R Data Wrangling and Manipulation: Parts 1 of 2

In this workshop, we provide practical guidance on data wrangling using R’s tidyverse suite of packages. In Part 2, we cover how to wrangle messy data into tidy data.

After this workshop, you will be able to:

• Use tidyverse functions for transforming your data to be used for visualization and analysis
• Identify how an “untidy” dataframe gets in the way of data visualization and analysis
• Use pivot_longer and pivot_wider to wrangle a dataframe into “tidy” form, and join multiple dataframes

Prerequisites: D-Lab’s R Fundamentals or equivalent knowledge; previous experience with base R is assumed.

Workshop Materials: https://github.com/dlab-berkeley/R-Data-Wrangling

Software Requirements: Installation Instructions for R and RStudio