0 0 NA NA 0 1 1 144 144 144 144 NA 144 0 1170 1170 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
97 thirtyminutes0039#2020-03-08 19:30:00,2020-03-08 19:59:59 thirtyminutes0039 2020-03-08 19:30:00 2020-03-08 19:59:59 0 0 NA NA 0 1 1 143 143 143 143 NA 143 0 1177 1177 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
98 thirtyminutes0039#2020-10-31 19:30:00,2020-10-31 19:59:59 thirtyminutes0039 2020-10-31 19:30:00 2020-10-31 19:59:59 0 0 NA NA 0 1 1 144 144 144 144 NA 144 0 1170 1170 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
99 thirtyminutes0039#2020-11-01 19:30:00,2020-11-01 19:59:59 thirtyminutes0039 2020-11-01 19:30:00 2020-11-01 19:59:59 0 0 NA NA 0 1 1 143 143 143 143 NA 143 0 1177 1177 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
100 thirtyminutes0040#2020-03-06 20:00:00,2020-03-06 20:29:59 thirtyminutes0040 2020-03-06 20:00:00 2020-03-06 20:29:59 0 0 NA NA 0 1 1 940.999 940.999 940.999 940.999 NA 940.999 0 1214 1214 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
101 thirtyminutes0040#2020-10-30 20:00:00,2020-10-30 20:29:59 thirtyminutes0040 2020-10-30 20:00:00 2020-10-30 20:29:59 0 0 NA NA 0 1 1 940.999 940.999 940.999 940.999 NA 940.999 0 1214 1214 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
102 thirtyminutes0041#2020-03-06 20:30:00,2020-03-06 20:59:59 thirtyminutes0041 2020-03-06 20:30:00 2020-03-06 20:59:59 0 0 NA NA 0 1 1 789 789 789 789 NA 789 0 1230 1230 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
103 thirtyminutes0041#2020-10-30 20:30:00,2020-10-30 20:59:59 thirtyminutes0041 2020-10-30 20:30:00 2020-10-30 20:59:59 0 0 NA NA 0 1 1 789 789 789 789 NA 789 0 1230 1230 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
104 thirtyminutes0042#2020-03-06 21:00:00,2020-03-06 21:29:59 thirtyminutes0042 2020-03-06 21:00:00 2020-03-06 21:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 762.999 762.999 762.999 762.999 NA 762.999 0 1277 1277 1
105 thirtyminutes0042#2020-03-07 21:00:00,2020-03-07 21:29:59 thirtyminutes0042 2020-03-07 21:00:00 2020-03-07 21:29:59 0 0 NA NA 0 1 1 325 325 325 325 NA 325 0 1275 1275 1 2 2 123.5 247 0 247 174.655374953077 247 0 1282 1283 0
106 thirtyminutes0042#2020-10-30 21:00:00,2020-10-30 21:29:59 thirtyminutes0042 2020-10-30 21:00:00 2020-10-30 21:29:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 762.999 762.999 762.999 762.999 NA 762.999 0 1277 1277 0
107 thirtyminutes0042#2020-10-31 21:00:00,2020-10-31 21:29:59 thirtyminutes0042 2020-10-31 21:00:00 2020-10-31 21:29:59 0 0 NA NA 0 1 1 325 325 325 325 NA 325 0 1275 1275 0 2 2 123.5 247 0 247 174.655374953077 247 0 1282 1283 0
108 thirtyminutes0043#2020-03-06 21:30:00,2020-03-06 21:59:59 thirtyminutes0043 2020-03-06 21:30:00 2020-03-06 21:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 793 793 793 793 NA 793 0 1290 1290 1
109 thirtyminutes0043#2020-10-30 21:30:00,2020-10-30 21:59:59 thirtyminutes0043 2020-10-30 21:30:00 2020-10-30 21:59:59 0 0 NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 1 1 793 793 793 793 NA 793 0 1290 1290 0
110 thirtyminutes0044#2020-03-06 22:00:00,2020-03-06 22:29:59 thirtyminutes0044 2020-03-06 22:00:00 2020-03-06 22:29:59 1 1 1331 1331 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
111 thirtyminutes0044#2020-03-09 22:00:00,2020-03-09 22:29:59 thirtyminutes0044 2020-03-09 22:00:00 2020-03-09 22:29:59 0 0 NA NA 0 1 1 229.999 229.999 229.999 229.999 NA 229.999 0 1346 1346 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
112 thirtyminutes0044#2020-10-30 22:00:00,2020-10-30 22:29:59 thirtyminutes0044 2020-10-30 22:00:00 2020-10-30 22:29:59 1 1 1331 1331 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
113 thirtyminutes0044#2020-11-02 22:00:00,2020-11-02 22:29:59 thirtyminutes0044 2020-11-02 22:00:00 2020-11-02 22:29:59 0 0 NA NA 0 1 1 229.999 229.999 229.999 229.999 NA 229.999 0 1346 1346 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
114 thirtyminutes0045#2020-03-09 22:30:00,2020-03-09 22:59:59 thirtyminutes0045 2020-03-09 22:30:00 2020-03-09 22:59:59 0 0 NA NA 0 1 1 267 267 267 267 NA 267 0 1350 1350 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
115 thirtyminutes0045#2020-11-02 22:30:00,2020-11-02 22:59:59 thirtyminutes0045 2020-11-02 22:30:00 2020-11-02 22:59:59 0 0 NA NA 0 1 1 267 267 267 267 NA 267 0 1350 1350 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0

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@ -1 +1 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_conversation_rapids_voiceexpectedfraction","phone_conversation_rapids_noisemaxenergy","phone_conversation_rapids_noiseexpectedfraction","phone_conversation_rapids_voiceavgenergy","phone_conversation_rapids_minutesnoise","phone_conversation_rapids_voicemaxenergy","phone_conversation_rapids_voiceminenergy","phone_conversation_rapids_countconversation","phone_conversation_rapids_voicesumenergy","phone_conversation_rapids_voicesensedfraction","phone_conversation_rapids_silencesensedfraction","phone_conversation_rapids_noisesdenergy","phone_conversation_rapids_minutessilence","phone_conversation_rapids_unknownexpectedfraction","phone_conversation_rapids_voicesdenergy","phone_conversation_rapids_minutesunknown","phone_conversation_rapids_timelastconversation","phone_conversation_rapids_noisesumenergy","phone_conversation_rapids_minutesvoice","phone_conversation_rapids_sdconversationduration","phone_conversation_rapids_timefirstconversation","phone_conversation_rapids_sumconversationduration","phone_conversation_rapids_noisesensedfraction","phone_conversation_rapids_avgconversationduration","phone_conversation_rapids_noiseminenergy","phone_conversation_rapids_silenceexpectedfraction","phone_conversation_rapids_unknownsensedfraction","phone_conversation_rapids_maxconversationduration","phone_conversation_rapids_minconversationduration","phone_conversation_rapids_noiseavgenergy" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_conversation_rapids_noiseexpectedfraction","phone_conversation_rapids_minutessilence","phone_conversation_rapids_noiseminenergy","phone_conversation_rapids_timefirstconversation","phone_conversation_rapids_maxconversationduration","phone_conversation_rapids_avgconversationduration","phone_conversation_rapids_noisesdenergy","phone_conversation_rapids_noisesensedfraction","phone_conversation_rapids_voicemaxenergy","phone_conversation_rapids_unknownsensedfraction","phone_conversation_rapids_sumconversationduration","phone_conversation_rapids_voiceminenergy","phone_conversation_rapids_voicesensedfraction","phone_conversation_rapids_voiceavgenergy","phone_conversation_rapids_minconversationduration","phone_conversation_rapids_silencesensedfraction","phone_conversation_rapids_unknownexpectedfraction","phone_conversation_rapids_minutesvoice","phone_conversation_rapids_voicesdenergy","phone_conversation_rapids_voiceexpectedfraction","phone_conversation_rapids_silenceexpectedfraction","phone_conversation_rapids_noisemaxenergy","phone_conversation_rapids_voicesumenergy","phone_conversation_rapids_noiseavgenergy","phone_conversation_rapids_minutesnoise","phone_conversation_rapids_sdconversationduration","phone_conversation_rapids_noisesumenergy","phone_conversation_rapids_minutesunknown","phone_conversation_rapids_countconversation","phone_conversation_rapids_timelastconversation"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_conversation_rapids_noiseexpectedfraction phone_conversation_rapids_minutessilence phone_conversation_rapids_noiseminenergy phone_conversation_rapids_timefirstconversation phone_conversation_rapids_maxconversationduration phone_conversation_rapids_avgconversationduration phone_conversation_rapids_noisesdenergy phone_conversation_rapids_noisesensedfraction phone_conversation_rapids_voicemaxenergy phone_conversation_rapids_unknownsensedfraction phone_conversation_rapids_sumconversationduration phone_conversation_rapids_voiceminenergy phone_conversation_rapids_voicesensedfraction phone_conversation_rapids_voiceavgenergy phone_conversation_rapids_minconversationduration phone_conversation_rapids_silencesensedfraction phone_conversation_rapids_unknownexpectedfraction phone_conversation_rapids_minutesvoice phone_conversation_rapids_voicesdenergy phone_conversation_rapids_voiceexpectedfraction phone_conversation_rapids_silenceexpectedfraction phone_conversation_rapids_noisemaxenergy phone_conversation_rapids_voicesumenergy phone_conversation_rapids_noiseavgenergy phone_conversation_rapids_minutesnoise phone_conversation_rapids_sdconversationduration phone_conversation_rapids_noisesumenergy phone_conversation_rapids_minutesunknown phone_conversation_rapids_countconversation phone_conversation_rapids_timelastconversation

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@ -1 +1 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_keyboard_rapids_sessioncount","phone_keyboard_rapids_totalkeyboardtouches","phone_keyboard_rapids_averageinterkeydelay","phone_keyboard_rapids_lastmessagelength","phone_keyboard_rapids_averagesessionlength","phone_keyboard_rapids_changeintextlengthlessthanminusone","phone_keyboard_rapids_changeintextlengthmorethanone","phone_keyboard_rapids_maxtextlength","phone_keyboard_rapids_changeintextlengthequaltoone","phone_keyboard_rapids_changeintextlengthequaltominusone" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_keyboard_rapids_averagesessionlength","phone_keyboard_rapids_sessioncount","phone_keyboard_rapids_changeintextlengthmorethanone","phone_keyboard_rapids_averageinterkeydelay","phone_keyboard_rapids_maxtextlength","phone_keyboard_rapids_changeintextlengthequaltominusone","phone_keyboard_rapids_changeintextlengthequaltoone","phone_keyboard_rapids_changeintextlengthlessthanminusone","phone_keyboard_rapids_totalkeyboardtouches","phone_keyboard_rapids_lastmessagelength"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_keyboard_rapids_averagesessionlength phone_keyboard_rapids_sessioncount phone_keyboard_rapids_changeintextlengthmorethanone phone_keyboard_rapids_averageinterkeydelay phone_keyboard_rapids_maxtextlength phone_keyboard_rapids_changeintextlengthequaltominusone phone_keyboard_rapids_changeintextlengthequaltoone phone_keyboard_rapids_changeintextlengthlessthanminusone phone_keyboard_rapids_totalkeyboardtouches phone_keyboard_rapids_lastmessagelength

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@ -1,23 +1,47 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_screen_rapids_countepisodeunlock","phone_screen_rapids_sumdurationunlock","phone_screen_rapids_maxdurationunlock","phone_screen_rapids_mindurationunlock","phone_screen_rapids_avgdurationunlock","phone_screen_rapids_stddurationunlock","phone_screen_rapids_firstuseafter00unlock" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_screen_rapids_countepisodeunlock","phone_screen_rapids_sumdurationunlock","phone_screen_rapids_maxdurationunlock","phone_screen_rapids_mindurationunlock","phone_screen_rapids_avgdurationunlock","phone_screen_rapids_stddurationunlock","phone_screen_rapids_firstuseafter00unlock"
"daily#2020-03-06 00:00:00,2020-03-06 23:59:59","daily","2020-03-06 00:00:00","2020-03-06 23:59:59",7,94.6512666666667,21.6595333333333,6.00136666666667,13.5216095238095,6.18978716736703,170.5 "thirtyminutes0000#2020-03-07 00:00:00,2020-03-07 00:29:59","thirtyminutes0000","2020-03-07 00:00:00","2020-03-07 00:29:59",1,3.99993333333333,3.99993333333333,3.99993333333333,3.99993333333333,NA,5.18333333333333
"daily#2020-03-07 00:00:00,2020-03-07 23:59:59","daily","2020-03-07 00:00:00","2020-03-07 23:59:59",4,18.9996833333333,5.9999,3.99993333333333,4.74992083333333,0.957411150637875,5.18333333333333 "thirtyminutes0000#2020-10-31 00:00:00,2020-10-31 00:29:59","thirtyminutes0000","2020-10-31 00:00:00","2020-10-31 00:29:59",1,3.99993333333333,3.99993333333333,3.99993333333333,3.99993333333333,NA,5.18333333333333
"daily#2020-03-08 00:00:00,2020-03-08 23:59:59","daily","2020-03-08 00:00:00","2020-03-08 23:59:59",3,35.9994,29.9995,2.99995,11.9998,15.5881974604988,5 "thirtyminutes0001#2020-03-08 00:30:00,2020-03-08 00:59:59","thirtyminutes0001","2020-03-08 00:30:00","2020-03-08 00:59:59",1,4.9999,4.9999,4.9999,4.9999,NA,55
"daily#2020-03-09 00:00:00,2020-03-09 23:59:59","daily","2020-03-09 00:00:00","2020-03-09 23:59:59",2,5.9999,3.99993333333333,1.99996666666667,2.99995,1.41418999214706,181 "thirtyminutes0002#2020-03-08 01:00:00,2020-03-08 01:29:59","thirtyminutes0002","2020-03-08 01:00:00","2020-03-08 01:29:59",1,24.9995833333333,24.9995833333333,24.9995833333333,24.9995833333333,NA,60
"daily#2020-10-30 00:00:00,2020-10-30 23:59:59","daily","2020-10-30 00:00:00","2020-10-30 23:59:59",7,94.6512666666667,21.6595333333333,6.00136666666667,13.5216095238095,6.18978716736703,170.5 "thirtyminutes0003#2020-11-01 01:30:00,2020-11-01 01:59:59","thirtyminutes0003","2020-11-01 01:30:00","2020-11-01 01:59:59",1,4.9999,4.9999,4.9999,4.9999,NA,115
"daily#2020-10-31 00:00:00,2020-10-31 23:59:59","daily","2020-10-31 00:00:00","2020-10-31 23:59:59",4,18.9996833333333,5.9999,3.99993333333333,4.74992083333333,0.957411150637875,5.18333333333333 "thirtyminutes0004#2020-11-01 02:00:00,2020-11-01 02:29:59","thirtyminutes0004","2020-11-01 02:00:00","2020-11-01 02:29:59",1,24.9995833333333,24.9995833333333,24.9995833333333,24.9995833333333,NA,120
"daily#2020-11-01 00:00:00,2020-11-01 23:59:59","daily","2020-11-01 00:00:00","2020-11-01 23:59:59",3,35.9994,29.9995,2.99995,11.9998,15.5881974604988,5 "thirtyminutes0005#2020-03-06 02:30:00,2020-03-06 02:59:59","thirtyminutes0005","2020-03-06 02:30:00","2020-03-06 02:59:59",1,6.00136666666667,6.00136666666667,6.00136666666667,6.00136666666667,NA,170.5
"daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",2,5.9999,3.99993333333333,1.99996666666667,2.99995,1.41418999214706,181 "thirtyminutes0005#2020-10-30 02:30:00,2020-10-30 02:59:59","thirtyminutes0005","2020-10-30 02:30:00","2020-10-30 02:59:59",1,6.00136666666667,6.00136666666667,6.00136666666667,6.00136666666667,NA,170.5
"morning#2020-03-06 06:00:00,2020-03-06 11:59:59","morning","2020-03-06 06:00:00","2020-03-06 11:59:59",3,27.9572166666667,21.6595333333333,2.4361,9.31907222222222,10.7108933338698,360 "thirtyminutes0006#2020-03-09 03:00:00,2020-03-09 03:29:59","thirtyminutes0006","2020-03-09 03:00:00","2020-03-09 03:29:59",1,3.99993333333333,3.99993333333333,3.99993333333333,3.99993333333333,NA,181
"morning#2020-10-30 06:00:00,2020-10-30 11:59:59","morning","2020-10-30 06:00:00","2020-10-30 11:59:59",3,27.9572166666667,21.6595333333333,2.4361,9.31907222222222,10.7108933338698,360 "thirtyminutes0006#2020-11-02 03:00:00,2020-11-02 03:29:59","thirtyminutes0006","2020-11-02 03:00:00","2020-11-02 03:29:59",1,3.99993333333333,3.99993333333333,3.99993333333333,3.99993333333333,NA,181
"threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",14,149.65035,29.9995,2.99995,10.6893107142857,8.41713211936808,170.5 "thirtyminutes0011#2020-03-06 05:30:00,2020-03-06 05:59:59","thirtyminutes0011","2020-03-06 05:30:00","2020-03-06 05:59:59",1,3.13668333333333,3.13668333333333,3.13668333333333,3.13668333333333,NA,356.85
"threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",9,60.9989833333333,29.9995,1.99996666666667,6.77766481481481,8.78589046811643,5.18333333333333 "thirtyminutes0011#2020-10-30 05:30:00,2020-10-30 05:59:59","thirtyminutes0011","2020-10-30 05:30:00","2020-10-30 05:59:59",1,3.13668333333333,3.13668333333333,3.13668333333333,3.13668333333333,NA,356.85
"threeday#2020-03-08 00:00:00,2020-03-10 23:59:59","threeday","2020-03-08 00:00:00","2020-03-10 23:59:59",5,41.9993,29.9995,1.99996666666667,8.39986,12.095252100472,5 "thirtyminutes0012#2020-03-06 06:00:00,2020-03-06 06:29:59","thirtyminutes0012","2020-03-06 06:00:00","2020-03-06 06:29:59",1,3.86158333333333,3.86158333333333,3.86158333333333,3.86158333333333,NA,360
"threeday#2020-03-09 00:00:00,2020-03-11 23:59:59","threeday","2020-03-09 00:00:00","2020-03-11 23:59:59",2,5.9999,3.99993333333333,1.99996666666667,2.99995,1.41418999214706,181 "thirtyminutes0012#2020-10-30 06:00:00,2020-10-30 06:29:59","thirtyminutes0012","2020-10-30 06:00:00","2020-10-30 06:29:59",1,3.86158333333333,3.86158333333333,3.86158333333333,3.86158333333333,NA,360
"threeday#2020-10-28 00:00:00,2020-10-30 23:59:59","threeday","2020-10-28 00:00:00","2020-10-30 23:59:59",7,94.6512666666667,21.6595333333333,6.00136666666667,13.5216095238095,6.18978716736703,170.5 "thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59","thirtyminutes0020","2020-03-06 10:00:00","2020-03-06 10:29:59",1,21.6595333333333,21.6595333333333,21.6595333333333,21.6595333333333,NA,600.4
"threeday#2020-10-29 00:00:00,2020-10-31 23:59:59","threeday","2020-10-29 00:00:00","2020-10-31 23:59:59",11,113.65095,21.6595333333333,3.99993333333333,10.3319045454545,6.54587192809369,170.5 "thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59","thirtyminutes0020","2020-10-30 10:00:00","2020-10-30 10:29:59",1,21.6595333333333,21.6595333333333,21.6595333333333,21.6595333333333,NA,600.4
"threeday#2020-10-30 00:00:00,2020-11-01 23:59:59","threeday","2020-10-30 00:00:00","2020-11-01 23:59:59",14,149.65035,29.9995,2.99995,10.6893107142857,8.41713211936808,170.5 "thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59","thirtyminutes0023","2020-03-06 11:30:00","2020-03-06 11:59:59",1,2.4361,2.4361,2.4361,2.4361,NA,717.55
"threeday#2020-10-31 00:00:00,2020-11-02 23:59:59","threeday","2020-10-31 00:00:00","2020-11-02 23:59:59",9,60.9989833333333,29.9995,1.99996666666667,6.77766481481481,8.78589046811643,5.18333333333333 "thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59","thirtyminutes0023","2020-10-30 11:30:00","2020-10-30 11:59:59",1,2.4361,2.4361,2.4361,2.4361,NA,717.55
"threeday#2020-11-01 00:00:00,2020-11-03 23:59:59","threeday","2020-11-01 00:00:00","2020-11-03 23:59:59",5,41.9993,29.9995,1.99996666666667,8.39986,12.095252100472,5 "thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59","thirtyminutes0024","2020-03-06 12:00:00","2020-03-06 12:29:59",1,12.5656666666667,12.5656666666667,12.5656666666667,12.5656666666667,NA,720
"threeday#2020-11-02 00:00:00,2020-11-04 23:59:59","threeday","2020-11-02 00:00:00","2020-11-04 23:59:59",2,5.9999,3.99993333333333,1.99996666666667,2.99995,1.41418999214706,181 "thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59","thirtyminutes0024","2020-10-30 12:00:00","2020-10-30 12:29:59",1,12.5656666666667,12.5656666666667,12.5656666666667,12.5656666666667,NA,720
"weekend#2020-03-06 00:00:00,2020-03-08 23:59:59","weekend","2020-03-06 00:00:00","2020-03-08 23:59:59",14,149.65035,29.9995,2.99995,10.6893107142857,8.41713211936808,170.5 "thirtyminutes0025#2020-03-07 12:30:00,2020-03-07 12:59:59","thirtyminutes0025","2020-03-07 12:30:00","2020-03-07 12:59:59",1,1.9833,1.9833,1.9833,1.9833,NA,778.016666666667
"weekend#2020-10-30 00:00:00,2020-11-01 23:59:59","weekend","2020-10-30 00:00:00","2020-11-01 23:59:59",14,149.65035,29.9995,2.99995,10.6893107142857,8.41713211936808,170.5 "thirtyminutes0025#2020-10-31 12:30:00,2020-10-31 12:59:59","thirtyminutes0025","2020-10-31 12:30:00","2020-10-31 12:59:59",1,1.9833,1.9833,1.9833,1.9833,NA,778.016666666667
"thirtyminutes0026#2020-03-07 13:00:00,2020-03-07 13:29:59","thirtyminutes0026","2020-03-07 13:00:00","2020-03-07 13:29:59",1,3.0166,3.0166,3.0166,3.0166,NA,780
"thirtyminutes0026#2020-10-31 13:00:00,2020-10-31 13:29:59","thirtyminutes0026","2020-10-31 13:00:00","2020-10-31 13:29:59",1,3.0166,3.0166,3.0166,3.0166,NA,780
"thirtyminutes0029#2020-03-06 14:30:00,2020-03-06 14:59:59","thirtyminutes0029","2020-03-06 14:30:00","2020-03-06 14:59:59",1,8.95798333333333,8.95798333333333,8.95798333333333,8.95798333333333,NA,891.033333333333
"thirtyminutes0029#2020-03-07 14:30:00,2020-03-07 14:59:59","thirtyminutes0029","2020-03-07 14:30:00","2020-03-07 14:59:59",1,3.99993333333333,3.99993333333333,3.99993333333333,3.99993333333333,NA,888.016666666667
"thirtyminutes0029#2020-10-30 14:30:00,2020-10-30 14:59:59","thirtyminutes0029","2020-10-30 14:30:00","2020-10-30 14:59:59",1,8.95798333333333,8.95798333333333,8.95798333333333,8.95798333333333,NA,891.033333333333
"thirtyminutes0029#2020-10-31 14:30:00,2020-10-31 14:59:59","thirtyminutes0029","2020-10-31 14:30:00","2020-10-31 14:59:59",1,3.99993333333333,3.99993333333333,3.99993333333333,3.99993333333333,NA,888.016666666667
"thirtyminutes0030#2020-03-06 15:00:00,2020-03-06 15:29:59","thirtyminutes0030","2020-03-06 15:00:00","2020-03-06 15:29:59",1,0.0489333333333333,0.0489333333333333,0.0489333333333333,0.0489333333333333,NA,900
"thirtyminutes0030#2020-10-30 15:00:00,2020-10-30 15:29:59","thirtyminutes0030","2020-10-30 15:00:00","2020-10-30 15:29:59",1,0.0489333333333333,0.0489333333333333,0.0489333333333333,0.0489333333333333,NA,900
"thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59","thirtyminutes0035","2020-03-06 17:30:00","2020-03-06 17:59:59",1,8.54903333333333,8.54903333333333,8.54903333333333,8.54903333333333,NA,1071.45
"thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59","thirtyminutes0035","2020-10-30 17:30:00","2020-10-30 17:59:59",1,8.54903333333333,8.54903333333333,8.54903333333333,8.54903333333333,NA,1071.45
"thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59","thirtyminutes0036","2020-03-06 18:00:00","2020-03-06 18:29:59",1,8.43993333333333,8.43993333333333,8.43993333333333,8.43993333333333,NA,1080
"thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59","thirtyminutes0036","2020-10-30 18:00:00","2020-10-30 18:29:59",1,8.43993333333333,8.43993333333333,8.43993333333333,8.43993333333333,NA,1080
"thirtyminutes0037#2020-03-07 18:30:00,2020-03-07 18:59:59","thirtyminutes0037","2020-03-07 18:30:00","2020-03-07 18:59:59",1,5.9999,5.9999,5.9999,5.9999,NA,1133.01666666667
"thirtyminutes0037#2020-10-31 18:30:00,2020-10-31 18:59:59","thirtyminutes0037","2020-10-31 18:30:00","2020-10-31 18:59:59",1,5.9999,5.9999,5.9999,5.9999,NA,1133.01666666667
"thirtyminutes0041#2020-03-06 20:30:00,2020-03-06 20:59:59","thirtyminutes0041","2020-03-06 20:30:00","2020-03-06 20:59:59",1,17.0195166666667,17.0195166666667,17.0195166666667,17.0195166666667,NA,1242.96666666667
"thirtyminutes0041#2020-10-30 20:30:00,2020-10-30 20:59:59","thirtyminutes0041","2020-10-30 20:30:00","2020-10-30 20:59:59",1,17.0195166666667,17.0195166666667,17.0195166666667,17.0195166666667,NA,1242.96666666667
"thirtyminutes0042#2020-03-06 21:00:00,2020-03-06 21:29:59","thirtyminutes0042","2020-03-06 21:00:00","2020-03-06 21:29:59",1,1.97485,1.97485,1.97485,1.97485,NA,1260
"thirtyminutes0042#2020-03-07 21:00:00,2020-03-07 21:29:59","thirtyminutes0042","2020-03-07 21:00:00","2020-03-07 21:29:59",1,2.99995,2.99995,2.99995,2.99995,NA,1265
"thirtyminutes0042#2020-03-09 21:00:00,2020-03-09 21:29:59","thirtyminutes0042","2020-03-09 21:00:00","2020-03-09 21:29:59",1,1.99996666666667,1.99996666666667,1.99996666666667,1.99996666666667,NA,1265
"thirtyminutes0042#2020-10-30 21:00:00,2020-10-30 21:29:59","thirtyminutes0042","2020-10-30 21:00:00","2020-10-30 21:29:59",1,1.97485,1.97485,1.97485,1.97485,NA,1260
"thirtyminutes0042#2020-10-31 21:00:00,2020-10-31 21:29:59","thirtyminutes0042","2020-10-31 21:00:00","2020-10-31 21:29:59",1,2.99995,2.99995,2.99995,2.99995,NA,1265
"thirtyminutes0042#2020-11-02 21:00:00,2020-11-02 21:29:59","thirtyminutes0042","2020-11-02 21:00:00","2020-11-02 21:29:59",1,1.99996666666667,1.99996666666667,1.99996666666667,1.99996666666667,NA,1265
"thirtyminutes0044#2020-03-08 22:00:00,2020-03-08 22:29:59","thirtyminutes0044","2020-03-08 22:00:00","2020-03-08 22:29:59",1,2.99995,2.99995,2.99995,2.99995,NA,1322
"thirtyminutes0044#2020-11-01 22:00:00,2020-11-01 22:29:59","thirtyminutes0044","2020-11-01 22:00:00","2020-11-01 22:29:59",1,2.99995,2.99995,2.99995,2.99995,NA,1322

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_screen_rapids_countepisodeunlock phone_screen_rapids_sumdurationunlock phone_screen_rapids_maxdurationunlock phone_screen_rapids_mindurationunlock phone_screen_rapids_avgdurationunlock phone_screen_rapids_stddurationunlock phone_screen_rapids_firstuseafter00unlock
2 daily#2020-03-06 00:00:00,2020-03-06 23:59:59 thirtyminutes0000#2020-03-07 00:00:00,2020-03-07 00:29:59 daily thirtyminutes0000 2020-03-06 00:00:00 2020-03-07 00:00:00 2020-03-06 23:59:59 2020-03-07 00:29:59 7 1 94.6512666666667 3.99993333333333 21.6595333333333 3.99993333333333 6.00136666666667 3.99993333333333 13.5216095238095 3.99993333333333 6.18978716736703 NA 170.5 5.18333333333333
3 daily#2020-03-07 00:00:00,2020-03-07 23:59:59 thirtyminutes0000#2020-10-31 00:00:00,2020-10-31 00:29:59 daily thirtyminutes0000 2020-03-07 00:00:00 2020-10-31 00:00:00 2020-03-07 23:59:59 2020-10-31 00:29:59 4 1 18.9996833333333 3.99993333333333 5.9999 3.99993333333333 3.99993333333333 4.74992083333333 3.99993333333333 0.957411150637875 NA 5.18333333333333
4 daily#2020-03-08 00:00:00,2020-03-08 23:59:59 thirtyminutes0001#2020-03-08 00:30:00,2020-03-08 00:59:59 daily thirtyminutes0001 2020-03-08 00:00:00 2020-03-08 00:30:00 2020-03-08 23:59:59 2020-03-08 00:59:59 3 1 35.9994 4.9999 29.9995 4.9999 2.99995 4.9999 11.9998 4.9999 15.5881974604988 NA 5 55
5 daily#2020-03-09 00:00:00,2020-03-09 23:59:59 thirtyminutes0002#2020-03-08 01:00:00,2020-03-08 01:29:59 daily thirtyminutes0002 2020-03-09 00:00:00 2020-03-08 01:00:00 2020-03-09 23:59:59 2020-03-08 01:29:59 2 1 5.9999 24.9995833333333 3.99993333333333 24.9995833333333 1.99996666666667 24.9995833333333 2.99995 24.9995833333333 1.41418999214706 NA 181 60
6 daily#2020-10-30 00:00:00,2020-10-30 23:59:59 thirtyminutes0003#2020-11-01 01:30:00,2020-11-01 01:59:59 daily thirtyminutes0003 2020-10-30 00:00:00 2020-11-01 01:30:00 2020-10-30 23:59:59 2020-11-01 01:59:59 7 1 94.6512666666667 4.9999 21.6595333333333 4.9999 6.00136666666667 4.9999 13.5216095238095 4.9999 6.18978716736703 NA 170.5 115
7 daily#2020-10-31 00:00:00,2020-10-31 23:59:59 thirtyminutes0004#2020-11-01 02:00:00,2020-11-01 02:29:59 daily thirtyminutes0004 2020-10-31 00:00:00 2020-11-01 02:00:00 2020-10-31 23:59:59 2020-11-01 02:29:59 4 1 18.9996833333333 24.9995833333333 5.9999 24.9995833333333 3.99993333333333 24.9995833333333 4.74992083333333 24.9995833333333 0.957411150637875 NA 5.18333333333333 120
8 daily#2020-11-01 00:00:00,2020-11-01 23:59:59 thirtyminutes0005#2020-03-06 02:30:00,2020-03-06 02:59:59 daily thirtyminutes0005 2020-11-01 00:00:00 2020-03-06 02:30:00 2020-11-01 23:59:59 2020-03-06 02:59:59 3 1 35.9994 6.00136666666667 29.9995 6.00136666666667 2.99995 6.00136666666667 11.9998 6.00136666666667 15.5881974604988 NA 5 170.5
9 daily#2020-11-02 00:00:00,2020-11-02 23:59:59 thirtyminutes0005#2020-10-30 02:30:00,2020-10-30 02:59:59 daily thirtyminutes0005 2020-11-02 00:00:00 2020-10-30 02:30:00 2020-11-02 23:59:59 2020-10-30 02:59:59 2 1 5.9999 6.00136666666667 3.99993333333333 6.00136666666667 1.99996666666667 6.00136666666667 2.99995 6.00136666666667 1.41418999214706 NA 181 170.5
10 morning#2020-03-06 06:00:00,2020-03-06 11:59:59 thirtyminutes0006#2020-03-09 03:00:00,2020-03-09 03:29:59 morning thirtyminutes0006 2020-03-06 06:00:00 2020-03-09 03:00:00 2020-03-06 11:59:59 2020-03-09 03:29:59 3 1 27.9572166666667 3.99993333333333 21.6595333333333 3.99993333333333 2.4361 3.99993333333333 9.31907222222222 3.99993333333333 10.7108933338698 NA 360 181
11 morning#2020-10-30 06:00:00,2020-10-30 11:59:59 thirtyminutes0006#2020-11-02 03:00:00,2020-11-02 03:29:59 morning thirtyminutes0006 2020-10-30 06:00:00 2020-11-02 03:00:00 2020-10-30 11:59:59 2020-11-02 03:29:59 3 1 27.9572166666667 3.99993333333333 21.6595333333333 3.99993333333333 2.4361 3.99993333333333 9.31907222222222 3.99993333333333 10.7108933338698 NA 360 181
12 threeday#2020-03-06 00:00:00,2020-03-08 23:59:59 thirtyminutes0011#2020-03-06 05:30:00,2020-03-06 05:59:59 threeday thirtyminutes0011 2020-03-06 00:00:00 2020-03-06 05:30:00 2020-03-08 23:59:59 2020-03-06 05:59:59 14 1 149.65035 3.13668333333333 29.9995 3.13668333333333 2.99995 3.13668333333333 10.6893107142857 3.13668333333333 8.41713211936808 NA 170.5 356.85
13 threeday#2020-03-07 00:00:00,2020-03-09 23:59:59 thirtyminutes0011#2020-10-30 05:30:00,2020-10-30 05:59:59 threeday thirtyminutes0011 2020-03-07 00:00:00 2020-10-30 05:30:00 2020-03-09 23:59:59 2020-10-30 05:59:59 9 1 60.9989833333333 3.13668333333333 29.9995 3.13668333333333 1.99996666666667 3.13668333333333 6.77766481481481 3.13668333333333 8.78589046811643 NA 5.18333333333333 356.85
14 threeday#2020-03-08 00:00:00,2020-03-10 23:59:59 thirtyminutes0012#2020-03-06 06:00:00,2020-03-06 06:29:59 threeday thirtyminutes0012 2020-03-08 00:00:00 2020-03-06 06:00:00 2020-03-10 23:59:59 2020-03-06 06:29:59 5 1 41.9993 3.86158333333333 29.9995 3.86158333333333 1.99996666666667 3.86158333333333 8.39986 3.86158333333333 12.095252100472 NA 5 360
15 threeday#2020-03-09 00:00:00,2020-03-11 23:59:59 thirtyminutes0012#2020-10-30 06:00:00,2020-10-30 06:29:59 threeday thirtyminutes0012 2020-03-09 00:00:00 2020-10-30 06:00:00 2020-03-11 23:59:59 2020-10-30 06:29:59 2 1 5.9999 3.86158333333333 3.99993333333333 3.86158333333333 1.99996666666667 3.86158333333333 2.99995 3.86158333333333 1.41418999214706 NA 181 360
16 threeday#2020-10-28 00:00:00,2020-10-30 23:59:59 thirtyminutes0020#2020-03-06 10:00:00,2020-03-06 10:29:59 threeday thirtyminutes0020 2020-10-28 00:00:00 2020-03-06 10:00:00 2020-10-30 23:59:59 2020-03-06 10:29:59 7 1 94.6512666666667 21.6595333333333 21.6595333333333 6.00136666666667 21.6595333333333 13.5216095238095 21.6595333333333 6.18978716736703 NA 170.5 600.4
17 threeday#2020-10-29 00:00:00,2020-10-31 23:59:59 thirtyminutes0020#2020-10-30 10:00:00,2020-10-30 10:29:59 threeday thirtyminutes0020 2020-10-29 00:00:00 2020-10-30 10:00:00 2020-10-31 23:59:59 2020-10-30 10:29:59 11 1 113.65095 21.6595333333333 21.6595333333333 3.99993333333333 21.6595333333333 10.3319045454545 21.6595333333333 6.54587192809369 NA 170.5 600.4
18 threeday#2020-10-30 00:00:00,2020-11-01 23:59:59 thirtyminutes0023#2020-03-06 11:30:00,2020-03-06 11:59:59 threeday thirtyminutes0023 2020-10-30 00:00:00 2020-03-06 11:30:00 2020-11-01 23:59:59 2020-03-06 11:59:59 14 1 149.65035 2.4361 29.9995 2.4361 2.99995 2.4361 10.6893107142857 2.4361 8.41713211936808 NA 170.5 717.55
19 threeday#2020-10-31 00:00:00,2020-11-02 23:59:59 thirtyminutes0023#2020-10-30 11:30:00,2020-10-30 11:59:59 threeday thirtyminutes0023 2020-10-31 00:00:00 2020-10-30 11:30:00 2020-11-02 23:59:59 2020-10-30 11:59:59 9 1 60.9989833333333 2.4361 29.9995 2.4361 1.99996666666667 2.4361 6.77766481481481 2.4361 8.78589046811643 NA 5.18333333333333 717.55
20 threeday#2020-11-01 00:00:00,2020-11-03 23:59:59 thirtyminutes0024#2020-03-06 12:00:00,2020-03-06 12:29:59 threeday thirtyminutes0024 2020-11-01 00:00:00 2020-03-06 12:00:00 2020-11-03 23:59:59 2020-03-06 12:29:59 5 1 41.9993 12.5656666666667 29.9995 12.5656666666667 1.99996666666667 12.5656666666667 8.39986 12.5656666666667 12.095252100472 NA 5 720
21 threeday#2020-11-02 00:00:00,2020-11-04 23:59:59 thirtyminutes0024#2020-10-30 12:00:00,2020-10-30 12:29:59 threeday thirtyminutes0024 2020-11-02 00:00:00 2020-10-30 12:00:00 2020-11-04 23:59:59 2020-10-30 12:29:59 2 1 5.9999 12.5656666666667 3.99993333333333 12.5656666666667 1.99996666666667 12.5656666666667 2.99995 12.5656666666667 1.41418999214706 NA 181 720
22 weekend#2020-03-06 00:00:00,2020-03-08 23:59:59 thirtyminutes0025#2020-03-07 12:30:00,2020-03-07 12:59:59 weekend thirtyminutes0025 2020-03-06 00:00:00 2020-03-07 12:30:00 2020-03-08 23:59:59 2020-03-07 12:59:59 14 1 149.65035 1.9833 29.9995 1.9833 2.99995 1.9833 10.6893107142857 1.9833 8.41713211936808 NA 170.5 778.016666666667
23 weekend#2020-10-30 00:00:00,2020-11-01 23:59:59 thirtyminutes0025#2020-10-31 12:30:00,2020-10-31 12:59:59 weekend thirtyminutes0025 2020-10-30 00:00:00 2020-10-31 12:30:00 2020-11-01 23:59:59 2020-10-31 12:59:59 14 1 149.65035 1.9833 29.9995 1.9833 2.99995 1.9833 10.6893107142857 1.9833 8.41713211936808 NA 170.5 778.016666666667
24 thirtyminutes0026#2020-03-07 13:00:00,2020-03-07 13:29:59 thirtyminutes0026 2020-03-07 13:00:00 2020-03-07 13:29:59 1 3.0166 3.0166 3.0166 3.0166 NA 780
25 thirtyminutes0026#2020-10-31 13:00:00,2020-10-31 13:29:59 thirtyminutes0026 2020-10-31 13:00:00 2020-10-31 13:29:59 1 3.0166 3.0166 3.0166 3.0166 NA 780
26 thirtyminutes0029#2020-03-06 14:30:00,2020-03-06 14:59:59 thirtyminutes0029 2020-03-06 14:30:00 2020-03-06 14:59:59 1 8.95798333333333 8.95798333333333 8.95798333333333 8.95798333333333 NA 891.033333333333
27 thirtyminutes0029#2020-03-07 14:30:00,2020-03-07 14:59:59 thirtyminutes0029 2020-03-07 14:30:00 2020-03-07 14:59:59 1 3.99993333333333 3.99993333333333 3.99993333333333 3.99993333333333 NA 888.016666666667
28 thirtyminutes0029#2020-10-30 14:30:00,2020-10-30 14:59:59 thirtyminutes0029 2020-10-30 14:30:00 2020-10-30 14:59:59 1 8.95798333333333 8.95798333333333 8.95798333333333 8.95798333333333 NA 891.033333333333
29 thirtyminutes0029#2020-10-31 14:30:00,2020-10-31 14:59:59 thirtyminutes0029 2020-10-31 14:30:00 2020-10-31 14:59:59 1 3.99993333333333 3.99993333333333 3.99993333333333 3.99993333333333 NA 888.016666666667
30 thirtyminutes0030#2020-03-06 15:00:00,2020-03-06 15:29:59 thirtyminutes0030 2020-03-06 15:00:00 2020-03-06 15:29:59 1 0.0489333333333333 0.0489333333333333 0.0489333333333333 0.0489333333333333 NA 900
31 thirtyminutes0030#2020-10-30 15:00:00,2020-10-30 15:29:59 thirtyminutes0030 2020-10-30 15:00:00 2020-10-30 15:29:59 1 0.0489333333333333 0.0489333333333333 0.0489333333333333 0.0489333333333333 NA 900
32 thirtyminutes0035#2020-03-06 17:30:00,2020-03-06 17:59:59 thirtyminutes0035 2020-03-06 17:30:00 2020-03-06 17:59:59 1 8.54903333333333 8.54903333333333 8.54903333333333 8.54903333333333 NA 1071.45
33 thirtyminutes0035#2020-10-30 17:30:00,2020-10-30 17:59:59 thirtyminutes0035 2020-10-30 17:30:00 2020-10-30 17:59:59 1 8.54903333333333 8.54903333333333 8.54903333333333 8.54903333333333 NA 1071.45
34 thirtyminutes0036#2020-03-06 18:00:00,2020-03-06 18:29:59 thirtyminutes0036 2020-03-06 18:00:00 2020-03-06 18:29:59 1 8.43993333333333 8.43993333333333 8.43993333333333 8.43993333333333 NA 1080
35 thirtyminutes0036#2020-10-30 18:00:00,2020-10-30 18:29:59 thirtyminutes0036 2020-10-30 18:00:00 2020-10-30 18:29:59 1 8.43993333333333 8.43993333333333 8.43993333333333 8.43993333333333 NA 1080
36 thirtyminutes0037#2020-03-07 18:30:00,2020-03-07 18:59:59 thirtyminutes0037 2020-03-07 18:30:00 2020-03-07 18:59:59 1 5.9999 5.9999 5.9999 5.9999 NA 1133.01666666667
37 thirtyminutes0037#2020-10-31 18:30:00,2020-10-31 18:59:59 thirtyminutes0037 2020-10-31 18:30:00 2020-10-31 18:59:59 1 5.9999 5.9999 5.9999 5.9999 NA 1133.01666666667
38 thirtyminutes0041#2020-03-06 20:30:00,2020-03-06 20:59:59 thirtyminutes0041 2020-03-06 20:30:00 2020-03-06 20:59:59 1 17.0195166666667 17.0195166666667 17.0195166666667 17.0195166666667 NA 1242.96666666667
39 thirtyminutes0041#2020-10-30 20:30:00,2020-10-30 20:59:59 thirtyminutes0041 2020-10-30 20:30:00 2020-10-30 20:59:59 1 17.0195166666667 17.0195166666667 17.0195166666667 17.0195166666667 NA 1242.96666666667
40 thirtyminutes0042#2020-03-06 21:00:00,2020-03-06 21:29:59 thirtyminutes0042 2020-03-06 21:00:00 2020-03-06 21:29:59 1 1.97485 1.97485 1.97485 1.97485 NA 1260
41 thirtyminutes0042#2020-03-07 21:00:00,2020-03-07 21:29:59 thirtyminutes0042 2020-03-07 21:00:00 2020-03-07 21:29:59 1 2.99995 2.99995 2.99995 2.99995 NA 1265
42 thirtyminutes0042#2020-03-09 21:00:00,2020-03-09 21:29:59 thirtyminutes0042 2020-03-09 21:00:00 2020-03-09 21:29:59 1 1.99996666666667 1.99996666666667 1.99996666666667 1.99996666666667 NA 1265
43 thirtyminutes0042#2020-10-30 21:00:00,2020-10-30 21:29:59 thirtyminutes0042 2020-10-30 21:00:00 2020-10-30 21:29:59 1 1.97485 1.97485 1.97485 1.97485 NA 1260
44 thirtyminutes0042#2020-10-31 21:00:00,2020-10-31 21:29:59 thirtyminutes0042 2020-10-31 21:00:00 2020-10-31 21:29:59 1 2.99995 2.99995 2.99995 2.99995 NA 1265
45 thirtyminutes0042#2020-11-02 21:00:00,2020-11-02 21:29:59 thirtyminutes0042 2020-11-02 21:00:00 2020-11-02 21:29:59 1 1.99996666666667 1.99996666666667 1.99996666666667 1.99996666666667 NA 1265
46 thirtyminutes0044#2020-03-08 22:00:00,2020-03-08 22:29:59 thirtyminutes0044 2020-03-08 22:00:00 2020-03-08 22:29:59 1 2.99995 2.99995 2.99995 2.99995 NA 1322
47 thirtyminutes0044#2020-11-01 22:00:00,2020-11-01 22:29:59 thirtyminutes0044 2020-11-01 22:00:00 2020-11-01 22:29:59 1 2.99995 2.99995 2.99995 2.99995 NA 1322

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@ -1 +1 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_mindurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_sumdurationactivebout

View File

@ -1,18 +1,18 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_activity_recognition_rapids_count","phone_activity_recognition_rapids_mostcommonactivity","phone_activity_recognition_rapids_countuniqueactivities","phone_activity_recognition_rapids_durationstationary","phone_activity_recognition_rapids_durationmobile","phone_activity_recognition_rapids_durationvehicle" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_activity_recognition_rapids_count","phone_activity_recognition_rapids_mostcommonactivity","phone_activity_recognition_rapids_countuniqueactivities","phone_activity_recognition_rapids_durationstationary","phone_activity_recognition_rapids_durationmobile","phone_activity_recognition_rapids_durationvehicle"
"daily#2020-03-06 00:00:00,2020-03-06 23:59:59","daily","2020-03-06 00:00:00","2020-03-06 23:59:59",47,3,8,89.8647166666667,112.7929,43.7290666666667 "daily#2020-03-06 00:00:00,2020-03-06 23:59:59","daily","2020-03-06 00:00:00","2020-03-06 23:59:59",47,3,8,89.8647166666667,112.7929,43.7290666666667
"daily#2020-03-07 00:00:00,2020-03-07 23:59:59","daily","2020-03-07 00:00:00","2020-03-07 23:59:59",10,3,4,19.9996666666667,19.9996666666667,9.99983333333333 "daily#2020-03-07 00:00:00,2020-03-07 23:59:59","daily","2020-03-07 00:00:00","2020-03-07 23:59:59",10,3,4,19.9996666666667,19.9996666666667,9.99983333333333
"daily#2020-03-08 00:00:00,2020-03-08 23:59:59","daily","2020-03-08 00:00:00","2020-03-08 23:59:59",5,5,2,14.99975,9.99983333333333,0 "daily#2020-03-08 00:00:00,2020-03-08 23:59:59","daily","2020-03-08 00:00:00","2020-03-08 23:59:59",5,5,2,14.99975,9.99983333333333,NA
"daily#2020-03-09 00:00:00,2020-03-09 23:59:59","daily","2020-03-09 00:00:00","2020-03-09 23:59:59",5,0,3,6.99988333333333,9.99983333333333,9.99983333333333 "daily#2020-03-09 00:00:00,2020-03-09 23:59:59","daily","2020-03-09 00:00:00","2020-03-09 23:59:59",5,0,3,6.99988333333333,9.99983333333333,9.99983333333333
"daily#2020-10-30 00:00:00,2020-10-30 23:59:59","daily","2020-10-30 00:00:00","2020-10-30 23:59:59",47,3,8,89.8647166666667,112.7929,43.7290666666667 "daily#2020-10-30 00:00:00,2020-10-30 23:59:59","daily","2020-10-30 00:00:00","2020-10-30 23:59:59",47,3,8,89.8647166666667,112.7929,43.7290666666667
"daily#2020-10-31 00:00:00,2020-10-31 23:59:59","daily","2020-10-31 00:00:00","2020-10-31 23:59:59",9,3,4,14.99975,19.9996666666667,9.99983333333333 "daily#2020-10-31 00:00:00,2020-10-31 23:59:59","daily","2020-10-31 00:00:00","2020-10-31 23:59:59",9,3,4,14.99975,19.9996666666667,9.99983333333333
"daily#2020-11-01 00:00:00,2020-11-01 23:59:59","daily","2020-11-01 00:00:00","2020-11-01 23:59:59",6,5,3,19.9996666666667,9.99983333333333,0 "daily#2020-11-01 00:00:00,2020-11-01 23:59:59","daily","2020-11-01 00:00:00","2020-11-01 23:59:59",6,5,3,19.9996666666667,9.99983333333333,NA
"daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",5,0,3,6.99988333333333,9.99983333333333,9.99983333333333 "daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",5,0,3,6.99988333333333,9.99983333333333,9.99983333333333
"morning#2020-03-06 06:00:00,2020-03-06 11:59:59","morning","2020-03-06 06:00:00","2020-03-06 11:59:59",13,3,5,19.8658833333333,44.4810333333333,15.1531666666667 "morning#2020-03-06 06:00:00,2020-03-06 11:59:59","morning","2020-03-06 06:00:00","2020-03-06 11:59:59",13,3,5,19.8658833333333,44.4810333333333,15.1531666666667
"morning#2020-03-07 06:00:00,2020-03-07 11:59:59","morning","2020-03-07 06:00:00","2020-03-07 11:59:59",2,7,1,0,9.99983333333333,0 "morning#2020-03-07 06:00:00,2020-03-07 11:59:59","morning","2020-03-07 06:00:00","2020-03-07 11:59:59",2,7,1,NA,9.99983333333333,NA
"morning#2020-03-09 06:00:00,2020-03-09 11:59:59","morning","2020-03-09 06:00:00","2020-03-09 11:59:59",2,7,1,0,9.99983333333333,0 "morning#2020-03-09 06:00:00,2020-03-09 11:59:59","morning","2020-03-09 06:00:00","2020-03-09 11:59:59",2,7,1,NA,9.99983333333333,NA
"morning#2020-10-30 06:00:00,2020-10-30 11:59:59","morning","2020-10-30 06:00:00","2020-10-30 11:59:59",13,3,5,19.8658833333333,44.4810333333333,15.1531666666667 "morning#2020-10-30 06:00:00,2020-10-30 11:59:59","morning","2020-10-30 06:00:00","2020-10-30 11:59:59",13,3,5,19.8658833333333,44.4810333333333,15.1531666666667
"morning#2020-10-31 06:00:00,2020-10-31 11:59:59","morning","2020-10-31 06:00:00","2020-10-31 11:59:59",2,7,1,0,9.99983333333333,0 "morning#2020-10-31 06:00:00,2020-10-31 11:59:59","morning","2020-10-31 06:00:00","2020-10-31 11:59:59",2,7,1,NA,9.99983333333333,NA
"morning#2020-11-02 06:00:00,2020-11-02 11:59:59","morning","2020-11-02 06:00:00","2020-11-02 11:59:59",2,7,1,0,9.99983333333333,0 "morning#2020-11-02 06:00:00,2020-11-02 11:59:59","morning","2020-11-02 06:00:00","2020-11-02 11:59:59",2,7,1,NA,9.99983333333333,NA
"threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",62,3,8,124.864133333333,142.7924,53.7289 "threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",62,3,8,124.864133333333,142.7924,53.7289
"threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",20,3,6,41.9993,39.9993333333333,19.9996666666667 "threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",20,3,6,41.9993,39.9993333333333,19.9996666666667
"threeday#2020-03-08 00:00:00,2020-03-10 23:59:59","threeday","2020-03-08 00:00:00","2020-03-10 23:59:59",10,5,5,21.9996333333333,19.9996666666667,9.99983333333333 "threeday#2020-03-08 00:00:00,2020-03-10 23:59:59","threeday","2020-03-08 00:00:00","2020-03-10 23:59:59",10,5,5,21.9996333333333,19.9996666666667,9.99983333333333

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_activity_recognition_rapids_count phone_activity_recognition_rapids_mostcommonactivity phone_activity_recognition_rapids_countuniqueactivities phone_activity_recognition_rapids_durationstationary phone_activity_recognition_rapids_durationmobile phone_activity_recognition_rapids_durationvehicle
2 daily#2020-03-06 00:00:00,2020-03-06 23:59:59 daily 2020-03-06 00:00:00 2020-03-06 23:59:59 47 3 8 89.8647166666667 112.7929 43.7290666666667
3 daily#2020-03-07 00:00:00,2020-03-07 23:59:59 daily 2020-03-07 00:00:00 2020-03-07 23:59:59 10 3 4 19.9996666666667 19.9996666666667 9.99983333333333
4 daily#2020-03-08 00:00:00,2020-03-08 23:59:59 daily 2020-03-08 00:00:00 2020-03-08 23:59:59 5 5 2 14.99975 9.99983333333333 0 NA
5 daily#2020-03-09 00:00:00,2020-03-09 23:59:59 daily 2020-03-09 00:00:00 2020-03-09 23:59:59 5 0 3 6.99988333333333 9.99983333333333 9.99983333333333
6 daily#2020-10-30 00:00:00,2020-10-30 23:59:59 daily 2020-10-30 00:00:00 2020-10-30 23:59:59 47 3 8 89.8647166666667 112.7929 43.7290666666667
7 daily#2020-10-31 00:00:00,2020-10-31 23:59:59 daily 2020-10-31 00:00:00 2020-10-31 23:59:59 9 3 4 14.99975 19.9996666666667 9.99983333333333
8 daily#2020-11-01 00:00:00,2020-11-01 23:59:59 daily 2020-11-01 00:00:00 2020-11-01 23:59:59 6 5 3 19.9996666666667 9.99983333333333 0 NA
9 daily#2020-11-02 00:00:00,2020-11-02 23:59:59 daily 2020-11-02 00:00:00 2020-11-02 23:59:59 5 0 3 6.99988333333333 9.99983333333333 9.99983333333333
10 morning#2020-03-06 06:00:00,2020-03-06 11:59:59 morning 2020-03-06 06:00:00 2020-03-06 11:59:59 13 3 5 19.8658833333333 44.4810333333333 15.1531666666667
11 morning#2020-03-07 06:00:00,2020-03-07 11:59:59 morning 2020-03-07 06:00:00 2020-03-07 11:59:59 2 7 1 0 NA 9.99983333333333 0 NA
12 morning#2020-03-09 06:00:00,2020-03-09 11:59:59 morning 2020-03-09 06:00:00 2020-03-09 11:59:59 2 7 1 0 NA 9.99983333333333 0 NA
13 morning#2020-10-30 06:00:00,2020-10-30 11:59:59 morning 2020-10-30 06:00:00 2020-10-30 11:59:59 13 3 5 19.8658833333333 44.4810333333333 15.1531666666667
14 morning#2020-10-31 06:00:00,2020-10-31 11:59:59 morning 2020-10-31 06:00:00 2020-10-31 11:59:59 2 7 1 0 NA 9.99983333333333 0 NA
15 morning#2020-11-02 06:00:00,2020-11-02 11:59:59 morning 2020-11-02 06:00:00 2020-11-02 11:59:59 2 7 1 0 NA 9.99983333333333 0 NA
16 threeday#2020-03-06 00:00:00,2020-03-08 23:59:59 threeday 2020-03-06 00:00:00 2020-03-08 23:59:59 62 3 8 124.864133333333 142.7924 53.7289
17 threeday#2020-03-07 00:00:00,2020-03-09 23:59:59 threeday 2020-03-07 00:00:00 2020-03-09 23:59:59 20 3 6 41.9993 39.9993333333333 19.9996666666667
18 threeday#2020-03-08 00:00:00,2020-03-10 23:59:59 threeday 2020-03-08 00:00:00 2020-03-10 23:59:59 10 5 5 21.9996333333333 19.9996666666667 9.99983333333333

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@ -1,25 +0,0 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_countdischarge","phone_battery_rapids_sumdurationdischarge","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_maxconsumptionrate","phone_battery_rapids_countcharge","phone_battery_rapids_sumdurationcharge"
"daily#2020-03-06 00:00:00,2020-03-06 23:59:59","daily","2020-03-06 00:00:00","2020-03-06 23:59:59",7,209.252233333333,0.162372228128814,0.454125732277743,6,233.02095
"daily#2020-03-07 00:00:00,2020-03-07 23:59:59","daily","2020-03-07 00:00:00","2020-03-07 23:59:59",2,70.9154833333333,0.0607260020848825,0.0769243589957268,2,83.9986
"daily#2020-03-08 00:00:00,2020-03-08 23:59:59","daily","2020-03-08 00:00:00","2020-03-08 23:59:59",1,43.9992666666667,0.0454553030429295,0.0454553030429295,1,16.9997166666667
"daily#2020-03-09 00:00:00,2020-03-09 23:59:59","daily","2020-03-09 00:00:00","2020-03-09 23:59:59",1,41.9993,0.047619841283069,0.047619841283069,1,41.9993
"daily#2020-10-30 00:00:00,2020-10-30 23:59:59","daily","2020-10-30 00:00:00","2020-10-30 23:59:59",7,209.252233333333,0.162372228128814,0.454125732277743,6,233.02095
"daily#2020-10-31 00:00:00,2020-10-31 23:59:59","daily","2020-10-31 00:00:00","2020-10-31 23:59:59",2,70.9154833333333,0.0607260020848825,0.0769243589957268,2,83.9986
"daily#2020-11-01 00:00:00,2020-11-01 23:59:59","daily","2020-11-01 00:00:00","2020-11-01 23:59:59",1,43.9992666666667,0.0454553030429295,0.0454553030429295,1,16.9997166666667
"daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",1,41.9993,0.047619841283069,0.047619841283069,1,41.9993
"morning#2020-03-06 06:00:00,2020-03-06 11:59:59","morning","2020-03-06 06:00:00","2020-03-06 11:59:59",2,75.56395,0.065515964597609,0.0731286084397727,2,42.61665
"morning#2020-03-09 06:00:00,2020-03-09 11:59:59","morning","2020-03-09 06:00:00","2020-03-09 11:59:59",0,0,0,0,1,41.9993
"morning#2020-10-30 06:00:00,2020-10-30 11:59:59","morning","2020-10-30 06:00:00","2020-10-30 11:59:59",2,75.56395,0.065515964597609,0.0731286084397727,2,42.61665
"morning#2020-11-02 06:00:00,2020-11-02 11:59:59","morning","2020-11-02 06:00:00","2020-11-02 11:59:59",0,0,0,0,1,41.9993
"threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",10,352.964433333333,0.0881645773996147,0.301282459000479,9,334.019266666667
"threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",4,156.91405,0.0536317871239409,0.0769243589957268,4,142.997616666667
"threeday#2020-03-08 00:00:00,2020-03-10 23:59:59","threeday","2020-03-08 00:00:00","2020-03-10 23:59:59",2,85.9985666666666,0.0465375721629993,0.047619841283069,2,58.9990166666667
"threeday#2020-03-09 00:00:00,2020-03-11 23:59:59","threeday","2020-03-09 00:00:00","2020-03-11 23:59:59",1,41.9993,0.047619841283069,0.047619841283069,1,41.9993
"threeday#2020-10-28 00:00:00,2020-10-30 23:59:59","threeday","2020-10-28 00:00:00","2020-10-30 23:59:59",7,209.252233333333,0.162372228128814,0.454125732277743,6,233.02095
"threeday#2020-10-29 00:00:00,2020-10-31 23:59:59","threeday","2020-10-29 00:00:00","2020-10-31 23:59:59",9,308.965166666667,0.0929100523281352,0.301282459000479,8,317.01955
"threeday#2020-10-30 00:00:00,2020-11-01 23:59:59","threeday","2020-10-30 00:00:00","2020-11-01 23:59:59",10,352.964433333333,0.0881645773996147,0.301282459000479,9,334.019266666667
"threeday#2020-10-31 00:00:00,2020-11-02 23:59:59","threeday","2020-10-31 00:00:00","2020-11-02 23:59:59",4,156.91405,0.0536317871239409,0.0769243589957268,4,142.997616666667
"threeday#2020-11-01 00:00:00,2020-11-03 23:59:59","threeday","2020-11-01 00:00:00","2020-11-03 23:59:59",2,85.9985666666666,0.0465375721629993,0.047619841283069,2,58.9990166666667
"threeday#2020-11-02 00:00:00,2020-11-04 23:59:59","threeday","2020-11-02 00:00:00","2020-11-04 23:59:59",1,41.9993,0.047619841283069,0.047619841283069,1,41.9993
"weekend#2020-03-06 00:00:00,2020-03-08 23:59:59","weekend","2020-03-06 00:00:00","2020-03-08 23:59:59",10,352.964433333333,0.0881645773996147,0.301282459000479,9,334.019266666667
"weekend#2020-10-30 00:00:00,2020-11-01 23:59:59","weekend","2020-10-30 00:00:00","2020-11-01 23:59:59",10,352.964433333333,0.0881645773996147,0.301282459000479,9,334.019266666667
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_countdischarge phone_battery_rapids_sumdurationdischarge phone_battery_rapids_avgconsumptionrate phone_battery_rapids_maxconsumptionrate phone_battery_rapids_countcharge phone_battery_rapids_sumdurationcharge
2 daily#2020-03-06 00:00:00,2020-03-06 23:59:59 daily 2020-03-06 00:00:00 2020-03-06 23:59:59 7 209.252233333333 0.162372228128814 0.454125732277743 6 233.02095
3 daily#2020-03-07 00:00:00,2020-03-07 23:59:59 daily 2020-03-07 00:00:00 2020-03-07 23:59:59 2 70.9154833333333 0.0607260020848825 0.0769243589957268 2 83.9986
4 daily#2020-03-08 00:00:00,2020-03-08 23:59:59 daily 2020-03-08 00:00:00 2020-03-08 23:59:59 1 43.9992666666667 0.0454553030429295 0.0454553030429295 1 16.9997166666667
5 daily#2020-03-09 00:00:00,2020-03-09 23:59:59 daily 2020-03-09 00:00:00 2020-03-09 23:59:59 1 41.9993 0.047619841283069 0.047619841283069 1 41.9993
6 daily#2020-10-30 00:00:00,2020-10-30 23:59:59 daily 2020-10-30 00:00:00 2020-10-30 23:59:59 7 209.252233333333 0.162372228128814 0.454125732277743 6 233.02095
7 daily#2020-10-31 00:00:00,2020-10-31 23:59:59 daily 2020-10-31 00:00:00 2020-10-31 23:59:59 2 70.9154833333333 0.0607260020848825 0.0769243589957268 2 83.9986
8 daily#2020-11-01 00:00:00,2020-11-01 23:59:59 daily 2020-11-01 00:00:00 2020-11-01 23:59:59 1 43.9992666666667 0.0454553030429295 0.0454553030429295 1 16.9997166666667
9 daily#2020-11-02 00:00:00,2020-11-02 23:59:59 daily 2020-11-02 00:00:00 2020-11-02 23:59:59 1 41.9993 0.047619841283069 0.047619841283069 1 41.9993
10 morning#2020-03-06 06:00:00,2020-03-06 11:59:59 morning 2020-03-06 06:00:00 2020-03-06 11:59:59 2 75.56395 0.065515964597609 0.0731286084397727 2 42.61665
11 morning#2020-03-09 06:00:00,2020-03-09 11:59:59 morning 2020-03-09 06:00:00 2020-03-09 11:59:59 0 0 0 0 1 41.9993
12 morning#2020-10-30 06:00:00,2020-10-30 11:59:59 morning 2020-10-30 06:00:00 2020-10-30 11:59:59 2 75.56395 0.065515964597609 0.0731286084397727 2 42.61665
13 morning#2020-11-02 06:00:00,2020-11-02 11:59:59 morning 2020-11-02 06:00:00 2020-11-02 11:59:59 0 0 0 0 1 41.9993
14 threeday#2020-03-06 00:00:00,2020-03-08 23:59:59 threeday 2020-03-06 00:00:00 2020-03-08 23:59:59 10 352.964433333333 0.0881645773996147 0.301282459000479 9 334.019266666667
15 threeday#2020-03-07 00:00:00,2020-03-09 23:59:59 threeday 2020-03-07 00:00:00 2020-03-09 23:59:59 4 156.91405 0.0536317871239409 0.0769243589957268 4 142.997616666667
16 threeday#2020-03-08 00:00:00,2020-03-10 23:59:59 threeday 2020-03-08 00:00:00 2020-03-10 23:59:59 2 85.9985666666666 0.0465375721629993 0.047619841283069 2 58.9990166666667
17 threeday#2020-03-09 00:00:00,2020-03-11 23:59:59 threeday 2020-03-09 00:00:00 2020-03-11 23:59:59 1 41.9993 0.047619841283069 0.047619841283069 1 41.9993
18 threeday#2020-10-28 00:00:00,2020-10-30 23:59:59 threeday 2020-10-28 00:00:00 2020-10-30 23:59:59 7 209.252233333333 0.162372228128814 0.454125732277743 6 233.02095
19 threeday#2020-10-29 00:00:00,2020-10-31 23:59:59 threeday 2020-10-29 00:00:00 2020-10-31 23:59:59 9 308.965166666667 0.0929100523281352 0.301282459000479 8 317.01955
20 threeday#2020-10-30 00:00:00,2020-11-01 23:59:59 threeday 2020-10-30 00:00:00 2020-11-01 23:59:59 10 352.964433333333 0.0881645773996147 0.301282459000479 9 334.019266666667
21 threeday#2020-10-31 00:00:00,2020-11-02 23:59:59 threeday 2020-10-31 00:00:00 2020-11-02 23:59:59 4 156.91405 0.0536317871239409 0.0769243589957268 4 142.997616666667
22 threeday#2020-11-01 00:00:00,2020-11-03 23:59:59 threeday 2020-11-01 00:00:00 2020-11-03 23:59:59 2 85.9985666666666 0.0465375721629993 0.047619841283069 2 58.9990166666667
23 threeday#2020-11-02 00:00:00,2020-11-04 23:59:59 threeday 2020-11-02 00:00:00 2020-11-04 23:59:59 1 41.9993 0.047619841283069 0.047619841283069 1 41.9993
24 weekend#2020-03-06 00:00:00,2020-03-08 23:59:59 weekend 2020-03-06 00:00:00 2020-03-08 23:59:59 10 352.964433333333 0.0881645773996147 0.301282459000479 9 334.019266666667
25 weekend#2020-10-30 00:00:00,2020-11-01 23:59:59 weekend 2020-10-30 00:00:00 2020-11-01 23:59:59 10 352.964433333333 0.0881645773996147 0.301282459000479 9 334.019266666667

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@ -9,11 +9,11 @@
"daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",3,3,198,1008,0,3,3,514,1542,427,623,99.8348636499294,427,1.08686617450757,278,1166,0,3,3,423.666666666667,1271,32,1104,591.432441901299,135,0.454005239398052,268,1075,0 "daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",3,3,198,1008,0,3,3,514,1542,427,623,99.8348636499294,427,1.08686617450757,278,1166,0,3,3,423.666666666667,1271,32,1104,591.432441901299,135,0.454005239398052,268,1075,0
"morning#2020-03-06 06:00:00,2020-03-06 11:59:59","morning","2020-03-06 06:00:00","2020-03-06 11:59:59",1,1,589,589,1,2,2,983,1966,667,1299,446.891485709898,667,0.640802774623272,519,600,1,3,3,978.333333333333,2935,759,1116,192.000868053593,1116,1.08558305836162,418,687,1 "morning#2020-03-06 06:00:00,2020-03-06 11:59:59","morning","2020-03-06 06:00:00","2020-03-06 11:59:59",1,1,589,589,1,2,2,983,1966,667,1299,446.891485709898,667,0.640802774623272,519,600,1,3,3,978.333333333333,2935,759,1116,192.000868053593,1116,1.08558305836162,418,687,1
"morning#2020-03-07 06:00:00,2020-03-07 11:59:59","morning","2020-03-07 06:00:00","2020-03-07 11:59:59",1,1,589,589,1,2,2,983,1966,667,1299,446.891485709898,667,0.640802774623272,519,600,1,3,3,684.999666666667,2054.999,179.999,1116,472.367976264621,1116,0.913208762164393,418,687,1 "morning#2020-03-07 06:00:00,2020-03-07 11:59:59","morning","2020-03-07 06:00:00","2020-03-07 11:59:59",1,1,589,589,1,2,2,983,1966,667,1299,446.891485709898,667,0.640802774623272,519,600,1,3,3,684.999666666667,2054.999,179.999,1116,472.367976264621,1116,0.913208762164393,418,687,1
"morning#2020-03-08 06:00:00,2020-03-08 11:59:59","morning","2020-03-08 06:00:00","2020-03-08 11:59:59",1,1,528,528,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "morning#2020-03-08 06:00:00,2020-03-08 11:59:59","morning","2020-03-08 06:00:00","2020-03-08 11:59:59",1,1,528,528,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"morning#2020-03-09 06:00:00,2020-03-09 11:59:59","morning","2020-03-09 06:00:00","2020-03-09 11:59:59",1,1,541,541,0,1,1,623,623,623,623,NA,623,0,692,692,0,1,1,1104,1104,1104,1104,NA,1104,0,558,558,0 "morning#2020-03-09 06:00:00,2020-03-09 11:59:59","morning","2020-03-09 06:00:00","2020-03-09 11:59:59",1,1,541,541,0,1,1,623,623,623,623,NA,623,0,692,692,0,1,1,1104,1104,1104,1104,NA,1104,0,558,558,0
"morning#2020-10-30 06:00:00,2020-10-30 11:59:59","morning","2020-10-30 06:00:00","2020-10-30 11:59:59",1,1,589,589,1,2,2,983,1966,667,1299,446.891485709898,667,0.640802774623272,519,600,1,3,3,978.333333333333,2935,759,1116,192.000868053593,1116,1.08558305836162,418,687,1 "morning#2020-10-30 06:00:00,2020-10-30 11:59:59","morning","2020-10-30 06:00:00","2020-10-30 11:59:59",1,1,589,589,1,2,2,983,1966,667,1299,446.891485709898,667,0.640802774623272,519,600,1,3,3,978.333333333333,2935,759,1116,192.000868053593,1116,1.08558305836162,418,687,1
"morning#2020-10-31 06:00:00,2020-10-31 11:59:59","morning","2020-10-31 06:00:00","2020-10-31 11:59:59",1,1,589,589,1,2,2,983,1966,667,1299,446.891485709898,667,0.640802774623272,519,600,1,3,3,684.999666666667,2054.999,179.999,1116,472.367976264621,1116,0.913208762164393,418,687,1 "morning#2020-10-31 06:00:00,2020-10-31 11:59:59","morning","2020-10-31 06:00:00","2020-10-31 11:59:59",1,1,589,589,1,2,2,983,1966,667,1299,446.891485709898,667,0.640802774623272,519,600,1,3,3,684.999666666667,2054.999,179.999,1116,472.367976264621,1116,0.913208762164393,418,687,1
"morning#2020-11-01 06:00:00,2020-11-01 11:59:59","morning","2020-11-01 06:00:00","2020-11-01 11:59:59",1,1,528,528,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "morning#2020-11-01 06:00:00,2020-11-01 11:59:59","morning","2020-11-01 06:00:00","2020-11-01 11:59:59",1,1,528,528,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"morning#2020-11-02 06:00:00,2020-11-02 11:59:59","morning","2020-11-02 06:00:00","2020-11-02 11:59:59",1,1,541,541,0,1,1,623,623,623,623,NA,623,0,692,692,0,1,1,1104,1104,1104,1104,NA,1104,0,558,558,0 "morning#2020-11-02 06:00:00,2020-11-02 11:59:59","morning","2020-11-02 06:00:00","2020-11-02 11:59:59",1,1,541,541,0,1,1,623,623,623,623,NA,623,0,692,692,0,1,1,1104,1104,1104,1104,NA,1104,0,558,558,0
"threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",11,6,13,528,5,19,10,930.052631578947,17671,128,1719,474.59099041926,667,2.8055376905242,163,237,6,16,9,949.9374375,15198.999,32,1543,486.635008836256,1116,2.61330135085142,172,1282,4 "threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",11,6,13,528,5,19,10,930.052631578947,17671,128,1719,474.59099041926,667,2.8055376905242,163,237,6,16,9,949.9374375,15198.999,32,1543,486.635008836256,1116,2.61330135085142,172,1282,4
"threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",8,8,589,528,1,12,12,787.416666666667,9449,128,1719,465.213628021546,667,2.32196679578331,519,237,1,11,11,647.818090909091,7125.999,32,1543,570.769005115109,32,2.00189616665475,418,1282,1 "threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",8,8,589,528,1,12,12,787.416666666667,9449,128,1719,465.213628021546,667,2.32196679578331,519,237,1,11,11,647.818090909091,7125.999,32,1543,570.769005115109,32,2.00189616665475,418,1282,1

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_calls_rapids_missed_count phone_calls_rapids_missed_distinctcontacts phone_calls_rapids_missed_timefirstcall phone_calls_rapids_missed_timelastcall phone_calls_rapids_missed_countmostfrequentcontact phone_calls_rapids_incoming_count phone_calls_rapids_incoming_distinctcontacts phone_calls_rapids_incoming_meanduration phone_calls_rapids_incoming_sumduration phone_calls_rapids_incoming_minduration phone_calls_rapids_incoming_maxduration phone_calls_rapids_incoming_stdduration phone_calls_rapids_incoming_modeduration phone_calls_rapids_incoming_entropyduration phone_calls_rapids_incoming_timefirstcall phone_calls_rapids_incoming_timelastcall phone_calls_rapids_incoming_countmostfrequentcontact phone_calls_rapids_outgoing_count phone_calls_rapids_outgoing_distinctcontacts phone_calls_rapids_outgoing_meanduration phone_calls_rapids_outgoing_sumduration phone_calls_rapids_outgoing_minduration phone_calls_rapids_outgoing_maxduration phone_calls_rapids_outgoing_stdduration phone_calls_rapids_outgoing_modeduration phone_calls_rapids_outgoing_entropyduration phone_calls_rapids_outgoing_timefirstcall phone_calls_rapids_outgoing_timelastcall phone_calls_rapids_outgoing_countmostfrequentcontact
9 daily#2020-11-02 00:00:00,2020-11-02 23:59:59 daily 2020-11-02 00:00:00 2020-11-02 23:59:59 3 3 198 1008 0 3 3 514 1542 427 623 99.8348636499294 427 1.08686617450757 278 1166 0 3 3 423.666666666667 1271 32 1104 591.432441901299 135 0.454005239398052 268 1075 0
10 morning#2020-03-06 06:00:00,2020-03-06 11:59:59 morning 2020-03-06 06:00:00 2020-03-06 11:59:59 1 1 589 589 1 2 2 983 1966 667 1299 446.891485709898 667 0.640802774623272 519 600 1 3 3 978.333333333333 2935 759 1116 192.000868053593 1116 1.08558305836162 418 687 1
11 morning#2020-03-07 06:00:00,2020-03-07 11:59:59 morning 2020-03-07 06:00:00 2020-03-07 11:59:59 1 1 589 589 1 2 2 983 1966 667 1299 446.891485709898 667 0.640802774623272 519 600 1 3 3 684.999666666667 2054.999 179.999 1116 472.367976264621 1116 0.913208762164393 418 687 1
12 morning#2020-03-08 06:00:00,2020-03-08 11:59:59 morning 2020-03-08 06:00:00 2020-03-08 11:59:59 1 1 528 528 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
13 morning#2020-03-09 06:00:00,2020-03-09 11:59:59 morning 2020-03-09 06:00:00 2020-03-09 11:59:59 1 1 541 541 0 1 1 623 623 623 623 NA 623 0 692 692 0 1 1 1104 1104 1104 1104 NA 1104 0 558 558 0
14 morning#2020-10-30 06:00:00,2020-10-30 11:59:59 morning 2020-10-30 06:00:00 2020-10-30 11:59:59 1 1 589 589 1 2 2 983 1966 667 1299 446.891485709898 667 0.640802774623272 519 600 1 3 3 978.333333333333 2935 759 1116 192.000868053593 1116 1.08558305836162 418 687 1
15 morning#2020-10-31 06:00:00,2020-10-31 11:59:59 morning 2020-10-31 06:00:00 2020-10-31 11:59:59 1 1 589 589 1 2 2 983 1966 667 1299 446.891485709898 667 0.640802774623272 519 600 1 3 3 684.999666666667 2054.999 179.999 1116 472.367976264621 1116 0.913208762164393 418 687 1
16 morning#2020-11-01 06:00:00,2020-11-01 11:59:59 morning 2020-11-01 06:00:00 2020-11-01 11:59:59 1 1 528 528 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
17 morning#2020-11-02 06:00:00,2020-11-02 11:59:59 morning 2020-11-02 06:00:00 2020-11-02 11:59:59 1 1 541 541 0 1 1 623 623 623 623 NA 623 0 692 692 0 1 1 1104 1104 1104 1104 NA 1104 0 558 558 0
18 threeday#2020-03-06 00:00:00,2020-03-08 23:59:59 threeday 2020-03-06 00:00:00 2020-03-08 23:59:59 11 6 13 528 5 19 10 930.052631578947 17671 128 1719 474.59099041926 667 2.8055376905242 163 237 6 16 9 949.9374375 15198.999 32 1543 486.635008836256 1116 2.61330135085142 172 1282 4
19 threeday#2020-03-07 00:00:00,2020-03-09 23:59:59 threeday 2020-03-07 00:00:00 2020-03-09 23:59:59 8 8 589 528 1 12 12 787.416666666667 9449 128 1719 465.213628021546 667 2.32196679578331 519 237 1 11 11 647.818090909091 7125.999 32 1543 570.769005115109 32 2.00189616665475 418 1282 1

View File

@ -1,25 +1,25 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_keyboard_rapids_sessioncount","phone_keyboard_rapids_averagesessionlength","phone_keyboard_rapids_averageinterkeydelay","phone_keyboard_rapids_changeintextlengthlessthanminusone","phone_keyboard_rapids_changeintextlengthequaltominusone","phone_keyboard_rapids_changeintextlengthequaltoone","phone_keyboard_rapids_changeintextlengthmorethanone","phone_keyboard_rapids_maxtextlength","phone_keyboard_rapids_lastmessagelength","phone_keyboard_rapids_totalkeyboardtouches" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_keyboard_rapids_sessioncount","phone_keyboard_rapids_averagesessionlength","phone_keyboard_rapids_averageinterkeydelay","phone_keyboard_rapids_changeintextlengthlessthanminusone","phone_keyboard_rapids_changeintextlengthequaltominusone","phone_keyboard_rapids_changeintextlengthequaltoone","phone_keyboard_rapids_changeintextlengthmorethanone","phone_keyboard_rapids_maxtextlength","phone_keyboard_rapids_lastmessagelength","phone_keyboard_rapids_totalkeyboardtouches"
"daily#2020-03-06 00:00:00,2020-03-06 23:59:59","daily","2020-03-06 00:00:00","2020-03-06 23:59:59",3,4000,1583.33333333333,0,0,4,0,21,21,2.5 "daily#2020-03-06 00:00:00,2020-03-06 23:59:59","daily","2020-03-06 00:00:00","2020-03-06 23:59:59",3,4000,1583.33333333333,NA,NA,4,NA,21,21,2.5
"daily#2020-03-07 00:00:00,2020-03-07 23:59:59","daily","2020-03-07 00:00:00","2020-03-07 23:59:59",4,1506.66666666667,1006.66666666667,0,0,4,0,5.75,5,2.75 "daily#2020-03-07 00:00:00,2020-03-07 23:59:59","daily","2020-03-07 00:00:00","2020-03-07 23:59:59",4,1506.66666666667,1006.66666666667,NA,NA,4,NA,5.75,5,2.75
"daily#2020-03-08 00:00:00,2020-03-08 23:59:59","daily","2020-03-08 00:00:00","2020-03-08 23:59:59",6,6519.5,863.277777777778,0,1,4,1,4.16666666666667,3.4,3.5 "daily#2020-03-08 00:00:00,2020-03-08 23:59:59","daily","2020-03-08 00:00:00","2020-03-08 23:59:59",6,6519.5,863.277777777778,NA,1,4,1,4.16666666666667,3.4,3.5
"daily#2020-03-09 00:00:00,2020-03-09 23:59:59","daily","2020-03-09 00:00:00","2020-03-09 23:59:59",3,1000,1000,0,0,4,0,5.5,5,1 "daily#2020-03-09 00:00:00,2020-03-09 23:59:59","daily","2020-03-09 00:00:00","2020-03-09 23:59:59",3,1000,1000,NA,NA,4,NA,5.5,5,1
"daily#2020-10-30 00:00:00,2020-10-30 23:59:59","daily","2020-10-30 00:00:00","2020-10-30 23:59:59",3,4000,1583.33333333333,0,0,4,0,21,21,2.5 "daily#2020-10-30 00:00:00,2020-10-30 23:59:59","daily","2020-10-30 00:00:00","2020-10-30 23:59:59",3,4000,1583.33333333333,NA,NA,4,NA,21,21,2.5
"daily#2020-10-31 00:00:00,2020-10-31 23:59:59","daily","2020-10-31 00:00:00","2020-10-31 23:59:59",4,1506.66666666667,1006.66666666667,0,0,4,0,5.75,5,2.75 "daily#2020-10-31 00:00:00,2020-10-31 23:59:59","daily","2020-10-31 00:00:00","2020-10-31 23:59:59",4,1506.66666666667,1006.66666666667,NA,NA,4,NA,5.75,5,2.75
"daily#2020-11-01 00:00:00,2020-11-01 23:59:59","daily","2020-11-01 00:00:00","2020-11-01 23:59:59",6,6519.5,863.277777777778,0,1,4,1,4.16666666666667,3.4,3.5 "daily#2020-11-01 00:00:00,2020-11-01 23:59:59","daily","2020-11-01 00:00:00","2020-11-01 23:59:59",6,6519.5,863.277777777778,NA,1,4,1,4.16666666666667,3.4,3.5
"daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",2,500,1000,0,0,3,0,5.33333333333333,5.33333333333333,1.33333333333333 "daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",2,500,1000,NA,NA,3,NA,5.33333333333333,5.33333333333333,1.33333333333333
"morning#2020-03-07 06:00:00,2020-03-07 11:59:59","morning","2020-03-07 06:00:00","2020-03-07 11:59:59",3,1840,1117.77777777778,0,0,4,0,5.75,5,2.75 "morning#2020-03-07 06:00:00,2020-03-07 11:59:59","morning","2020-03-07 06:00:00","2020-03-07 11:59:59",3,1840,1117.77777777778,NA,NA,4,NA,5.75,5,2.75
"morning#2020-03-08 06:00:00,2020-03-08 11:59:59","morning","2020-03-08 06:00:00","2020-03-08 11:59:59",1,0,NA,0,0,1,0,2,2,1 "morning#2020-03-08 06:00:00,2020-03-08 11:59:59","morning","2020-03-08 06:00:00","2020-03-08 11:59:59",1,NA,NA,NA,NA,1,NA,2,2,1
"morning#2020-10-31 06:00:00,2020-10-31 11:59:59","morning","2020-10-31 06:00:00","2020-10-31 11:59:59",4,1506.66666666667,1006.66666666667,0,0,4,0,5.75,5,2.75 "morning#2020-10-31 06:00:00,2020-10-31 11:59:59","morning","2020-10-31 06:00:00","2020-10-31 11:59:59",4,1506.66666666667,1006.66666666667,NA,NA,4,NA,5.75,5,2.75
"morning#2020-11-01 06:00:00,2020-11-01 11:59:59","morning","2020-11-01 06:00:00","2020-11-01 11:59:59",1,0,NA,0,0,1,0,2,2,1 "morning#2020-11-01 06:00:00,2020-11-01 11:59:59","morning","2020-11-01 06:00:00","2020-11-01 11:59:59",1,NA,NA,NA,NA,1,NA,2,2,1
"threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",13,3694.875,1187.06944444444,0,1,12,1,9.42857142857143,9.30769230769231,3 "threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",13,3694.875,1187.06944444444,NA,1,12,1,9.42857142857143,9.30769230769231,3
"threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",12,3259.83333333333,1013.31481481481,0,1,11,1,5.15384615384615,4.33333333333333,2.76923076923077 "threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",12,3259.83333333333,1013.31481481481,NA,1,11,1,5.15384615384615,4.33333333333333,2.76923076923077
"threeday#2020-03-08 00:00:00,2020-03-10 23:59:59","threeday","2020-03-08 00:00:00","2020-03-10 23:59:59",9,4679.66666666667,908.851851851852,0,1,7,1,4.88888888888889,4,2.77777777777778 "threeday#2020-03-08 00:00:00,2020-03-10 23:59:59","threeday","2020-03-08 00:00:00","2020-03-10 23:59:59",9,4679.66666666667,908.851851851852,NA,1,7,1,4.88888888888889,4,2.77777777777778
"threeday#2020-03-09 00:00:00,2020-03-11 23:59:59","threeday","2020-03-09 00:00:00","2020-03-11 23:59:59",3,1000,1000,0,0,4,0,5.5,5,1 "threeday#2020-03-09 00:00:00,2020-03-11 23:59:59","threeday","2020-03-09 00:00:00","2020-03-11 23:59:59",3,1000,1000,NA,NA,4,NA,5.5,5,1
"threeday#2020-10-28 00:00:00,2020-10-30 23:59:59","threeday","2020-10-28 00:00:00","2020-10-30 23:59:59",3,4000,1583.33333333333,0,0,4,0,21,21,2.5 "threeday#2020-10-28 00:00:00,2020-10-30 23:59:59","threeday","2020-10-28 00:00:00","2020-10-30 23:59:59",3,4000,1583.33333333333,NA,NA,4,NA,21,21,2.5
"threeday#2020-10-29 00:00:00,2020-10-31 23:59:59","threeday","2020-10-29 00:00:00","2020-10-31 23:59:59",7,2753.33333333333,1295,0,0,8,0,13.375,13,2.625 "threeday#2020-10-29 00:00:00,2020-10-31 23:59:59","threeday","2020-10-29 00:00:00","2020-10-31 23:59:59",7,2753.33333333333,1295,NA,NA,8,NA,13.375,13,2.625
"threeday#2020-10-30 00:00:00,2020-11-01 23:59:59","threeday","2020-10-30 00:00:00","2020-11-01 23:59:59",13,3694.875,1187.06944444444,0,1,12,1,9.42857142857143,9.30769230769231,3 "threeday#2020-10-30 00:00:00,2020-11-01 23:59:59","threeday","2020-10-30 00:00:00","2020-11-01 23:59:59",13,3694.875,1187.06944444444,NA,1,12,1,9.42857142857143,9.30769230769231,3
"threeday#2020-10-31 00:00:00,2020-11-02 23:59:59","threeday","2020-10-31 00:00:00","2020-11-02 23:59:59",12,2651.28571428571,957.759259259259,0,1,10,1,5.08333333333333,4.41666666666667,3 "threeday#2020-10-31 00:00:00,2020-11-02 23:59:59","threeday","2020-10-31 00:00:00","2020-11-02 23:59:59",12,2651.28571428571,957.759259259259,NA,1,10,1,5.08333333333333,4.41666666666667,3
"threeday#2020-11-01 00:00:00,2020-11-03 23:59:59","threeday","2020-11-01 00:00:00","2020-11-03 23:59:59",8,3509.75,908.851851851852,0,1,6,1,4.75,4.125,3.125 "threeday#2020-11-01 00:00:00,2020-11-03 23:59:59","threeday","2020-11-01 00:00:00","2020-11-03 23:59:59",8,3509.75,908.851851851852,NA,1,6,1,4.75,4.125,3.125
"threeday#2020-11-02 00:00:00,2020-11-04 23:59:59","threeday","2020-11-02 00:00:00","2020-11-04 23:59:59",2,500,1000,0,0,3,0,5.33333333333333,5.33333333333333,1.33333333333333 "threeday#2020-11-02 00:00:00,2020-11-04 23:59:59","threeday","2020-11-02 00:00:00","2020-11-04 23:59:59",2,500,1000,NA,NA,3,NA,5.33333333333333,5.33333333333333,1.33333333333333
"weekend#2020-03-06 00:00:00,2020-03-08 23:59:59","weekend","2020-03-06 00:00:00","2020-03-08 23:59:59",13,3694.875,1187.06944444444,0,1,12,1,9.42857142857143,9.30769230769231,3 "weekend#2020-03-06 00:00:00,2020-03-08 23:59:59","weekend","2020-03-06 00:00:00","2020-03-08 23:59:59",13,3694.875,1187.06944444444,NA,1,12,1,9.42857142857143,9.30769230769231,3
"weekend#2020-10-30 00:00:00,2020-11-01 23:59:59","weekend","2020-10-30 00:00:00","2020-11-01 23:59:59",12,3284.33333333333,1187.06944444444,0,1,12,1,9.92307692307692,9.30769230769231,3.23076923076923 "weekend#2020-10-30 00:00:00,2020-11-01 23:59:59","weekend","2020-10-30 00:00:00","2020-11-01 23:59:59",12,3284.33333333333,1187.06944444444,NA,1,12,1,9.92307692307692,9.30769230769231,3.23076923076923

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_keyboard_rapids_sessioncount phone_keyboard_rapids_averagesessionlength phone_keyboard_rapids_averageinterkeydelay phone_keyboard_rapids_changeintextlengthlessthanminusone phone_keyboard_rapids_changeintextlengthequaltominusone phone_keyboard_rapids_changeintextlengthequaltoone phone_keyboard_rapids_changeintextlengthmorethanone phone_keyboard_rapids_maxtextlength phone_keyboard_rapids_lastmessagelength phone_keyboard_rapids_totalkeyboardtouches
2 daily#2020-03-06 00:00:00,2020-03-06 23:59:59 daily 2020-03-06 00:00:00 2020-03-06 23:59:59 3 4000 1583.33333333333 0 NA 0 NA 4 0 NA 21 21 2.5
3 daily#2020-03-07 00:00:00,2020-03-07 23:59:59 daily 2020-03-07 00:00:00 2020-03-07 23:59:59 4 1506.66666666667 1006.66666666667 0 NA 0 NA 4 0 NA 5.75 5 2.75
4 daily#2020-03-08 00:00:00,2020-03-08 23:59:59 daily 2020-03-08 00:00:00 2020-03-08 23:59:59 6 6519.5 863.277777777778 0 NA 1 4 1 4.16666666666667 3.4 3.5
5 daily#2020-03-09 00:00:00,2020-03-09 23:59:59 daily 2020-03-09 00:00:00 2020-03-09 23:59:59 3 1000 1000 0 NA 0 NA 4 0 NA 5.5 5 1
6 daily#2020-10-30 00:00:00,2020-10-30 23:59:59 daily 2020-10-30 00:00:00 2020-10-30 23:59:59 3 4000 1583.33333333333 0 NA 0 NA 4 0 NA 21 21 2.5
7 daily#2020-10-31 00:00:00,2020-10-31 23:59:59 daily 2020-10-31 00:00:00 2020-10-31 23:59:59 4 1506.66666666667 1006.66666666667 0 NA 0 NA 4 0 NA 5.75 5 2.75
8 daily#2020-11-01 00:00:00,2020-11-01 23:59:59 daily 2020-11-01 00:00:00 2020-11-01 23:59:59 6 6519.5 863.277777777778 0 NA 1 4 1 4.16666666666667 3.4 3.5
9 daily#2020-11-02 00:00:00,2020-11-02 23:59:59 daily 2020-11-02 00:00:00 2020-11-02 23:59:59 2 500 1000 0 NA 0 NA 3 0 NA 5.33333333333333 5.33333333333333 1.33333333333333
10 morning#2020-03-07 06:00:00,2020-03-07 11:59:59 morning 2020-03-07 06:00:00 2020-03-07 11:59:59 3 1840 1117.77777777778 0 NA 0 NA 4 0 NA 5.75 5 2.75
11 morning#2020-03-08 06:00:00,2020-03-08 11:59:59 morning 2020-03-08 06:00:00 2020-03-08 11:59:59 1 0 NA NA 0 NA 0 NA 1 0 NA 2 2 1
12 morning#2020-10-31 06:00:00,2020-10-31 11:59:59 morning 2020-10-31 06:00:00 2020-10-31 11:59:59 4 1506.66666666667 1006.66666666667 0 NA 0 NA 4 0 NA 5.75 5 2.75
13 morning#2020-11-01 06:00:00,2020-11-01 11:59:59 morning 2020-11-01 06:00:00 2020-11-01 11:59:59 1 0 NA NA 0 NA 0 NA 1 0 NA 2 2 1
14 threeday#2020-03-06 00:00:00,2020-03-08 23:59:59 threeday 2020-03-06 00:00:00 2020-03-08 23:59:59 13 3694.875 1187.06944444444 0 NA 1 12 1 9.42857142857143 9.30769230769231 3
15 threeday#2020-03-07 00:00:00,2020-03-09 23:59:59 threeday 2020-03-07 00:00:00 2020-03-09 23:59:59 12 3259.83333333333 1013.31481481481 0 NA 1 11 1 5.15384615384615 4.33333333333333 2.76923076923077
16 threeday#2020-03-08 00:00:00,2020-03-10 23:59:59 threeday 2020-03-08 00:00:00 2020-03-10 23:59:59 9 4679.66666666667 908.851851851852 0 NA 1 7 1 4.88888888888889 4 2.77777777777778
17 threeday#2020-03-09 00:00:00,2020-03-11 23:59:59 threeday 2020-03-09 00:00:00 2020-03-11 23:59:59 3 1000 1000 0 NA 0 NA 4 0 NA 5.5 5 1
18 threeday#2020-10-28 00:00:00,2020-10-30 23:59:59 threeday 2020-10-28 00:00:00 2020-10-30 23:59:59 3 4000 1583.33333333333 0 NA 0 NA 4 0 NA 21 21 2.5
19 threeday#2020-10-29 00:00:00,2020-10-31 23:59:59 threeday 2020-10-29 00:00:00 2020-10-31 23:59:59 7 2753.33333333333 1295 0 NA 0 NA 8 0 NA 13.375 13 2.625
20 threeday#2020-10-30 00:00:00,2020-11-01 23:59:59 threeday 2020-10-30 00:00:00 2020-11-01 23:59:59 13 3694.875 1187.06944444444 0 NA 1 12 1 9.42857142857143 9.30769230769231 3
21 threeday#2020-10-31 00:00:00,2020-11-02 23:59:59 threeday 2020-10-31 00:00:00 2020-11-02 23:59:59 12 2651.28571428571 957.759259259259 0 NA 1 10 1 5.08333333333333 4.41666666666667 3
22 threeday#2020-11-01 00:00:00,2020-11-03 23:59:59 threeday 2020-11-01 00:00:00 2020-11-03 23:59:59 8 3509.75 908.851851851852 0 NA 1 6 1 4.75 4.125 3.125
23 threeday#2020-11-02 00:00:00,2020-11-04 23:59:59 threeday 2020-11-02 00:00:00 2020-11-04 23:59:59 2 500 1000 0 NA 0 NA 3 0 NA 5.33333333333333 5.33333333333333 1.33333333333333
24 weekend#2020-03-06 00:00:00,2020-03-08 23:59:59 weekend 2020-03-06 00:00:00 2020-03-08 23:59:59 13 3694.875 1187.06944444444 0 NA 1 12 1 9.42857142857143 9.30769230769231 3
25 weekend#2020-10-30 00:00:00,2020-11-01 23:59:59 weekend 2020-10-30 00:00:00 2020-11-01 23:59:59 12 3284.33333333333 1187.06944444444 0 NA 1 12 1 9.92307692307692 9.30769230769231 3.23076923076923

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@ -1 +1 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_mindurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_sumdurationactivebout

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@ -1 +0,0 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_countcharge","phone_battery_rapids_sumdurationcharge","phone_battery_rapids_sumdurationdischarge","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_countdischarge","phone_battery_rapids_maxconsumptionrate"
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_countcharge phone_battery_rapids_sumdurationcharge phone_battery_rapids_sumdurationdischarge phone_battery_rapids_avgconsumptionrate phone_battery_rapids_countdischarge phone_battery_rapids_maxconsumptionrate

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@ -1 +1 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_mindurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_sumdurationactivebout

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@ -1 +0,0 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_countcharge","phone_battery_rapids_sumdurationcharge","phone_battery_rapids_sumdurationdischarge","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_countdischarge","phone_battery_rapids_maxconsumptionrate"
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_countcharge phone_battery_rapids_sumdurationcharge phone_battery_rapids_sumdurationdischarge phone_battery_rapids_avgconsumptionrate phone_battery_rapids_countdischarge phone_battery_rapids_maxconsumptionrate

View File

@ -1,27 +1,27 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout"
"daily#2020-03-06 00:00:00,2020-03-06 23:59:59","daily","2020-03-06 00:00:00","2020-03-06 23:59:59",251,63,1,11.4090909090909,13.9784156432732,358,1081,4,16,6,2,4,1.63299316185545,3,6,2,2,2,0 "daily#2020-03-06 00:00:00,2020-03-06 23:59:59","daily","2020-03-06 00:00:00","2020-03-06 23:59:59",251,63,1,11.4090909090909,13.9784156432732,4,16,6,2,4,1.63299316185545,3,6,2,2,2,0
"daily#2020-03-07 00:00:00,2020-03-07 23:59:59","daily","2020-03-07 00:00:00","2020-03-07 23:59:59",527,72,2,23.9545454545455,22.5081514815607,538,1203,5,9,2,1,1.8,0.447213595499958,4,13,4,3,3.25,0.5 "daily#2020-03-07 00:00:00,2020-03-07 23:59:59","daily","2020-03-07 00:00:00","2020-03-07 23:59:59",527,72,2,23.9545454545455,22.5081514815607,5,9,2,1,1.8,0.447213595499958,4,13,4,3,3.25,0.5
"daily#2020-03-08 00:00:00,2020-03-08 23:59:59","daily","2020-03-08 00:00:00","2020-03-08 23:59:59",307,69,4,20.4666666666667,21.2934150339847,19,1045,4,8,4,1,2,1.4142135623731,4,7,3,1,1.75,0.957427107756338 "daily#2020-03-08 00:00:00,2020-03-08 23:59:59","daily","2020-03-08 00:00:00","2020-03-08 23:59:59",307,69,4,20.4666666666667,21.2934150339847,4,8,4,1,2,1.4142135623731,4,7,3,1,1.75,0.957427107756338
"daily#2020-03-09 00:00:00,2020-03-09 23:59:59","daily","2020-03-09 00:00:00","2020-03-09 23:59:59",126,62,6,25.2,26.5273443827308,78,891,1,3,3,3,3,NA,1,2,2,2,2,NA "daily#2020-03-09 00:00:00,2020-03-09 23:59:59","daily","2020-03-09 00:00:00","2020-03-09 23:59:59",126,62,6,25.2,26.5273443827308,1,3,3,3,3,NA,1,2,2,2,2,NA
"daily#2020-10-30 00:00:00,2020-10-30 23:59:59","daily","2020-10-30 00:00:00","2020-10-30 23:59:59",251,63,1,11.4090909090909,13.9784156432732,358,1081,4,16,6,2,4,1.63299316185545,3,6,2,2,2,0 "daily#2020-10-30 00:00:00,2020-10-30 23:59:59","daily","2020-10-30 00:00:00","2020-10-30 23:59:59",251,63,1,11.4090909090909,13.9784156432732,4,16,6,2,4,1.63299316185545,3,6,2,2,2,0
"daily#2020-10-31 00:00:00,2020-10-31 23:59:59","daily","2020-10-31 00:00:00","2020-10-31 23:59:59",527,72,2,23.9545454545455,22.5081514815607,538,1203,5,9,2,1,1.8,0.447213595499958,4,13,4,3,3.25,0.5 "daily#2020-10-31 00:00:00,2020-10-31 23:59:59","daily","2020-10-31 00:00:00","2020-10-31 23:59:59",527,72,2,23.9545454545455,22.5081514815607,5,9,2,1,1.8,0.447213595499958,4,13,4,3,3.25,0.5
"daily#2020-11-01 00:00:00,2020-11-01 23:59:59","daily","2020-11-01 00:00:00","2020-11-01 23:59:59",307,69,4,20.4666666666667,21.2934150339847,19,1045,4,8,4,1,2,1.4142135623731,4,7,3,1,1.75,0.957427107756338 "daily#2020-11-01 00:00:00,2020-11-01 23:59:59","daily","2020-11-01 00:00:00","2020-11-01 23:59:59",307,69,4,20.4666666666667,21.2934150339847,4,8,4,1,2,1.4142135623731,4,7,3,1,1.75,0.957427107756338
"daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",126,62,6,25.2,26.5273443827308,78,891,1,3,3,3,3,NA,1,2,2,2,2,NA "daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",126,62,6,25.2,26.5273443827308,1,3,3,3,3,NA,1,2,2,2,2,NA
"morning#2020-03-06 06:00:00,2020-03-06 11:59:59","morning","2020-03-06 06:00:00","2020-03-06 11:59:59",172,63,3,15.6363636363636,18.0846494424013,360,719,3,7,3,2,2.33333333333333,0.577350269189626,2,4,2,2,2,0 "morning#2020-03-06 06:00:00,2020-03-06 11:59:59","morning","2020-03-06 06:00:00","2020-03-06 11:59:59",172,63,3,15.6363636363636,18.0846494424013,3,7,3,2,2.33333333333333,0.577350269189626,2,4,2,2,2,0
"morning#2020-03-07 06:00:00,2020-03-07 11:59:59","morning","2020-03-07 06:00:00","2020-03-07 11:59:59",196,72,6,28,27.6164202362773,538,708,2,3,2,1,1.5,0.707106781186548,1,4,4,4,4,NA "morning#2020-03-07 06:00:00,2020-03-07 11:59:59","morning","2020-03-07 06:00:00","2020-03-07 11:59:59",196,72,6,28,27.6164202362773,2,3,2,1,1.5,0.707106781186548,1,4,4,4,4,NA
"morning#2020-03-08 06:00:00,2020-03-08 11:59:59","morning","2020-03-08 06:00:00","2020-03-08 11:59:59",181,69,7,30.1666666666667,26.7986318058715,540,666,1,2,2,2,2,NA,2,4,2,2,2,0 "morning#2020-03-08 06:00:00,2020-03-08 11:59:59","morning","2020-03-08 06:00:00","2020-03-08 11:59:59",181,69,7,30.1666666666667,26.7986318058715,1,2,2,2,2,NA,2,4,2,2,2,0
"morning#2020-10-30 06:00:00,2020-10-30 11:59:59","morning","2020-10-30 06:00:00","2020-10-30 11:59:59",172,63,3,15.6363636363636,18.0846494424013,360,719,3,7,3,2,2.33333333333333,0.577350269189626,2,4,2,2,2,0 "morning#2020-10-30 06:00:00,2020-10-30 11:59:59","morning","2020-10-30 06:00:00","2020-10-30 11:59:59",172,63,3,15.6363636363636,18.0846494424013,3,7,3,2,2.33333333333333,0.577350269189626,2,4,2,2,2,0
"morning#2020-10-31 06:00:00,2020-10-31 11:59:59","morning","2020-10-31 06:00:00","2020-10-31 11:59:59",196,72,6,28,27.6164202362773,538,708,2,3,2,1,1.5,0.707106781186548,1,4,4,4,4,NA "morning#2020-10-31 06:00:00,2020-10-31 11:59:59","morning","2020-10-31 06:00:00","2020-10-31 11:59:59",196,72,6,28,27.6164202362773,2,3,2,1,1.5,0.707106781186548,1,4,4,4,4,NA
"morning#2020-11-01 06:00:00,2020-11-01 11:59:59","morning","2020-11-01 06:00:00","2020-11-01 11:59:59",181,69,7,30.1666666666667,26.7986318058715,540,666,1,2,2,2,2,NA,2,4,2,2,2,0 "morning#2020-11-01 06:00:00,2020-11-01 11:59:59","morning","2020-11-01 06:00:00","2020-11-01 11:59:59",181,69,7,30.1666666666667,26.7986318058715,1,2,2,2,2,NA,2,4,2,2,2,0
"threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",1085,72,1,18.3898305084746,19.8737540916384,358,1045,12,33,6,1,2.75,1.81533868615599,11,26,4,1,2.36363636363636,0.924416277737175 "threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",1085,72,1,18.3898305084746,19.8737540916384,12,33,6,1,2.75,1.81533868615599,11,26,4,1,2.36363636363636,0.924416277737175
"threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",960,72,2,22.8571428571429,22.0537828496404,538,891,10,20,4,1,2,0.942809041582063,9,22,4,1,2.44444444444444,1.0137937550497 "threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",960,72,2,22.8571428571429,22.0537828496404,10,20,4,1,2,0.942809041582063,9,22,4,1,2.44444444444444,1.0137937550497
"threeday#2020-03-08 00:00:00,2020-03-10 23:59:59","threeday","2020-03-08 00:00:00","2020-03-10 23:59:59",433,69,4,21.65,22.0603836393611,19,891,5,11,4,1,2.2,1.30384048104053,5,9,3,1,1.8,0.836660026534076 "threeday#2020-03-08 00:00:00,2020-03-10 23:59:59","threeday","2020-03-08 00:00:00","2020-03-10 23:59:59",433,69,4,21.65,22.0603836393611,5,11,4,1,2.2,1.30384048104053,5,9,3,1,1.8,0.836660026534076
"threeday#2020-03-09 00:00:00,2020-03-11 23:59:59","threeday","2020-03-09 00:00:00","2020-03-11 23:59:59",126,62,6,25.2,26.5273443827308,78,891,1,3,3,3,3,NA,1,2,2,2,2,NA "threeday#2020-03-09 00:00:00,2020-03-11 23:59:59","threeday","2020-03-09 00:00:00","2020-03-11 23:59:59",126,62,6,25.2,26.5273443827308,1,3,3,3,3,NA,1,2,2,2,2,NA
"threeday#2020-10-28 00:00:00,2020-10-30 23:59:59","threeday","2020-10-28 00:00:00","2020-10-30 23:59:59",251,63,1,11.4090909090909,13.9784156432732,358,1081,4,16,6,2,4,1.63299316185545,3,6,2,2,2,0 "threeday#2020-10-28 00:00:00,2020-10-30 23:59:59","threeday","2020-10-28 00:00:00","2020-10-30 23:59:59",251,63,1,11.4090909090909,13.9784156432732,4,16,6,2,4,1.63299316185545,3,6,2,2,2,0
"threeday#2020-10-29 00:00:00,2020-10-31 23:59:59","threeday","2020-10-29 00:00:00","2020-10-31 23:59:59",778,72,1,17.6818181818182,19.5730863239614,358,1203,8,25,6,1,3.125,1.95940953204931,7,19,4,2,2.71428571428571,0.755928946018454 "threeday#2020-10-29 00:00:00,2020-10-31 23:59:59","threeday","2020-10-29 00:00:00","2020-10-31 23:59:59",778,72,1,17.6818181818182,19.5730863239614,8,25,6,1,3.125,1.95940953204931,7,19,4,2,2.71428571428571,0.755928946018454
"threeday#2020-10-30 00:00:00,2020-11-01 23:59:59","threeday","2020-10-30 00:00:00","2020-11-01 23:59:59",1085,72,1,18.3898305084746,19.8737540916384,358,1045,12,33,6,1,2.75,1.81533868615599,11,26,4,1,2.36363636363636,0.924416277737175 "threeday#2020-10-30 00:00:00,2020-11-01 23:59:59","threeday","2020-10-30 00:00:00","2020-11-01 23:59:59",1085,72,1,18.3898305084746,19.8737540916384,12,33,6,1,2.75,1.81533868615599,11,26,4,1,2.36363636363636,0.924416277737175
"threeday#2020-10-31 00:00:00,2020-11-02 23:59:59","threeday","2020-10-31 00:00:00","2020-11-02 23:59:59",960,72,2,22.8571428571429,22.0537828496404,538,891,10,20,4,1,2,0.942809041582063,9,22,4,1,2.44444444444444,1.0137937550497 "threeday#2020-10-31 00:00:00,2020-11-02 23:59:59","threeday","2020-10-31 00:00:00","2020-11-02 23:59:59",960,72,2,22.8571428571429,22.0537828496404,10,20,4,1,2,0.942809041582063,9,22,4,1,2.44444444444444,1.0137937550497
"threeday#2020-11-01 00:00:00,2020-11-03 23:59:59","threeday","2020-11-01 00:00:00","2020-11-03 23:59:59",433,69,4,21.65,22.0603836393611,19,891,5,11,4,1,2.2,1.30384048104053,5,9,3,1,1.8,0.836660026534076 "threeday#2020-11-01 00:00:00,2020-11-03 23:59:59","threeday","2020-11-01 00:00:00","2020-11-03 23:59:59",433,69,4,21.65,22.0603836393611,5,11,4,1,2.2,1.30384048104053,5,9,3,1,1.8,0.836660026534076
"threeday#2020-11-02 00:00:00,2020-11-04 23:59:59","threeday","2020-11-02 00:00:00","2020-11-04 23:59:59",126,62,6,25.2,26.5273443827308,78,891,1,3,3,3,3,NA,1,2,2,2,2,NA "threeday#2020-11-02 00:00:00,2020-11-04 23:59:59","threeday","2020-11-02 00:00:00","2020-11-04 23:59:59",126,62,6,25.2,26.5273443827308,1,3,3,3,3,NA,1,2,2,2,2,NA
"weekend#2020-03-06 00:00:00,2020-03-08 23:59:59","weekend","2020-03-06 00:00:00","2020-03-08 23:59:59",1085,72,1,18.3898305084746,19.8737540916384,358,1045,12,33,6,1,2.75,1.81533868615599,11,26,4,1,2.36363636363636,0.924416277737175 "weekend#2020-03-06 00:00:00,2020-03-08 23:59:59","weekend","2020-03-06 00:00:00","2020-03-08 23:59:59",1085,72,1,18.3898305084746,19.8737540916384,12,33,6,1,2.75,1.81533868615599,11,26,4,1,2.36363636363636,0.924416277737175
"weekend#2020-10-30 00:00:00,2020-11-01 23:59:59","weekend","2020-10-30 00:00:00","2020-11-01 23:59:59",1085,72,1,18.3898305084746,19.8737540916384,358,1045,12,33,6,1,2.75,1.81533868615599,11,26,4,1,2.36363636363636,0.924416277737175 "weekend#2020-10-30 00:00:00,2020-11-01 23:59:59","weekend","2020-10-30 00:00:00","2020-11-01 23:59:59",1085,72,1,18.3898305084746,19.8737540916384,12,33,6,1,2.75,1.81533868615599,11,26,4,1,2.36363636363636,0.924416277737175

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_sumdurationactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout
2 daily#2020-03-06 00:00:00,2020-03-06 23:59:59 daily 2020-03-06 00:00:00 2020-03-06 23:59:59 251 63 1 11.4090909090909 13.9784156432732 358 4 1081 16 6 2 4 1.63299316185545 3 6 2 2 2 0
3 daily#2020-03-07 00:00:00,2020-03-07 23:59:59 daily 2020-03-07 00:00:00 2020-03-07 23:59:59 527 72 2 23.9545454545455 22.5081514815607 538 5 1203 9 2 1 1.8 0.447213595499958 4 13 4 3 3.25 0.5
4 daily#2020-03-08 00:00:00,2020-03-08 23:59:59 daily 2020-03-08 00:00:00 2020-03-08 23:59:59 307 69 4 20.4666666666667 21.2934150339847 19 4 1045 8 4 1 2 1.4142135623731 4 7 3 1 1.75 0.957427107756338
5 daily#2020-03-09 00:00:00,2020-03-09 23:59:59 daily 2020-03-09 00:00:00 2020-03-09 23:59:59 126 62 6 25.2 26.5273443827308 78 1 891 3 3 3 3 NA 1 2 2 2 2 NA
6 daily#2020-10-30 00:00:00,2020-10-30 23:59:59 daily 2020-10-30 00:00:00 2020-10-30 23:59:59 251 63 1 11.4090909090909 13.9784156432732 358 4 1081 16 6 2 4 1.63299316185545 3 6 2 2 2 0
7 daily#2020-10-31 00:00:00,2020-10-31 23:59:59 daily 2020-10-31 00:00:00 2020-10-31 23:59:59 527 72 2 23.9545454545455 22.5081514815607 538 5 1203 9 2 1 1.8 0.447213595499958 4 13 4 3 3.25 0.5
8 daily#2020-11-01 00:00:00,2020-11-01 23:59:59 daily 2020-11-01 00:00:00 2020-11-01 23:59:59 307 69 4 20.4666666666667 21.2934150339847 19 4 1045 8 4 1 2 1.4142135623731 4 7 3 1 1.75 0.957427107756338
9 daily#2020-11-02 00:00:00,2020-11-02 23:59:59 daily 2020-11-02 00:00:00 2020-11-02 23:59:59 126 62 6 25.2 26.5273443827308 78 1 891 3 3 3 3 NA 1 2 2 2 2 NA
10 morning#2020-03-06 06:00:00,2020-03-06 11:59:59 morning 2020-03-06 06:00:00 2020-03-06 11:59:59 172 63 3 15.6363636363636 18.0846494424013 360 3 719 7 3 2 2.33333333333333 0.577350269189626 2 4 2 2 2 0
11 morning#2020-03-07 06:00:00,2020-03-07 11:59:59 morning 2020-03-07 06:00:00 2020-03-07 11:59:59 196 72 6 28 27.6164202362773 538 2 708 3 2 1 1.5 0.707106781186548 1 4 4 4 4 NA
12 morning#2020-03-08 06:00:00,2020-03-08 11:59:59 morning 2020-03-08 06:00:00 2020-03-08 11:59:59 181 69 7 30.1666666666667 26.7986318058715 540 1 666 2 2 2 2 NA 2 4 2 2 2 0
13 morning#2020-10-30 06:00:00,2020-10-30 11:59:59 morning 2020-10-30 06:00:00 2020-10-30 11:59:59 172 63 3 15.6363636363636 18.0846494424013 360 3 719 7 3 2 2.33333333333333 0.577350269189626 2 4 2 2 2 0
14 morning#2020-10-31 06:00:00,2020-10-31 11:59:59 morning 2020-10-31 06:00:00 2020-10-31 11:59:59 196 72 6 28 27.6164202362773 538 2 708 3 2 1 1.5 0.707106781186548 1 4 4 4 4 NA
15 morning#2020-11-01 06:00:00,2020-11-01 11:59:59 morning 2020-11-01 06:00:00 2020-11-01 11:59:59 181 69 7 30.1666666666667 26.7986318058715 540 1 666 2 2 2 2 NA 2 4 2 2 2 0
16 threeday#2020-03-06 00:00:00,2020-03-08 23:59:59 threeday 2020-03-06 00:00:00 2020-03-08 23:59:59 1085 72 1 18.3898305084746 19.8737540916384 358 12 1045 33 6 1 2.75 1.81533868615599 11 26 4 1 2.36363636363636 0.924416277737175
17 threeday#2020-03-07 00:00:00,2020-03-09 23:59:59 threeday 2020-03-07 00:00:00 2020-03-09 23:59:59 960 72 2 22.8571428571429 22.0537828496404 538 10 891 20 4 1 2 0.942809041582063 9 22 4 1 2.44444444444444 1.0137937550497
18 threeday#2020-03-08 00:00:00,2020-03-10 23:59:59 threeday 2020-03-08 00:00:00 2020-03-10 23:59:59 433 69 4 21.65 22.0603836393611 19 5 891 11 4 1 2.2 1.30384048104053 5 9 3 1 1.8 0.836660026534076
19 threeday#2020-03-09 00:00:00,2020-03-11 23:59:59 threeday 2020-03-09 00:00:00 2020-03-11 23:59:59 126 62 6 25.2 26.5273443827308 78 1 891 3 3 3 3 NA 1 2 2 2 2 NA
20 threeday#2020-10-28 00:00:00,2020-10-30 23:59:59 threeday 2020-10-28 00:00:00 2020-10-30 23:59:59 251 63 1 11.4090909090909 13.9784156432732 358 4 1081 16 6 2 4 1.63299316185545 3 6 2 2 2 0
21 threeday#2020-10-29 00:00:00,2020-10-31 23:59:59 threeday 2020-10-29 00:00:00 2020-10-31 23:59:59 778 72 1 17.6818181818182 19.5730863239614 358 8 1203 25 6 1 3.125 1.95940953204931 7 19 4 2 2.71428571428571 0.755928946018454
22 threeday#2020-10-30 00:00:00,2020-11-01 23:59:59 threeday 2020-10-30 00:00:00 2020-11-01 23:59:59 1085 72 1 18.3898305084746 19.8737540916384 358 12 1045 33 6 1 2.75 1.81533868615599 11 26 4 1 2.36363636363636 0.924416277737175
23 threeday#2020-10-31 00:00:00,2020-11-02 23:59:59 threeday 2020-10-31 00:00:00 2020-11-02 23:59:59 960 72 2 22.8571428571429 22.0537828496404 538 10 891 20 4 1 2 0.942809041582063 9 22 4 1 2.44444444444444 1.0137937550497
24 threeday#2020-11-01 00:00:00,2020-11-03 23:59:59 threeday 2020-11-01 00:00:00 2020-11-03 23:59:59 433 69 4 21.65 22.0603836393611 19 5 891 11 4 1 2.2 1.30384048104053 5 9 3 1 1.8 0.836660026534076
25 threeday#2020-11-02 00:00:00,2020-11-04 23:59:59 threeday 2020-11-02 00:00:00 2020-11-04 23:59:59 126 62 6 25.2 26.5273443827308 78 1 891 3 3 3 3 NA 1 2 2 2 2 NA
26 weekend#2020-03-06 00:00:00,2020-03-08 23:59:59 weekend 2020-03-06 00:00:00 2020-03-08 23:59:59 1085 72 1 18.3898305084746 19.8737540916384 358 12 1045 33 6 1 2.75 1.81533868615599 11 26 4 1 2.36363636363636 0.924416277737175
27 weekend#2020-10-30 00:00:00,2020-11-01 23:59:59 weekend 2020-10-30 00:00:00 2020-11-01 23:59:59 1085 72 1 18.3898305084746 19.8737540916384 358 12 1045 33 6 1 2.75 1.81533868615599 11 26 4 1 2.36363636363636 0.924416277737175

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@ -1 +0,0 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_countcharge","phone_battery_rapids_sumdurationcharge","phone_battery_rapids_sumdurationdischarge","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_countdischarge","phone_battery_rapids_maxconsumptionrate"
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_countcharge phone_battery_rapids_sumdurationcharge phone_battery_rapids_sumdurationdischarge phone_battery_rapids_avgconsumptionrate phone_battery_rapids_countdischarge phone_battery_rapids_maxconsumptionrate

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@ -1 +1 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_firststeptime","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_laststeptime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_mindurationactivebout" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","fitbit_steps_intraday_rapids_sumsteps","fitbit_steps_intraday_rapids_minsteps","fitbit_steps_intraday_rapids_maxsteps","fitbit_steps_intraday_rapids_stdsteps","fitbit_steps_intraday_rapids_avgsteps","fitbit_steps_intraday_rapids_stddurationsedentarybout","fitbit_steps_intraday_rapids_avgdurationsedentarybout","fitbit_steps_intraday_rapids_sumdurationsedentarybout","fitbit_steps_intraday_rapids_mindurationsedentarybout","fitbit_steps_intraday_rapids_countepisodesedentarybout","fitbit_steps_intraday_rapids_maxdurationsedentarybout","fitbit_steps_intraday_rapids_countepisodeactivebout","fitbit_steps_intraday_rapids_maxdurationactivebout","fitbit_steps_intraday_rapids_mindurationactivebout","fitbit_steps_intraday_rapids_stddurationactivebout","fitbit_steps_intraday_rapids_avgdurationactivebout","fitbit_steps_intraday_rapids_sumdurationactivebout"

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime fitbit_steps_intraday_rapids_firststeptime fitbit_steps_intraday_rapids_sumsteps fitbit_steps_intraday_rapids_minsteps fitbit_steps_intraday_rapids_laststeptime fitbit_steps_intraday_rapids_maxsteps fitbit_steps_intraday_rapids_stdsteps fitbit_steps_intraday_rapids_avgsteps fitbit_steps_intraday_rapids_stddurationsedentarybout fitbit_steps_intraday_rapids_avgdurationsedentarybout fitbit_steps_intraday_rapids_sumdurationsedentarybout fitbit_steps_intraday_rapids_mindurationsedentarybout fitbit_steps_intraday_rapids_countepisodesedentarybout fitbit_steps_intraday_rapids_maxdurationsedentarybout fitbit_steps_intraday_rapids_countepisodeactivebout fitbit_steps_intraday_rapids_maxdurationactivebout fitbit_steps_intraday_rapids_mindurationactivebout fitbit_steps_intraday_rapids_stddurationactivebout fitbit_steps_intraday_rapids_avgdurationactivebout fitbit_steps_intraday_rapids_sumdurationactivebout

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@ -1,18 +1,18 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_activity_recognition_rapids_count","phone_activity_recognition_rapids_mostcommonactivity","phone_activity_recognition_rapids_countuniqueactivities","phone_activity_recognition_rapids_durationstationary","phone_activity_recognition_rapids_durationmobile","phone_activity_recognition_rapids_durationvehicle" "local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_activity_recognition_rapids_count","phone_activity_recognition_rapids_mostcommonactivity","phone_activity_recognition_rapids_countuniqueactivities","phone_activity_recognition_rapids_durationstationary","phone_activity_recognition_rapids_durationmobile","phone_activity_recognition_rapids_durationvehicle"
"daily#2020-03-06 00:00:00,2020-03-06 23:59:59","daily","2020-03-06 00:00:00","2020-03-06 23:59:59",47,3,6,89.8647166666667,112.7929,43.7290666666667 "daily#2020-03-06 00:00:00,2020-03-06 23:59:59","daily","2020-03-06 00:00:00","2020-03-06 23:59:59",47,3,6,89.8647166666667,112.7929,43.7290666666667
"daily#2020-03-07 00:00:00,2020-03-07 23:59:59","daily","2020-03-07 00:00:00","2020-03-07 23:59:59",10,3,3,19.9996666666667,19.9996666666667,9.99983333333333 "daily#2020-03-07 00:00:00,2020-03-07 23:59:59","daily","2020-03-07 00:00:00","2020-03-07 23:59:59",10,3,3,19.9996666666667,19.9996666666667,9.99983333333333
"daily#2020-03-08 00:00:00,2020-03-08 23:59:59","daily","2020-03-08 00:00:00","2020-03-08 23:59:59",5,3,2,14.99975,9.99983333333333,0 "daily#2020-03-08 00:00:00,2020-03-08 23:59:59","daily","2020-03-08 00:00:00","2020-03-08 23:59:59",5,3,2,14.99975,9.99983333333333,NA
"daily#2020-03-09 00:00:00,2020-03-09 23:59:59","daily","2020-03-09 00:00:00","2020-03-09 23:59:59",5,0,3,6.99988333333333,9.99983333333333,9.99983333333333 "daily#2020-03-09 00:00:00,2020-03-09 23:59:59","daily","2020-03-09 00:00:00","2020-03-09 23:59:59",5,0,3,6.99988333333333,9.99983333333333,9.99983333333333
"daily#2020-10-30 00:00:00,2020-10-30 23:59:59","daily","2020-10-30 00:00:00","2020-10-30 23:59:59",47,3,6,89.8647166666667,112.7929,43.7290666666667 "daily#2020-10-30 00:00:00,2020-10-30 23:59:59","daily","2020-10-30 00:00:00","2020-10-30 23:59:59",47,3,6,89.8647166666667,112.7929,43.7290666666667
"daily#2020-10-31 00:00:00,2020-10-31 23:59:59","daily","2020-10-31 00:00:00","2020-10-31 23:59:59",9,7,3,14.99975,19.9996666666667,9.99983333333333 "daily#2020-10-31 00:00:00,2020-10-31 23:59:59","daily","2020-10-31 00:00:00","2020-10-31 23:59:59",9,7,3,14.99975,19.9996666666667,9.99983333333333
"daily#2020-11-01 00:00:00,2020-11-01 23:59:59","daily","2020-11-01 00:00:00","2020-11-01 23:59:59",6,3,2,19.9996666666667,9.99983333333333,0 "daily#2020-11-01 00:00:00,2020-11-01 23:59:59","daily","2020-11-01 00:00:00","2020-11-01 23:59:59",6,3,2,19.9996666666667,9.99983333333333,NA
"daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",5,0,3,6.99988333333333,9.99983333333333,9.99983333333333 "daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",5,0,3,6.99988333333333,9.99983333333333,9.99983333333333
"morning#2020-03-06 06:00:00,2020-03-06 11:59:59","morning","2020-03-06 06:00:00","2020-03-06 11:59:59",13,7,4,19.8658833333333,44.4810333333333,15.1531666666667 "morning#2020-03-06 06:00:00,2020-03-06 11:59:59","morning","2020-03-06 06:00:00","2020-03-06 11:59:59",13,7,4,19.8658833333333,44.4810333333333,15.1531666666667
"morning#2020-03-07 06:00:00,2020-03-07 11:59:59","morning","2020-03-07 06:00:00","2020-03-07 11:59:59",2,7,1,0,9.99983333333333,0 "morning#2020-03-07 06:00:00,2020-03-07 11:59:59","morning","2020-03-07 06:00:00","2020-03-07 11:59:59",2,7,1,NA,9.99983333333333,NA
"morning#2020-03-09 06:00:00,2020-03-09 11:59:59","morning","2020-03-09 06:00:00","2020-03-09 11:59:59",2,7,1,0,9.99983333333333,0 "morning#2020-03-09 06:00:00,2020-03-09 11:59:59","morning","2020-03-09 06:00:00","2020-03-09 11:59:59",2,7,1,NA,9.99983333333333,NA
"morning#2020-10-30 06:00:00,2020-10-30 11:59:59","morning","2020-10-30 06:00:00","2020-10-30 11:59:59",13,7,4,19.8658833333333,44.4810333333333,15.1531666666667 "morning#2020-10-30 06:00:00,2020-10-30 11:59:59","morning","2020-10-30 06:00:00","2020-10-30 11:59:59",13,7,4,19.8658833333333,44.4810333333333,15.1531666666667
"morning#2020-10-31 06:00:00,2020-10-31 11:59:59","morning","2020-10-31 06:00:00","2020-10-31 11:59:59",2,7,1,0,9.99983333333333,0 "morning#2020-10-31 06:00:00,2020-10-31 11:59:59","morning","2020-10-31 06:00:00","2020-10-31 11:59:59",2,7,1,NA,9.99983333333333,NA
"morning#2020-11-02 06:00:00,2020-11-02 11:59:59","morning","2020-11-02 06:00:00","2020-11-02 11:59:59",2,7,1,0,9.99983333333333,0 "morning#2020-11-02 06:00:00,2020-11-02 11:59:59","morning","2020-11-02 06:00:00","2020-11-02 11:59:59",2,7,1,NA,9.99983333333333,NA
"threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",62,3,6,124.864133333333,142.7924,53.7289 "threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",62,3,6,124.864133333333,142.7924,53.7289
"threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",20,3,4,41.9993,39.9993333333333,19.9996666666667 "threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",20,3,4,41.9993,39.9993333333333,19.9996666666667
"threeday#2020-03-08 00:00:00,2020-03-10 23:59:59","threeday","2020-03-08 00:00:00","2020-03-10 23:59:59",10,3,4,21.9996333333333,19.9996666666667,9.99983333333333 "threeday#2020-03-08 00:00:00,2020-03-10 23:59:59","threeday","2020-03-08 00:00:00","2020-03-10 23:59:59",10,3,4,21.9996333333333,19.9996666666667,9.99983333333333

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_activity_recognition_rapids_count phone_activity_recognition_rapids_mostcommonactivity phone_activity_recognition_rapids_countuniqueactivities phone_activity_recognition_rapids_durationstationary phone_activity_recognition_rapids_durationmobile phone_activity_recognition_rapids_durationvehicle
2 daily#2020-03-06 00:00:00,2020-03-06 23:59:59 daily 2020-03-06 00:00:00 2020-03-06 23:59:59 47 3 6 89.8647166666667 112.7929 43.7290666666667
3 daily#2020-03-07 00:00:00,2020-03-07 23:59:59 daily 2020-03-07 00:00:00 2020-03-07 23:59:59 10 3 3 19.9996666666667 19.9996666666667 9.99983333333333
4 daily#2020-03-08 00:00:00,2020-03-08 23:59:59 daily 2020-03-08 00:00:00 2020-03-08 23:59:59 5 3 2 14.99975 9.99983333333333 0 NA
5 daily#2020-03-09 00:00:00,2020-03-09 23:59:59 daily 2020-03-09 00:00:00 2020-03-09 23:59:59 5 0 3 6.99988333333333 9.99983333333333 9.99983333333333
6 daily#2020-10-30 00:00:00,2020-10-30 23:59:59 daily 2020-10-30 00:00:00 2020-10-30 23:59:59 47 3 6 89.8647166666667 112.7929 43.7290666666667
7 daily#2020-10-31 00:00:00,2020-10-31 23:59:59 daily 2020-10-31 00:00:00 2020-10-31 23:59:59 9 7 3 14.99975 19.9996666666667 9.99983333333333
8 daily#2020-11-01 00:00:00,2020-11-01 23:59:59 daily 2020-11-01 00:00:00 2020-11-01 23:59:59 6 3 2 19.9996666666667 9.99983333333333 0 NA
9 daily#2020-11-02 00:00:00,2020-11-02 23:59:59 daily 2020-11-02 00:00:00 2020-11-02 23:59:59 5 0 3 6.99988333333333 9.99983333333333 9.99983333333333
10 morning#2020-03-06 06:00:00,2020-03-06 11:59:59 morning 2020-03-06 06:00:00 2020-03-06 11:59:59 13 7 4 19.8658833333333 44.4810333333333 15.1531666666667
11 morning#2020-03-07 06:00:00,2020-03-07 11:59:59 morning 2020-03-07 06:00:00 2020-03-07 11:59:59 2 7 1 0 NA 9.99983333333333 0 NA
12 morning#2020-03-09 06:00:00,2020-03-09 11:59:59 morning 2020-03-09 06:00:00 2020-03-09 11:59:59 2 7 1 0 NA 9.99983333333333 0 NA
13 morning#2020-10-30 06:00:00,2020-10-30 11:59:59 morning 2020-10-30 06:00:00 2020-10-30 11:59:59 13 7 4 19.8658833333333 44.4810333333333 15.1531666666667
14 morning#2020-10-31 06:00:00,2020-10-31 11:59:59 morning 2020-10-31 06:00:00 2020-10-31 11:59:59 2 7 1 0 NA 9.99983333333333 0 NA
15 morning#2020-11-02 06:00:00,2020-11-02 11:59:59 morning 2020-11-02 06:00:00 2020-11-02 11:59:59 2 7 1 0 NA 9.99983333333333 0 NA
16 threeday#2020-03-06 00:00:00,2020-03-08 23:59:59 threeday 2020-03-06 00:00:00 2020-03-08 23:59:59 62 3 6 124.864133333333 142.7924 53.7289
17 threeday#2020-03-07 00:00:00,2020-03-09 23:59:59 threeday 2020-03-07 00:00:00 2020-03-09 23:59:59 20 3 4 41.9993 39.9993333333333 19.9996666666667
18 threeday#2020-03-08 00:00:00,2020-03-10 23:59:59 threeday 2020-03-08 00:00:00 2020-03-10 23:59:59 10 3 4 21.9996333333333 19.9996666666667 9.99983333333333

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@ -1,25 +0,0 @@
"local_segment","local_segment_label","local_segment_start_datetime","local_segment_end_datetime","phone_battery_rapids_countdischarge","phone_battery_rapids_sumdurationdischarge","phone_battery_rapids_avgconsumptionrate","phone_battery_rapids_maxconsumptionrate","phone_battery_rapids_countcharge","phone_battery_rapids_sumdurationcharge"
"daily#2020-03-06 00:00:00,2020-03-06 23:59:59","daily","2020-03-06 00:00:00","2020-03-06 23:59:59",7,209.252233333333,0.162372228128814,0.454125732277743,6,233.02095
"daily#2020-03-07 00:00:00,2020-03-07 23:59:59","daily","2020-03-07 00:00:00","2020-03-07 23:59:59",2,70.9154833333333,0.0607260020848825,0.0769243589957268,2,83.9986
"daily#2020-03-08 00:00:00,2020-03-08 23:59:59","daily","2020-03-08 00:00:00","2020-03-08 23:59:59",1,43.9992666666667,0.0454553030429295,0.0454553030429295,1,16.9997166666667
"daily#2020-03-09 00:00:00,2020-03-09 23:59:59","daily","2020-03-09 00:00:00","2020-03-09 23:59:59",1,41.9993,0.047619841283069,0.047619841283069,1,41.9993
"daily#2020-10-30 00:00:00,2020-10-30 23:59:59","daily","2020-10-30 00:00:00","2020-10-30 23:59:59",7,209.252233333333,0.162372228128814,0.454125732277743,6,233.02095
"daily#2020-10-31 00:00:00,2020-10-31 23:59:59","daily","2020-10-31 00:00:00","2020-10-31 23:59:59",2,70.9154833333333,0.0607260020848825,0.0769243589957268,2,83.9986
"daily#2020-11-01 00:00:00,2020-11-01 23:59:59","daily","2020-11-01 00:00:00","2020-11-01 23:59:59",1,43.9992666666667,0.0454553030429295,0.0454553030429295,1,16.9997166666667
"daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",1,41.9993,0.047619841283069,0.047619841283069,1,41.9993
"morning#2020-03-06 06:00:00,2020-03-06 11:59:59","morning","2020-03-06 06:00:00","2020-03-06 11:59:59",2,75.56395,0.065515964597609,0.0731286084397727,2,42.61665
"morning#2020-03-09 06:00:00,2020-03-09 11:59:59","morning","2020-03-09 06:00:00","2020-03-09 11:59:59",0,0,0,0,1,41.9993
"morning#2020-10-30 06:00:00,2020-10-30 11:59:59","morning","2020-10-30 06:00:00","2020-10-30 11:59:59",2,75.56395,0.065515964597609,0.0731286084397727,2,42.61665
"morning#2020-11-02 06:00:00,2020-11-02 11:59:59","morning","2020-11-02 06:00:00","2020-11-02 11:59:59",0,0,0,0,1,41.9993
"threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",10,352.964433333333,0.0881645773996147,0.301282459000479,9,334.019266666667
"threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",4,156.91405,0.0536317871239409,0.0769243589957268,4,142.997616666667
"threeday#2020-03-08 00:00:00,2020-03-10 23:59:59","threeday","2020-03-08 00:00:00","2020-03-10 23:59:59",2,85.9985666666666,0.0465375721629993,0.047619841283069,2,58.9990166666667
"threeday#2020-03-09 00:00:00,2020-03-11 23:59:59","threeday","2020-03-09 00:00:00","2020-03-11 23:59:59",1,41.9993,0.047619841283069,0.047619841283069,1,41.9993
"threeday#2020-10-28 00:00:00,2020-10-30 23:59:59","threeday","2020-10-28 00:00:00","2020-10-30 23:59:59",7,209.252233333333,0.162372228128814,0.454125732277743,6,233.02095
"threeday#2020-10-29 00:00:00,2020-10-31 23:59:59","threeday","2020-10-29 00:00:00","2020-10-31 23:59:59",9,308.965166666667,0.0929100523281352,0.301282459000479,8,317.01955
"threeday#2020-10-30 00:00:00,2020-11-01 23:59:59","threeday","2020-10-30 00:00:00","2020-11-01 23:59:59",10,352.964433333333,0.0881645773996147,0.301282459000479,9,334.019266666667
"threeday#2020-10-31 00:00:00,2020-11-02 23:59:59","threeday","2020-10-31 00:00:00","2020-11-02 23:59:59",4,156.91405,0.0536317871239409,0.0769243589957268,4,142.997616666667
"threeday#2020-11-01 00:00:00,2020-11-03 23:59:59","threeday","2020-11-01 00:00:00","2020-11-03 23:59:59",2,85.9985666666666,0.0465375721629993,0.047619841283069,2,58.9990166666667
"threeday#2020-11-02 00:00:00,2020-11-04 23:59:59","threeday","2020-11-02 00:00:00","2020-11-04 23:59:59",1,41.9993,0.047619841283069,0.047619841283069,1,41.9993
"weekend#2020-03-06 00:00:00,2020-03-08 23:59:59","weekend","2020-03-06 00:00:00","2020-03-08 23:59:59",10,352.964433333333,0.0881645773996147,0.301282459000479,9,334.019266666667
"weekend#2020-10-30 00:00:00,2020-11-01 23:59:59","weekend","2020-10-30 00:00:00","2020-11-01 23:59:59",10,352.964433333333,0.0881645773996147,0.301282459000479,9,334.019266666667
1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_battery_rapids_countdischarge phone_battery_rapids_sumdurationdischarge phone_battery_rapids_avgconsumptionrate phone_battery_rapids_maxconsumptionrate phone_battery_rapids_countcharge phone_battery_rapids_sumdurationcharge
2 daily#2020-03-06 00:00:00,2020-03-06 23:59:59 daily 2020-03-06 00:00:00 2020-03-06 23:59:59 7 209.252233333333 0.162372228128814 0.454125732277743 6 233.02095
3 daily#2020-03-07 00:00:00,2020-03-07 23:59:59 daily 2020-03-07 00:00:00 2020-03-07 23:59:59 2 70.9154833333333 0.0607260020848825 0.0769243589957268 2 83.9986
4 daily#2020-03-08 00:00:00,2020-03-08 23:59:59 daily 2020-03-08 00:00:00 2020-03-08 23:59:59 1 43.9992666666667 0.0454553030429295 0.0454553030429295 1 16.9997166666667
5 daily#2020-03-09 00:00:00,2020-03-09 23:59:59 daily 2020-03-09 00:00:00 2020-03-09 23:59:59 1 41.9993 0.047619841283069 0.047619841283069 1 41.9993
6 daily#2020-10-30 00:00:00,2020-10-30 23:59:59 daily 2020-10-30 00:00:00 2020-10-30 23:59:59 7 209.252233333333 0.162372228128814 0.454125732277743 6 233.02095
7 daily#2020-10-31 00:00:00,2020-10-31 23:59:59 daily 2020-10-31 00:00:00 2020-10-31 23:59:59 2 70.9154833333333 0.0607260020848825 0.0769243589957268 2 83.9986
8 daily#2020-11-01 00:00:00,2020-11-01 23:59:59 daily 2020-11-01 00:00:00 2020-11-01 23:59:59 1 43.9992666666667 0.0454553030429295 0.0454553030429295 1 16.9997166666667
9 daily#2020-11-02 00:00:00,2020-11-02 23:59:59 daily 2020-11-02 00:00:00 2020-11-02 23:59:59 1 41.9993 0.047619841283069 0.047619841283069 1 41.9993
10 morning#2020-03-06 06:00:00,2020-03-06 11:59:59 morning 2020-03-06 06:00:00 2020-03-06 11:59:59 2 75.56395 0.065515964597609 0.0731286084397727 2 42.61665
11 morning#2020-03-09 06:00:00,2020-03-09 11:59:59 morning 2020-03-09 06:00:00 2020-03-09 11:59:59 0 0 0 0 1 41.9993
12 morning#2020-10-30 06:00:00,2020-10-30 11:59:59 morning 2020-10-30 06:00:00 2020-10-30 11:59:59 2 75.56395 0.065515964597609 0.0731286084397727 2 42.61665
13 morning#2020-11-02 06:00:00,2020-11-02 11:59:59 morning 2020-11-02 06:00:00 2020-11-02 11:59:59 0 0 0 0 1 41.9993
14 threeday#2020-03-06 00:00:00,2020-03-08 23:59:59 threeday 2020-03-06 00:00:00 2020-03-08 23:59:59 10 352.964433333333 0.0881645773996147 0.301282459000479 9 334.019266666667
15 threeday#2020-03-07 00:00:00,2020-03-09 23:59:59 threeday 2020-03-07 00:00:00 2020-03-09 23:59:59 4 156.91405 0.0536317871239409 0.0769243589957268 4 142.997616666667
16 threeday#2020-03-08 00:00:00,2020-03-10 23:59:59 threeday 2020-03-08 00:00:00 2020-03-10 23:59:59 2 85.9985666666666 0.0465375721629993 0.047619841283069 2 58.9990166666667
17 threeday#2020-03-09 00:00:00,2020-03-11 23:59:59 threeday 2020-03-09 00:00:00 2020-03-11 23:59:59 1 41.9993 0.047619841283069 0.047619841283069 1 41.9993
18 threeday#2020-10-28 00:00:00,2020-10-30 23:59:59 threeday 2020-10-28 00:00:00 2020-10-30 23:59:59 7 209.252233333333 0.162372228128814 0.454125732277743 6 233.02095
19 threeday#2020-10-29 00:00:00,2020-10-31 23:59:59 threeday 2020-10-29 00:00:00 2020-10-31 23:59:59 9 308.965166666667 0.0929100523281352 0.301282459000479 8 317.01955
20 threeday#2020-10-30 00:00:00,2020-11-01 23:59:59 threeday 2020-10-30 00:00:00 2020-11-01 23:59:59 10 352.964433333333 0.0881645773996147 0.301282459000479 9 334.019266666667
21 threeday#2020-10-31 00:00:00,2020-11-02 23:59:59 threeday 2020-10-31 00:00:00 2020-11-02 23:59:59 4 156.91405 0.0536317871239409 0.0769243589957268 4 142.997616666667
22 threeday#2020-11-01 00:00:00,2020-11-03 23:59:59 threeday 2020-11-01 00:00:00 2020-11-03 23:59:59 2 85.9985666666666 0.0465375721629993 0.047619841283069 2 58.9990166666667
23 threeday#2020-11-02 00:00:00,2020-11-04 23:59:59 threeday 2020-11-02 00:00:00 2020-11-04 23:59:59 1 41.9993 0.047619841283069 0.047619841283069 1 41.9993
24 weekend#2020-03-06 00:00:00,2020-03-08 23:59:59 weekend 2020-03-06 00:00:00 2020-03-08 23:59:59 10 352.964433333333 0.0881645773996147 0.301282459000479 9 334.019266666667
25 weekend#2020-10-30 00:00:00,2020-11-01 23:59:59 weekend 2020-10-30 00:00:00 2020-11-01 23:59:59 10 352.964433333333 0.0881645773996147 0.301282459000479 9 334.019266666667

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@ -9,11 +9,11 @@
"daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",0,0,NA,NA,0,3,3,524.666666666667,1574,439,638,102.34419052068,439,1.08679835776769,278,1346,0,6,6,215.166666666667,1291,0,1114,443.663122951037,0,0.470734328603488,198,1075,0 "daily#2020-11-02 00:00:00,2020-11-02 23:59:59","daily","2020-11-02 00:00:00","2020-11-02 23:59:59",0,0,NA,NA,0,3,3,524.666666666667,1574,439,638,102.34419052068,439,1.08679835776769,278,1346,0,6,6,215.166666666667,1291,0,1114,443.663122951037,0,0.470734328603488,198,1075,0
"morning#2020-03-06 06:00:00,2020-03-06 11:59:59","morning","2020-03-06 06:00:00","2020-03-06 11:59:59",0,0,NA,NA,0,2,2,1102.5,2205,920,1285,258.09397513309,920,0.679610106244749,515,600,1,4,4,736.5,2946,0,1101,513.682457036121,1101,1.08663786141562,400,687,1 "morning#2020-03-06 06:00:00,2020-03-06 11:59:59","morning","2020-03-06 06:00:00","2020-03-06 11:59:59",0,0,NA,NA,0,2,2,1102.5,2205,920,1285,258.09397513309,920,0.679610106244749,515,600,1,4,4,736.5,2946,0,1101,513.682457036121,1101,1.08663786141562,400,687,1
"morning#2020-03-07 06:00:00,2020-03-07 11:59:59","morning","2020-03-07 06:00:00","2020-03-07 11:59:59",0,0,NA,NA,0,3,3,720,2160,183,1304,561.975978134297,183,0.877593776130338,512,600,0,3,3,633.333333333333,1900,0,1131,577.57625759144,1131,0.675148764608652,418,687,0 "morning#2020-03-07 06:00:00,2020-03-07 11:59:59","morning","2020-03-07 06:00:00","2020-03-07 11:59:59",0,0,NA,NA,0,3,3,720,2160,183,1304,561.975978134297,183,0.877593776130338,512,600,0,3,3,633.333333333333,1900,0,1131,577.57625759144,1131,0.675148764608652,418,687,0
"morning#2020-03-08 06:00:00,2020-03-08 11:59:59","morning","2020-03-08 06:00:00","2020-03-08 11:59:59",1,1,528,528,1,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "morning#2020-03-08 06:00:00,2020-03-08 11:59:59","morning","2020-03-08 06:00:00","2020-03-08 11:59:59",1,1,528,528,1,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"morning#2020-03-09 06:00:00,2020-03-09 11:59:59","morning","2020-03-09 06:00:00","2020-03-09 11:59:59",0,0,NA,NA,0,1,1,638,638,638,638,NA,638,0,692,692,0,2,2,557,1114,0,1114,787.716954241814,0,0,541,558,0 "morning#2020-03-09 06:00:00,2020-03-09 11:59:59","morning","2020-03-09 06:00:00","2020-03-09 11:59:59",0,0,NA,NA,0,1,1,638,638,638,638,NA,638,0,692,692,0,2,2,557,1114,0,1114,787.716954241814,0,0,541,558,0
"morning#2020-10-30 06:00:00,2020-10-30 11:59:59","morning","2020-10-30 06:00:00","2020-10-30 11:59:59",0,0,NA,NA,0,2,2,1102.5,2205,920,1285,258.09397513309,920,0.679610106244749,515,600,0,4,4,736.5,2946,0,1101,513.682457036121,1101,1.08663786141562,400,687,0 "morning#2020-10-30 06:00:00,2020-10-30 11:59:59","morning","2020-10-30 06:00:00","2020-10-30 11:59:59",0,0,NA,NA,0,2,2,1102.5,2205,920,1285,258.09397513309,920,0.679610106244749,515,600,0,4,4,736.5,2946,0,1101,513.682457036121,1101,1.08663786141562,400,687,0
"morning#2020-10-31 06:00:00,2020-10-31 11:59:59","morning","2020-10-31 06:00:00","2020-10-31 11:59:59",0,0,NA,NA,0,3,3,720,2160,183,1304,561.975978134297,183,0.877593776130338,512,600,0,3,3,633.333333333333,1900,0,1131,577.57625759144,1131,0.675148764608652,418,687,0 "morning#2020-10-31 06:00:00,2020-10-31 11:59:59","morning","2020-10-31 06:00:00","2020-10-31 11:59:59",0,0,NA,NA,0,3,3,720,2160,183,1304,561.975978134297,183,0.877593776130338,512,600,0,3,3,633.333333333333,1900,0,1131,577.57625759144,1131,0.675148764608652,418,687,0
"morning#2020-11-01 06:00:00,2020-11-01 11:59:59","morning","2020-11-01 06:00:00","2020-11-01 11:59:59",1,1,528,528,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0,0,0,0,0,0,0,NA,0,NA,NA,NA,0 "morning#2020-11-01 06:00:00,2020-11-01 11:59:59","morning","2020-11-01 06:00:00","2020-11-01 11:59:59",1,1,528,528,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0,0,0,NA,NA,NA,NA,NA,NA,NA,NA,NA,0
"morning#2020-11-02 06:00:00,2020-11-02 11:59:59","morning","2020-11-02 06:00:00","2020-11-02 11:59:59",0,0,NA,NA,0,1,1,638,638,638,638,NA,638,0,692,692,0,2,2,557,1114,0,1114,787.716954241814,0,0,541,558,0 "morning#2020-11-02 06:00:00,2020-11-02 11:59:59","morning","2020-11-02 06:00:00","2020-11-02 11:59:59",0,0,NA,NA,0,1,1,638,638,638,638,NA,638,0,692,692,0,2,2,557,1114,0,1114,787.716954241814,0,0,541,558,0
"threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",5,5,874,528,1,17,17,833.764705882353,14174,143,1730,473.744199095325,449,2.66490275337698,163,237,1,23,23,571.95652173913,13155,0,1556,595.90324704762,0,2.48437998679661,13,1283,1 "threeday#2020-03-06 00:00:00,2020-03-08 23:59:59","threeday","2020-03-06 00:00:00","2020-03-08 23:59:59",5,5,874,528,1,17,17,833.764705882353,14174,143,1730,473.744199095325,449,2.66490275337698,163,237,1,23,23,571.95652173913,13155,0,1556,595.90324704762,0,2.48437998679661,13,1283,1
"threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",2,2,1034,528,0,12,12,668.25,8019,143,1304,390.918993003549,183,2.32124820396783,512,237,1,16,16,404.3125,6469,0,1556,580.481836494476,0,1.80809251164474,418,1283,1 "threeday#2020-03-07 00:00:00,2020-03-09 23:59:59","threeday","2020-03-07 00:00:00","2020-03-09 23:59:59",2,2,1034,528,0,12,12,668.25,8019,143,1304,390.918993003549,183,2.32124820396783,512,237,1,16,16,404.3125,6469,0,1556,580.481836494476,0,1.80809251164474,418,1283,1

1 local_segment local_segment_label local_segment_start_datetime local_segment_end_datetime phone_calls_rapids_missed_count phone_calls_rapids_missed_distinctcontacts phone_calls_rapids_missed_timefirstcall phone_calls_rapids_missed_timelastcall phone_calls_rapids_missed_countmostfrequentcontact phone_calls_rapids_incoming_count phone_calls_rapids_incoming_distinctcontacts phone_calls_rapids_incoming_meanduration phone_calls_rapids_incoming_sumduration phone_calls_rapids_incoming_minduration phone_calls_rapids_incoming_maxduration phone_calls_rapids_incoming_stdduration phone_calls_rapids_incoming_modeduration phone_calls_rapids_incoming_entropyduration phone_calls_rapids_incoming_timefirstcall phone_calls_rapids_incoming_timelastcall phone_calls_rapids_incoming_countmostfrequentcontact phone_calls_rapids_outgoing_count phone_calls_rapids_outgoing_distinctcontacts phone_calls_rapids_outgoing_meanduration phone_calls_rapids_outgoing_sumduration phone_calls_rapids_outgoing_minduration phone_calls_rapids_outgoing_maxduration phone_calls_rapids_outgoing_stdduration phone_calls_rapids_outgoing_modeduration phone_calls_rapids_outgoing_entropyduration phone_calls_rapids_outgoing_timefirstcall phone_calls_rapids_outgoing_timelastcall phone_calls_rapids_outgoing_countmostfrequentcontact
9 daily#2020-11-02 00:00:00,2020-11-02 23:59:59 daily 2020-11-02 00:00:00 2020-11-02 23:59:59 0 0 NA NA 0 3 3 524.666666666667 1574 439 638 102.34419052068 439 1.08679835776769 278 1346 0 6 6 215.166666666667 1291 0 1114 443.663122951037 0 0.470734328603488 198 1075 0
10 morning#2020-03-06 06:00:00,2020-03-06 11:59:59 morning 2020-03-06 06:00:00 2020-03-06 11:59:59 0 0 NA NA 0 2 2 1102.5 2205 920 1285 258.09397513309 920 0.679610106244749 515 600 1 4 4 736.5 2946 0 1101 513.682457036121 1101 1.08663786141562 400 687 1
11 morning#2020-03-07 06:00:00,2020-03-07 11:59:59 morning 2020-03-07 06:00:00 2020-03-07 11:59:59 0 0 NA NA 0 3 3 720 2160 183 1304 561.975978134297 183 0.877593776130338 512 600 0 3 3 633.333333333333 1900 0 1131 577.57625759144 1131 0.675148764608652 418 687 0
12 morning#2020-03-08 06:00:00,2020-03-08 11:59:59 morning 2020-03-08 06:00:00 2020-03-08 11:59:59 1 1 528 528 1 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
13 morning#2020-03-09 06:00:00,2020-03-09 11:59:59 morning 2020-03-09 06:00:00 2020-03-09 11:59:59 0 0 NA NA 0 1 1 638 638 638 638 NA 638 0 692 692 0 2 2 557 1114 0 1114 787.716954241814 0 0 541 558 0
14 morning#2020-10-30 06:00:00,2020-10-30 11:59:59 morning 2020-10-30 06:00:00 2020-10-30 11:59:59 0 0 NA NA 0 2 2 1102.5 2205 920 1285 258.09397513309 920 0.679610106244749 515 600 0 4 4 736.5 2946 0 1101 513.682457036121 1101 1.08663786141562 400 687 0
15 morning#2020-10-31 06:00:00,2020-10-31 11:59:59 morning 2020-10-31 06:00:00 2020-10-31 11:59:59 0 0 NA NA 0 3 3 720 2160 183 1304 561.975978134297 183 0.877593776130338 512 600 0 3 3 633.333333333333 1900 0 1131 577.57625759144 1131 0.675148764608652 418 687 0
16 morning#2020-11-01 06:00:00,2020-11-01 11:59:59 morning 2020-11-01 06:00:00 2020-11-01 11:59:59 1 1 528 528 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0 0 0 0 NA 0 NA 0 NA 0 NA NA 0 NA NA NA NA 0
17 morning#2020-11-02 06:00:00,2020-11-02 11:59:59 morning 2020-11-02 06:00:00 2020-11-02 11:59:59 0 0 NA NA 0 1 1 638 638 638 638 NA 638 0 692 692 0 2 2 557 1114 0 1114 787.716954241814 0 0 541 558 0
18 threeday#2020-03-06 00:00:00,2020-03-08 23:59:59 threeday 2020-03-06 00:00:00 2020-03-08 23:59:59 5 5 874 528 1 17 17 833.764705882353 14174 143 1730 473.744199095325 449 2.66490275337698 163 237 1 23 23 571.95652173913 13155 0 1556 595.90324704762 0 2.48437998679661 13 1283 1
19 threeday#2020-03-07 00:00:00,2020-03-09 23:59:59 threeday 2020-03-07 00:00:00 2020-03-09 23:59:59 2 2 1034 528 0 12 12 668.25 8019 143 1304 390.918993003549 183 2.32124820396783 512 237 1 16 16 404.3125 6469 0 1556 580.481836494476 0 1.80809251164474 418 1283 1

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