[OC] Interactive Chicago Divvy bike dashboard visualization from April 2020 to May 2026

Tools used were primarily Google’s Antigravity with Opus 4.6/Gemini Flash 3.5, and Cursor with Composer 2.5. The code is Python with sqlite3 and vanilla JavaScript. It has a map that allows you to filter by month, weekday, rider type and activity. This can be used to pinpoint the locations with the most activity by rider type and time of year. The difference in behavior between member and casual riders is pretty interesting. Divvy didn’t seem to do too well last year during this period, but hopefully will have a stronger 2026. I worked on this briefly a while ago during my data analysis certificate, I’ve improved it and now I’m hosting it live. If you have any issues with it please let me know, there may be a few bugs. Thanks for reading.

Interactive charts/map can be viewed live at: https://masland.tech/divvy/

Quick demonstration video: https://i.imgur.com/uhbKYZ5.mp4

Data was sourced from here: https://divvybikes.com/system-data