I put my whole life into a single database

4 days ago

Felix has been tracking over 100 different data types daily for the last 3 years, amassing ~380,000 data points.
Key data sources include RescueTime (computer usage), Foursquare Swarm (location data), manually entered metrics (fitness, mood, sleep, etc.), and weather data.
The project aims to answer questions about how different factors like location, sleep, weather, and computer usage affect his life.
Felix visualizes his data through 48 publicly available graphs, with privacy measures in place to prevent data leaks.
Notable findings include correlations between mood and factors like meditation, alcohol consumption, and temperature.
Felix's flying stats show the impact of COVID-19 on travel, with Sunday being his primary 'commute' day.
His weight and resting heart rate data reveal correlations between weight gain, exercise, and health conditions.
Felix tracks his social life, noting that he tends to feel he socializes too much rather than too little.
Seasonal effects on his life include increased steps and gym visits in summer and more cold symptoms in winter.
Felix has built a custom, open-source system for data collection and visualization, emphasizing privacy and control.
He concludes that while the project provided valuable insights, the time investment may not justify the benefits for others.

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