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
We assume you already have these installed:
MacOS users: you'll find most of these tools in Homebrew.
The main project is the django application. Please follow the instructions in showCrime/README.
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.
We use continuous delivery (CD) to automatically deploy our application. This reduces the risk of human error and makes sure the latest version of the application is deployed correctly.
Thank you for considering a contribution to our project! Please see CONTRIBUTING.md on how the OakCrime team works and how you can contribute.