Data @ Reed

R Resources

Brand New to R? 

• Intro R videos

Loading Data

• From a package
• From a .csv (with readr)
• From Excel (with readxl)
• From Google Sheets (with googlesheets4)
• From the internet (with rvest)

Wrangling Data

• Tidy data principles
  • Tidying example
  • Restructuring with pivot_wider() and pivot_longer()
• Transforming data with dplyr
  • Subsetting data with filter() and select()
  • Creating new columns with mutate()
  • Summarizing data with group_by() and summarize()
  • Arranging rows with arrange()
  • Frequency tables with count()
• Combining data
• Working with text data with stringr
• Advanced wrangling

Presentation and Visualization

• Intro to data visualization with ggplot2
  • Scatterplots
  • Linegraphs
  • Barplots
  • Histograms
  • Boxplots
• Making informative and readable graphs
• Graph customization
• Refactoring levels in plots
• Extensions of ggplot2
• Summary tables

More Resources

• Troubleshooting
• Additional online resources
• Hive mind: forums and asking questions
• Archived R documentation

Data @ Reed resources are authored and maintained by the Data@Reed team.