Description

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.

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