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Eager to analyze data? This hands-on experience will help you organize and format finance 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

Activity expectations

  • Code-along with instructor: 55 min.
  • Solo/Group practice: 25 min.
  • Lecture: 10 min.


  • Install R and RStudio OR use the Lippincott Library’s on-site computers
  • Install packages in R: install.packages(c("dplyr", "tidyr", "plyr"))
  • Get comfortable creating and referencing objects in R

Registration is required. There are 14 in-person seats available. There are 18 online seats available.

Related LibGuide: R for Business Guide by Kevin Thomas

Wednesday, September 4, 2024
12:00pm - 1:30pm
Yablon Financial Resources Lab, room 244
Lippincott Library
R, data

Event Organizer

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