https://github.com/jayqi/sf-walk-safety
A data-driven examination of pedestrian safety in San Francisco.
https://github.com/jayqi/sf-walk-safety
Last synced: 5 months ago
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A data-driven examination of pedestrian safety in San Francisco.
- Host: GitHub
- URL: https://github.com/jayqi/sf-walk-safety
- Owner: jayqi
- Created: 2016-03-20T23:46:09.000Z (about 10 years ago)
- Default Branch: master
- Last Pushed: 2019-04-28T05:44:07.000Z (about 7 years ago)
- Last Synced: 2025-02-03T21:45:54.997Z (over 1 year ago)
- Language: HTML
- Homepage: http://sfwalk.jayqi.com
- Size: 22.7 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# SF Walk Safety
A data-driven examination of pedestrian safety in San Francisco. Visit http://sfwalk.jayqi.com.
If something is broken, you can find a static html mirror at http://sfwalk-static.jayqi.com.
## Walking in San Francisco
Walking is a common part of living in San Francisco. According to the SFMTA, over one million walking trips happen in the city each day—over a quarter of all trips. Walking is an important component to a healthy lifestyle, and it is a great way to get to know the city intimately.
This project takes a look at open government crime and traffic collision data relevant to pedestrian safety in the city. Three classes of incidents are examined: thefts, robberies, and traffic collisions. We present interactive maps and visualizations to inform residents about these incidents in their city. We also use statistical analysis and machine learning to gain deeper insights and model the patterns underlying these incidents.
This project was developed as part of [the Data Incubator](https://www.thedataincubator.com/), an eight-week data science fellowship program for training advanced-degree graduates to enter industry.