Life & fun · December 20, 2024
Spotify and Apple Health data as art
For the longest time, I've been interested in the idea that the personal data we have logged across platforms can "paint" a pretty clear picture of who we are. And, as individuals, this will reveal fun and maybe sharable stories about us. So I made this app, Day by Data, to connect with and visualize your personal data like step count, music listening habits, and more into tiny visualizations and data art right on your iPhone. The launch version has a few year-in-steps breakdowns and a few Spotify data-visualizations. Over time, the goal is to make more data sources available to connect and…
In plain words
Day by Data is an iPhone app that transforms personal data from Spotify and Apple Health into visual art and insights. It connects to users' streaming habits and step counts to create year-in-review breakdowns and data visualizations that reveal patterns about their lifestyle and music preferences. The app is designed for people curious about what their logged personal data reveals about them, with plans to eventually include data from other sources like food, travel, and viewing habits.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
For the longest time, I've been interested in the idea that the personal data we have logged across platforms can "paint" a pretty clear picture of who we are. And, as individuals, this will reveal fun and maybe sharable stories about us. So I made this app, Day by Data, to connect with and visualize your personal data like step count, music listening habits, and more into tiny visualizations and data art right on your iPhone. The launch version has a few year-in-steps breakdowns and a few Spotify data-visualizations. Over time, the goal is to make more data sources available to connect and empower users to learn from their personal data stored across these platforms. Think data about the food we eat, places we travel, or shows we watch. Data accessibility and cleanliness is the hardest part, but I'm always open to different sources and visualization types. Let me know what you think and if there are certain data sets you'd like to see visualized!
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