This is a quick guide for creating and running a simple pipeline to extract missing, outgoing, and incoming `call` features for `24 hr` (`00:00:00` to `23:59:59`) and `night` (`00:00:00` to `05:59:59`) time segments of every day of data of one participant that was monitored on the US East coast with an Android smartphone.
2. Make the changes listed below for the corresponding [Configuration](../../setup/configuration) step (we provide an example of what the relevant sections in your `config.yml` will look like after you are done)
Based on the docs, we decided to use the `aware_csv` data stream because we are processing aware data saved in a CSV file. We will use this label in a later step; there's no need to type it or save it anywhere yet.
3.**Create your [participants file](../../setup/configuration#participant-files).**
Since we are processing data from a single participant, you only need to create a single participant file called `p01.yaml`. This participant file only has a `PHONE` section because this hypothetical participant was only monitored with a smartphone. Note that for a real analysis, you can do this [automatically with a CSV file](../../setup/configuration##automatic-creation-of-participant-files)
1. Add `p01` to `[PIDS]` in `config.yaml`
1. Create a file in `data/external/participant_files/p01.yaml` with the following content:
```yaml
PHONE:
DEVICE_IDS: [a748ee1a-1d0b-4ae9-9074-279a2b6ba524] # the participant's AWARE device id