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Analyzing Census Data with Pandas


Census 2020 is coming!

Did you know the government budgeted 12.5 billion dollars to count EVERY SINGLE PERSON IN THE COUNTRY in 2020? Imagine how much data you could acquire with 12.5 billion dollars.

Not so excited about Census data? How about cool pandas tricks?


In this tutorial you will go from a simple data exploration and analysis workflow to learning more advanced techniques social scientists apply when dealing with Census data.

If you've been interested in honing your pandas skills or you'd just *love* to learn how to calculate the demographically-adjusted employment rate gap for your county using python, well you've come to the right place.

This tutorial is perfect for novice data analysts, pythonistas, social scientists, and journalists that want to learn about the powerful pandas library and how to use it to analyze public use micro-data, and for those who've been using it but could learn a trick or two to make their workflow even more effective.

Does the acronyms ACS, CPS, PUMA, or IPUMS mean anything to you? If not, the more reason to join! Come learn something new!

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