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My life dashboard - automatically track and visualize your data. Using common tracker APIs to create a minute by minute representation of your day.

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My Data Diary

Goals

  1. Automatically upload data from various sources through APIs (RescueTime, Fitbit, aTimeLogger etc)
  2. Visualize data in an meaningful manner
  3. Change behavior
  4. Maintain a timecapsule of my life
  5. Predict future behavior

Motivation

I used to actively journal when I was a kid. Those entries are a timecapsule of my life; those memories would have mostly been forgotten had I no record of them. That is the motivation for this project, a more automated and perhaps more objective approach to journaling - for me and for anyone else who wants to use my templates.

I often believe I spent x time on something or didn't do y, but my data can tell me otherwise. It's through the active process of revisiting my data and idenitifying anomolies and finding interesting patterns, that I am able to tell a more cohesive story about different periods of my life and perhaps even make some changes in behavior. It's also helped me realize how finite time truly is.

Overview

  • API connection to 3 data streams: Fitbit (Movement and Sleep), RescueTime (Device and Applications) and aTimeLogger (Easy data logging)
  • Data aggregation
  • Helper functions for visualizing data in Python
  • Adaptation of the stacked bar plot for visualizing daily minutes on different activities
  • Lots of charts!

Related Content

My Posts

Mentions

Sample Visualizations

A two week chart of my sleep, device and active time, by the minute.

My screen time before and during the shelter-in-place (total 4 months worth of data).

Differences between the two time periods.

Running a Welch's t-test results in a pvalue of .001, meaning I am spent a lot more time on a device during shelter-in-place.

Next Steps

  • Add a more detailed section in the Readme about the different files
  • Incorporate heartrate data
  • Extract GPS data from Google Maps
  • Clean up helper function files
  • Append mobile app usage with search history (RescueTime no longer captures website data)
  • Store data more permanently in a database (postgres)
  • Move more of data prep steps into a separate .py file

If anyone has suggestions for the above steps, especially the GPS one, I would greatly appreciate your input!

Acknowledgements

I wanted to speficially thank those who had documented/shared with me their API syntax for extracting data:

I also wanted to give a special shout out to Mad and Bastian for creating the OpenHumans platform, a rich community for self research which served as continued inspiration to keep chipping away at this passion project of mine.

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My life dashboard - automatically track and visualize your data. Using common tracker APIs to create a minute by minute representation of your day.

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