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Analyzing Categorical Data from the General Social Survey in Python

Key Takeaways:
  • How to create and update the categorical data type in pandas.
  • How to manipulate and aggregate categorical data.
  • How to visualize categorical data.
Tuesday 25 April, 11am ET
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The General Social Survey (GSS) is one of the most important monitors of American societial attitudes and behaviours over the last 50 years. The data is also chock-full of categorical variables to analyze!

In this session you'll analyze a subset of the GSS, exploring American culture and honing your categorical data analysis skills.

Presenter Bio

Justin Saddlemyer Headshot
Justin SaddlemyerWorkspace Architect at DataCamp

Justin is a Workspace Architect at DataCamp. He holds a bachelor's degree in psychology from St. Francis Xavier University, and a graduate degree in social psychology from VU Amsterdam. In 2016 Justin received a PhD in marketing from KU Leuven.

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