citibike

Visualizing my citibike ride history + a sample of global citibike rides in the style of a strava heatmap.

How to visualize your personal citibike data:

1. Download your data from the citibike website following the instructions here: https://github.com/fhoffa/code_snippets/tree/master/baywheels
2. Get a Google API key, and run generate_routes.py to use the Google Maps Routing API to find approximate the routes between station pairs
3. Run raster.py to generate a raster heatmap (see citibike_raster.png for an example), or python3 -m http.server + open jitter.html in your browser to view a SVG heatmap with configurable jitter.

How to visualize global citibike data:

1. Download the dataset of choice from here: https://citibikenyc.com/system-data
2. Run sample_global_data.py to extract a random sample of rides (I don't recommend more than 10k rides, because the Google Maps API is only free for the first 10k calls a month)
3. Get a Google API key, and run generate_global_routes.py to use the Google Maps Routing API to find approximate the routes between station pairs.
4. Run raster.py to generate a raster heatmap (see citibike_global_raster.png for an example), or python3 -m http.server + open jitter_global.html in your browser to view a SVG heatmap with configurable jitter.