Insights with Health Data
Jul 25, 2017 · 1 min read
Apple’s health app provides decent analytics on the data collected by your iPhone or iWatch. But, I feel like some other key stats on the data are missing, so embarked on this mini project.
You can download all Health Data by launching “health” app and visiting your profile (click on a person icon on top right corner). The health data is in xml format, you can convert it to csv by using the link.
I was keen on finding following answers from my health data.
- Longest distance in a day, week & month with respective time periods.
- Shortest distance in a day, week & month with respective time periods (aka laziest days :P).
- Most active part of a day (here)
I used Python, Pandas and Matplotlib to develop the following Jupyter notebook.
Feel free to leave a comment or any other suggestions. Explore by plugging your data to see some great insights and get motivated.