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Eager to analyze data? This hands-on introduction will help you organize and format data, supporting your modeling or machine learning workflow.

  1. Import and wrangle real-world data​​

  2. Explore data properties​​

  3. Format data for statistical tests and machine-learning

Note: Ensure you can run R and RStudio (or use our on-site computers) as well as these packages: dplyr; tidyr; plyr.

Registration is required. There are 15 in-person seats available. There are 29 online seats available.

Related LibGuide: R Software for Business Guide by Kevin Thomas

Wednesday, September 14, 2022
12:00pm - 1:30pm
Yablon Financial Resources Lab, room 244
Lippincott Library

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Kevin Thomas
R Basics: Prepare Data for Modeling and Analysis​​