Agate for data analysis in Python (repeat session)
In this hands-on session we'll introduce you to programmatic data analysis with the agate module for Python. We'll go through the basics—reading CSV files, transforming data, and running basic statistical analysis—while leaving plenty of room for your questions. This session is ideal for folks with some Python experience, especially those who've reached the limits of what they can do with tools like csvkit, but find pandas and numpy bewildering.
Christopher Groskopf is the Data Editor at Quartz where he uses and teaches data analysis techniques for news. He is also the author of of the Quartz Guide to Bad Data and the creator of open source tools such as csvkit, agate, and proof. Previously, Chris worked on the NPR Visuals team, built the PANDA Project, and wrote code for the Chicago Tribune. He lives in Tyler, TX.
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