Posts about data and datasets. This includes how data was gathered and processed and in some cases where readers can download data for use in their own research projects.
I have written about impact charts before (see here, here, and the OG post here), but I have neglected to give them a proper introduction. What are they, exactly? What…
Introduction Most U.S. Census data sets are keyed by geography. Concepts like population, median income, and gender, race, or age ranges of residents are only meaningful when we tie them…
This morning I woke up to an email from the U.S. Census Bureau announcing that the American Community Survey (ACS) 5-Year data for 2018-2022 was just released. This is big…
In an earlier post entitled Command-Line censusdis for Data Pipelines and One-Time Analysis, we discussed how the new command-line interface (CLI) to censusdis can be used to download and manipulate…
censusdis is a package for discovering, loading, analyzing, and computing diversity, integration, and segregation metrics to U.S. Census demographic data. Recently, I found myself writing a number of small scripts…
Impact charts are a tool for visually interpreting the relationships between variables. In this post, we will look at some impact charts generated from a combination of eviction filing data…
One of the design goals of the censusdis project is that as new data sets are added or existing data sets and variables change from year to year, the system…
Introduction There have been a number of well-publicized cases in recent years in which homes belonging to Black families were appraised at substantially lower value than those owned by white…
Thanks to all who attended my tutorial on using U.S. Census data in Python at PyData Seattle 2023. And thanks to the PyData organizers for putting on such a great…
As I mentioned in Join me at PyData Seattle 2023, yesterday I presented a 90 minute tutorial on the censusdis package for querying and working with U.S. Census data in…