Python 3: Data cleaning and visualization (repeat)

  • Event: 2019 CAR Conference
  • Speaker: Jacob Quinn Sanders of Factal
  • Date/Time: Sunday, Mar. 10 at 11:30am
  • Location: Salon 5
  • Audio file: No audio file available.

Now that you’ve got a handle on pandas, it’s time to jump into some advanced topics. You know how to import a dataset, but what happens when you load the data and nothing looks right? We’ll walk through cleaning up a dirty dataset with pandas. Then we’ll jump into the fun part: visualizing the data you’ve analyzed with matplotlib.

This session is good for: People who can load and perform basic summary and grouping functions in pandas.

Speaker Bios

  • A versatile reporter and editor for more than a decade before becoming a software developer, Jacob Quinn Sanders covered, supervised and built technology around news and real-time events across the U.S. He reimagined crucial workflows and content strategies at Western Pennsylvania's largest news operation. After a jump into tech, he wrote software relied on during disaster responses and wrangled unverified floods of information into data that can help save lives. @thejqs

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