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R Basics: Prepare Data for Modeling and Analysis​

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

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September 4, 2024, 12:00pm - 1:30pm
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Hybrid: Virtual and in-person 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

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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. Learn to import and wrangle real-world data, explore data properties, and format data for statistical tests and machine-learning.

Activity expectations

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

Prerequisites

  • 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

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