Personal Health Data Analysis in Jupyter Notebook
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.ipynb_checkpoints
.gitignore
Activity+Tracking+Analytics.ipynb
HKCategoryTypeIdentifierAppleStandHour.csv
HKCategoryTypeIdentifierMindfulSession.csv
HKQuantityTypeIdentifierAppleExerciseTime.csv
Health Data-daily.csv
Health Data-intraday.csv
README.md
Sleep Analysis.csv
allWorkouts.csv

README.md

Personal Health Data Analysis in Jupyter Notebook

Description

A weekend exercise on analyzing my fitness tracker data, as Apple's Health app is very limited. I'm to expand on the file and clean up the code over time. End goal is to have a reusable notebook with good graphical representation of trends over time. The data is collected from iPhone and Garmin Vivosmart HR and exported to CSV via the QS Access App (excluding the Exercise Minutes & Stand Hours) from the App Store. For the Exercise Minutes & Stand Hours, I exported the XML file from Health Kit and had it converted to CSV using http://ericwolter.com/projects/health-export.html

Data from

iPhone 6S+ (25/09/2015 - 11/03/2016)

Garmin Vivosmart HR (11/03/2016 - 24/11/2016)

Apple Watch 2 (25/11/2016 - Present)

by Ivaylo Pavlov (Last Updated 8 March 2017)

iPhone 6S+

Garmin Vivosmart HR

Apple Watch