R for Data Science: Data Analysis in Practice (Part 2)
Hosted by Fleishman Center for Career and Professional Development
In 1.5 focused hours, you’ll learn: How to wrangle data using tidyverse — select, filter, mutate, arrange How to group and summarize datasets with dplyr How to clean messy string data with stringr How to visualize results with ggplot2 This is a continuation of our Oct 7 R workshop — we’ll finish the exercises we started and push further into hands-on data analysis. No prior R experience required. Bring your laptop with R and RStudio installed (both free at r-project.org and posit.co). If you anticipate a need for disability-related accommodations or auxiliary aids to attend or participate, please contact The Fleishman Center for Career and Professional Development at…
Source: B-Engaged