mood

analytics out of my own mood data across 2020-2021. See analysis here.

usage

$ git clone <repo>
$ cd mood/
$ python ./mood.py # after populating mood.csv

files

• moods_info.json: details on the 6 moods
• mood.csv: raw mood data, columns represent months and each element is a character in the set {a, b, c, d, e, f, x} to represent the 6 moods (see moods_info.json for which mood corresponds to which character), with x for trailing days (example: 2 at the end of feb)

analytics

• total mood frequencies & percentages
• monthly frequency tables
• annual mood frequency bar plots
• time series (via sentiment assignment) with 7 and 30 day rolling means