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  • Workshop

R Basics: Prepare Data for​ Modeling and Analysis

This workshop provides techniques for organizing both numeric (numbers) and character (text) content in R such that learners could generate outcomes from standard statistical or machine learning models.

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September 9, 2026, 12:00pm - 1:30pm
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Hybrid: Online and at Yablon Financial Resources Lab, Room 244, Van Pelt-Dietrich Library Center
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Open to Penn Students, Faculty, and Staff
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Hosted by: Lippincott Library

Description

This workshop is intended for Penn undergraduate students, graduate students, predocs, postdocs, faculty, and staff who have begun programming in R and want to work with real-world data. The session is suited to learners interested in using R as a digital tool for assignments, research, teaching, service, or the job market. This workshop provides techniques for organizing both numeric (numbers) and character (text) content in R such that learners could generate outcomes from standard statistical or machine learning models.

After this workshop, learners should be able to

  • Import and wrangle real-world data
  • Explore data properties
  • Format data for statistical tests or machine learning

Expectations

  • Code-along with instructor: 60 min.
  • Solo/Group practice: 20 min.
  • Lecture: 10 min.

Requirements

  1. Prerequisite: This workshop expands on skills introduced during Get Started in RStudio. Learners who attended this prior session or learned its skills elsewhere are welcome.
  2. Install R and RStudio OR plan to use the Lippincott Library’s on-site computers
  3. Install packages in R: install.packages(c("dplyr", "tidyr", "plyr"))

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