Data mining project to run analyses and visualize data from the Apple Health app from 1/1/2016 - 4/1/2022
.gitignore
README.md
app.py
data
|-- activitysummary.csv
|-- steps.csv
|-- workouts.csv
dataviz.py
fxns.py
get_steps.py
import_clean.ipynb
output
|-- 7day_steps.png
|-- avg_steps_weekDay.png
|-- total_stepspyear.png
steps_viz.ipynb
Data explored first is the activity summary and workout data, but also could do general health (HR, HRV) found in apple_health_export/all_records.csv
with a lot large data files
Imports XML data, converts to dictionary, cleans columns/data types
- workouts and activity summary data done so far, saved in
data/workouts.csv
anddata/activitysummary.csv
- As of 4/25/2022: steps data extracted from
all_records.csv
and cleaned usingget_steps.py
app.py
ia a plotly / dash interactive dashboard: in progresssteps_viz.py
is working progress of visualizations (matplotlib, plotly) of steps: in progress