clintonb / OakCrime

Code supporting citizen analysis of crime in Oakland, CA

OakCrime

Code supporting citizen analysis of crime in Oakland, CA

Primary bits involve:

• importing data from Oakland Police Department (OPD), an early data set from Urban Strategies Council, and Alameda County

• crimeCat: software defining and building an ontology of crime types useful with OPD data and perhaps beyond!

• showCrime, a django site for visualization of historical crime data

• stopData, visualization of discretionary stop data

Prequisites

We assume you already have these installed:

• Python 3.6+
• Postgres

Continuous integration

We're using CircleCI for continuous integration (CI). Continuous integration automatically tests that any new changes work correctly before they are fully integrated. This provides a faster feedback loop and helps prevent bugs or mistakes from getting caught late in development.

Contributing

Thank you for considering a contribution to our project! Please see CONTRIBUTING.md on how the OakCrime team works and how you can contribute.