- 21 Feb, 2014: Updated everything for revised Divvy Data.
- 16 Feb, 2014: Initial Upload.
Developed by Christopher Baker in collaboration with the openLab at the School of the Art Institute of Chicago.
This toolkit consists of a collection of examples, preprocessors and tools to support work on the http://divvybikes.com/datachallenge data set.
The goal of this toolkit is to provide a basic foundation for building data visualizations using the 2013 Divvy Bike data.
For questions, leave an issue here or join the conversation @ https://talk.olab.io.
The raw data is included in this repository in the data folder. Please see the raw data README.md for a discussion of some current issues with the data.
The DataPreprocessor is a Processing sketch that makes it easy to pre-process the raw Divvy data. See the README.md for more information.
The DIY API is a way to let your visualization project search the Divvy bike data using simple search parameters. Here are a few examples:
Select the first page of 25 results for for trips between 2013-06-01 and 2013-07-01 for males over the age of 50:
To get results 26 - 50 from the same query:
To get all trips taken by 33 year old females:
See the README.md for DIY API installation instructions and query parameter documentation.
Descriptions coming soon. See code comments for the moment.
- Divvy Data Document
- Explains the fields, etc.
- Divvy Station Distance Tables
- Supplementary distance data.
- http://chicagocrashes.org/
- A map that examines pedestrian / cyclist vs. auto crashes in chicago.
- https://bikesharingdata.hackpad.com/
- A lot of bike-data resources collected by @stevevance.