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