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

Project description

censusdis

Hippocratic License HL3-CL-ECO-EXTR-FFD-LAW-MIL-SV

Introduction

censusdis is a package for discovering, loading, analyzing, and computing diversity, integration, and segregation metrics to U.S. Census demographic data.

It can be installed in any python 3.9+ virtual environment using

pip install censusdis

Modules

The modules that make up the censusdis package are

Module Description
censusdis.geography Code for managing geography hierarchies in which census data is organized.
'censusdis.data` Code for fetching data from the US Census API, including managing datasets, groups, and variable hierarchies.
censusdis.maps Code for downloading map data from the US, caching it locally, and using it to render maps.
censusdis.states Constants defining the US States. Used by the three other modules.

Demonstration Notebooks

There are several demonstration notebooks avaialable to illustrate how censusdis can be used. They are found in the notebook directory of the source code.

The notebooks include

Notebook Name Description
SoMa DIS Demo.ipynb Load race and ethhicity data for two twons in Essex County, NJ and compute diversity and integration metrics.
ACS Demo.ipynb Load American Community Survey (ACS) data for New Jersey and plot diversity statewide at the census block group level.
Seeing White.ipynb Load nationwide demographic data at the county level and plot of map of the US showing the percent of the population wh identify as white only at the county level.
Map Demo.ipynb Demonstrate loading at plotting maps of New Jersey at different geographic granularity.
Exploring Variables.ipynb Load metatdata on a group of variables, visualize the tree hierarchy of variables in the group, and load data from the leaves of the tree.

Diversity and Integration Metrics

Diversity and integration metrics from the divintseg package are demonstrated in some of the notebooks.

For more information on these metrics see the divintseg project.

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