394 lines
14 KiB
Plaintext
394 lines
14 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"import sys\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns\n",
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"\n",
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"nb_dir = os.path.split(os.getcwd())[0]\n",
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"if nb_dir not in sys.path:\n",
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" sys.path.append(nb_dir)\n",
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" \n",
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"from features.communication import *\n",
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"import participants.query_db\n",
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"\n",
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"participants_inactive_usernames = participants.query_db.get_usernames()\n",
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"df_sms = get_sms_data(participants_inactive_usernames)\n",
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"df_calls = get_call_data(participants_inactive_usernames)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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" count_calls = count_comms(df_calls)\n",
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" count_sms = count_comms(df_sms)\n",
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"\n",
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" count_joined = count_calls.merge(\n",
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" count_sms, on=\"participant_id\", suffixes=(\"_calls\", \"_sms\")\n",
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" )"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>participant_id</th>\n",
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" <th>no_incoming</th>\n",
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" <th>no_outgoing</th>\n",
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" <th>no_missed</th>\n",
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" <th>no_all_calls</th>\n",
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" <th>no_incoming_ratio</th>\n",
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" <th>no_outgoing_ratio</th>\n",
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" <th>duration_total_incoming</th>\n",
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" <th>duration_total_outgoing</th>\n",
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" <th>duration_max_incoming</th>\n",
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" <th>duration_max_outgoing</th>\n",
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" <th>no_received</th>\n",
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" <th>no_sent</th>\n",
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" <th>no_all_sms</th>\n",
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" <th>no_received_ratio</th>\n",
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" <th>no_sent_ratio</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>13</td>\n",
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" <td>3.0</td>\n",
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" <td>21.0</td>\n",
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" <td>2.0</td>\n",
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" <td>26.0</td>\n",
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" <td>0.115385</td>\n",
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" <td>0.807692</td>\n",
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" <td>342.0</td>\n",
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" <td>2836.0</td>\n",
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" <td>196.0</td>\n",
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" <td>355.0</td>\n",
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" <td>7.0</td>\n",
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" <td>7.0</td>\n",
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" <td>14.0</td>\n",
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" <td>0.500000</td>\n",
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" <td>0.500000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>14</td>\n",
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" <td>16.0</td>\n",
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" <td>22.0</td>\n",
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" <td>11.0</td>\n",
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" <td>49.0</td>\n",
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" <td>0.326531</td>\n",
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" <td>0.448980</td>\n",
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" <td>1873.0</td>\n",
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" <td>2789.0</td>\n",
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" <td>346.0</td>\n",
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" <td>694.0</td>\n",
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" <td>20.0</td>\n",
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" <td>14.0</td>\n",
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" <td>34.0</td>\n",
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" <td>0.588235</td>\n",
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" <td>0.411765</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>15</td>\n",
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" <td>3.0</td>\n",
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" <td>2.0</td>\n",
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" <td>NaN</td>\n",
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" <td>5.0</td>\n",
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" <td>0.600000</td>\n",
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" <td>0.400000</td>\n",
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" <td>310.0</td>\n",
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" <td>19.0</td>\n",
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" <td>154.0</td>\n",
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" <td>19.0</td>\n",
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" <td>73.0</td>\n",
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" <td>73.0</td>\n",
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" <td>146.0</td>\n",
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" <td>0.500000</td>\n",
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" <td>0.500000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>16</td>\n",
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" <td>4.0</td>\n",
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" <td>6.0</td>\n",
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" <td>3.0</td>\n",
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" <td>13.0</td>\n",
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" <td>0.307692</td>\n",
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" <td>0.461538</td>\n",
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" <td>1963.0</td>\n",
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" <td>849.0</td>\n",
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" <td>1037.0</td>\n",
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" <td>638.0</td>\n",
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" <td>8.0</td>\n",
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" <td>2.0</td>\n",
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" <td>10.0</td>\n",
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" <td>0.800000</td>\n",
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" <td>0.200000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>17</td>\n",
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" <td>20.0</td>\n",
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" <td>60.0</td>\n",
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" <td>8.0</td>\n",
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" <td>88.0</td>\n",
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" <td>0.227273</td>\n",
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" <td>0.681818</td>\n",
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" <td>5789.0</td>\n",
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" <td>17046.0</td>\n",
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" <td>1966.0</td>\n",
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" <td>3830.0</td>\n",
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" <td>7.0</td>\n",
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" <td>1.0</td>\n",
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" <td>8.0</td>\n",
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" <td>0.875000</td>\n",
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" <td>0.125000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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|||
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" <td>...</td>\n",
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|||
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" <td>...</td>\n",
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|||
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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|||
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>56</th>\n",
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" <td>91</td>\n",
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" <td>15.0</td>\n",
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" <td>13.0</td>\n",
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" <td>3.0</td>\n",
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" <td>31.0</td>\n",
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" <td>0.483871</td>\n",
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" <td>0.419355</td>\n",
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" <td>3443.0</td>\n",
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" <td>3636.0</td>\n",
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" <td>644.0</td>\n",
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" <td>1315.0</td>\n",
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" <td>83.0</td>\n",
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" <td>44.0</td>\n",
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" <td>127.0</td>\n",
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" <td>0.653543</td>\n",
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" <td>0.346457</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>57</th>\n",
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" <td>92</td>\n",
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" <td>3.0</td>\n",
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" <td>4.0</td>\n",
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" <td>1.0</td>\n",
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" <td>8.0</td>\n",
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" <td>0.375000</td>\n",
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" <td>0.500000</td>\n",
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" <td>231.0</td>\n",
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" <td>648.0</td>\n",
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" <td>167.0</td>\n",
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" <td>433.0</td>\n",
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" <td>4.0</td>\n",
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" <td>6.0</td>\n",
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" <td>10.0</td>\n",
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" <td>0.400000</td>\n",
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" <td>0.600000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>58</th>\n",
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" <td>93</td>\n",
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" <td>22.0</td>\n",
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" <td>20.0</td>\n",
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" <td>9.0</td>\n",
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" <td>51.0</td>\n",
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" <td>0.431373</td>\n",
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" <td>0.392157</td>\n",
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" <td>2534.0</td>\n",
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" <td>1444.0</td>\n",
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" <td>443.0</td>\n",
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" <td>672.0</td>\n",
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" <td>48.0</td>\n",
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" <td>19.0</td>\n",
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" <td>67.0</td>\n",
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" <td>0.716418</td>\n",
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" <td>0.283582</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>59</th>\n",
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" <td>106</td>\n",
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" <td>12.0</td>\n",
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" <td>30.0</td>\n",
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" <td>6.0</td>\n",
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" <td>48.0</td>\n",
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" <td>0.250000</td>\n",
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" <td>0.625000</td>\n",
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" <td>3049.0</td>\n",
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" <td>2637.0</td>\n",
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" <td>878.0</td>\n",
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" <td>380.0</td>\n",
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" <td>10.0</td>\n",
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" <td>10.0</td>\n",
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" <td>20.0</td>\n",
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" <td>0.500000</td>\n",
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" <td>0.500000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>60</th>\n",
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" <td>107</td>\n",
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" <td>11.0</td>\n",
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" <td>42.0</td>\n",
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" <td>13.0</td>\n",
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" <td>66.0</td>\n",
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|
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" <td>0.166667</td>\n",
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|
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" <td>0.636364</td>\n",
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" <td>3804.0</td>\n",
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" <td>9977.0</td>\n",
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" <td>1519.0</td>\n",
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" <td>1943.0</td>\n",
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" <td>80.0</td>\n",
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" <td>176.0</td>\n",
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" <td>256.0</td>\n",
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" <td>0.312500</td>\n",
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" <td>0.687500</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>61 rows × 16 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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" participant_id no_incoming no_outgoing no_missed no_all_calls \\\n",
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"0 13 3.0 21.0 2.0 26.0 \n",
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"1 14 16.0 22.0 11.0 49.0 \n",
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"2 15 3.0 2.0 NaN 5.0 \n",
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"3 16 4.0 6.0 3.0 13.0 \n",
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"4 17 20.0 60.0 8.0 88.0 \n",
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".. ... ... ... ... ... \n",
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"56 91 15.0 13.0 3.0 31.0 \n",
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"57 92 3.0 4.0 1.0 8.0 \n",
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"58 93 22.0 20.0 9.0 51.0 \n",
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"59 106 12.0 30.0 6.0 48.0 \n",
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"60 107 11.0 42.0 13.0 66.0 \n",
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"\n",
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" no_incoming_ratio no_outgoing_ratio duration_total_incoming \\\n",
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"0 0.115385 0.807692 342.0 \n",
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"1 0.326531 0.448980 1873.0 \n",
|
|||
|
|
"2 0.600000 0.400000 310.0 \n",
|
|||
|
|
"3 0.307692 0.461538 1963.0 \n",
|
|||
|
|
"4 0.227273 0.681818 5789.0 \n",
|
|||
|
|
".. ... ... ... \n",
|
|||
|
|
"56 0.483871 0.419355 3443.0 \n",
|
|||
|
|
"57 0.375000 0.500000 231.0 \n",
|
|||
|
|
"58 0.431373 0.392157 2534.0 \n",
|
|||
|
|
"59 0.250000 0.625000 3049.0 \n",
|
|||
|
|
"60 0.166667 0.636364 3804.0 \n",
|
|||
|
|
"\n",
|
|||
|
|
" duration_total_outgoing duration_max_incoming duration_max_outgoing \\\n",
|
|||
|
|
"0 2836.0 196.0 355.0 \n",
|
|||
|
|
"1 2789.0 346.0 694.0 \n",
|
|||
|
|
"2 19.0 154.0 19.0 \n",
|
|||
|
|
"3 849.0 1037.0 638.0 \n",
|
|||
|
|
"4 17046.0 1966.0 3830.0 \n",
|
|||
|
|
".. ... ... ... \n",
|
|||
|
|
"56 3636.0 644.0 1315.0 \n",
|
|||
|
|
"57 648.0 167.0 433.0 \n",
|
|||
|
|
"58 1444.0 443.0 672.0 \n",
|
|||
|
|
"59 2637.0 878.0 380.0 \n",
|
|||
|
|
"60 9977.0 1519.0 1943.0 \n",
|
|||
|
|
"\n",
|
|||
|
|
" no_received no_sent no_all_sms no_received_ratio no_sent_ratio \n",
|
|||
|
|
"0 7.0 7.0 14.0 0.500000 0.500000 \n",
|
|||
|
|
"1 20.0 14.0 34.0 0.588235 0.411765 \n",
|
|||
|
|
"2 73.0 73.0 146.0 0.500000 0.500000 \n",
|
|||
|
|
"3 8.0 2.0 10.0 0.800000 0.200000 \n",
|
|||
|
|
"4 7.0 1.0 8.0 0.875000 0.125000 \n",
|
|||
|
|
".. ... ... ... ... ... \n",
|
|||
|
|
"56 83.0 44.0 127.0 0.653543 0.346457 \n",
|
|||
|
|
"57 4.0 6.0 10.0 0.400000 0.600000 \n",
|
|||
|
|
"58 48.0 19.0 67.0 0.716418 0.283582 \n",
|
|||
|
|
"59 10.0 10.0 20.0 0.500000 0.500000 \n",
|
|||
|
|
"60 80.0 176.0 256.0 0.312500 0.687500 \n",
|
|||
|
|
"\n",
|
|||
|
|
"[61 rows x 16 columns]"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"execution_count": 9,
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "execute_result"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"count_joined.reset_index()"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": []
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"metadata": {
|
|||
|
|
"kernelspec": {
|
|||
|
|
"display_name": "straw2analysis",
|
|||
|
|
"language": "python",
|
|||
|
|
"name": "straw2analysis"
|
|||
|
|
},
|
|||
|
|
"language_info": {
|
|||
|
|
"codemirror_mode": {
|
|||
|
|
"name": "ipython",
|
|||
|
|
"version": 3
|
|||
|
|
},
|
|||
|
|
"file_extension": ".py",
|
|||
|
|
"mimetype": "text/x-python",
|
|||
|
|
"name": "python",
|
|||
|
|
"nbconvert_exporter": "python",
|
|||
|
|
"pygments_lexer": "ipython3",
|
|||
|
|
"version": "3.9.6"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"nbformat": 4,
|
|||
|
|
"nbformat_minor": 2
|
|||
|
|
}
|