24h of crime in LA

**Pro-tip**: do not hesitate to pause and scroll through the animation ! Still a WIP, but I'm making progress with OpenData (after some [tests with NY](https://skfb.ly/6LUFv)), and decided to explore the dataset of the [arrests in Los Angeles from 2010 to present](https://data.lacity.org/A-Safe-City/Arrest-Data-from-2010-to-Present/yru6-6re4/data). I animated the data by regrouping the arrests according to the time of the day (each frame represents 15 min, and the animation starts at midnight), and regrouped them under 7 distinct categories (c.f. annotation). Some interesting patterns might be related to: * partying and fighting in Hollywood and Downtown LA (big bright spots) * alcohol and drug consumption late at night (red roads) * prostitution and gambling on the boulevards (bright blue lines) * pick-pockets at touristic places? (turquoise spots) * ... What I'd like to try next: * Animated legends for readability * "Time of day" system * Better layering: is 3D really relevant for such datasets ?