Workshop

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

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

Activity expectations

Prerequisites

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