The goal of this project is to create a visualization that would show the journey of ford go bikes (based on bike_id) for a full day. This will eventually be a webapp.
If we create a visualization map for each minute and determine the location of the bike for each minute and the stitch all of these, we will have a moving video. This will have to be looped for each minute of the day. New things will have to be calculated as in:
- Last location of the bike, next location of the bike, time elapsed since last location, time to next location
jupyter notebook
- 2019-03-18 22:25:37, Downloaded the data from: https://s3.amazonaws.com/fordgobike-data/index.html
- 2019-03-18 22:28:16, Import data in Jupyter notebook for some summary analysis
- 2019-03-18 22:45:03, Imported data in notebook
- 2019-03-18 22:45:14, Got a quick data count of trips per day
- 2019-03-18 23:18:43, Filter on a day
- 2019-03-18 23:19:09, Counts per bike id for a day
- 2019-03-18 23:22:34, Draw each bike on a map based on starting location