- 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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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