New top story on Hacker News: Show HN: Spotify and Apple Health Data as Art
Show HN: Spotify and Apple Health Data as Art
9 by pcybr | 2 comments on Hacker News.
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!
December 21, 2024 at 12:12AM pcybr 9 https://ift.tt/ElYk3gS Show HN: Spotify and Apple Health Data as Art 2 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! https://ift.tt/MWSj5xa
9 by pcybr | 2 comments on Hacker News.
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!
December 21, 2024 at 12:12AM pcybr 9 https://ift.tt/ElYk3gS Show HN: Spotify and Apple Health Data as Art 2 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! https://ift.tt/MWSj5xa
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