Introduction to Working with U.S. Census Data in Python
summary
Shows that the Census Bureau exposes 1,300 data sets via APIs, demonstrates using open‑source Python tooling to discover and download ACS variables like B19013_001E (median household income), and runs live notebooks (runnable via mybinder.org) that fetch geodataframes, compute tract/block‑group aggregates, and render choropleth maps. The workflow reveals exact API calls, variable and geography discovery steps, a packaged retrieval layer, and an interactive US map built from the retrieved data so viewers can judge reproducibility and surprising counts.
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chapters (12)
- 0:00Introduction
- 1:23Workshop overview
- 6:01Hello world query
- 11:42Querying multiple states
- 15:10Visualizing state data
- 19:01Exploring county geographies
- 24:58On-spine versus off-spine
- 31:51Available geographies
- 33:37Selecting Census variables
- 45:05Break
- 51:05Case study: Newark poverty
- 1:09:25Q&A
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