censusdis 0.99.6

US Census utilities for a variety of data loading and mapping purposes.

censusdis

Note:

For the full README, please visit the censusdis source repository.

Introduction

censusdis is a package for discovering, loading, analyzing, and computing diversity, integration, and segregation metrics to U.S. Census demographic data. It is designed to be intuitive and Pythonic, but give users access to the full collection of data and maps the US Census publishes via their APIs. It also avoids hard-coding metadata about U.S. Census variables, such as their names, types, and hierarchies in groups. Instead, it queries this from the U.S. Census API. This allows it to operate over a large set of datasets and years, likely including many that don't exist as of time of this writing. It also integrates downloading and merging the geometry of geographic geometries to make plotting data and derived metrics simple and easy. Finally, it interacts with the divintseg package to compute diversity and integration metrics.

Tutorial

If you are interested in a tutorial, please see the censusdis-tutorial repository. This tutorial was presented at PyData Seattle 2023. If you want to try it out for yourself, the README.md contains links that let you run the tutorial notebooks live on mybinder.org in your browser without needing to set up a local development environment or download or install any code.

Tutorial Video

A 86 minute video of the tutorial as presented at PyData Seattle 2023 is also available.

More Details

For the full README, lots of maps, demo notebooks, and more, please visit the censusdis source repository.