M5 - Data Visualization

Learning Goals

• Learn how to perform simple data visualizations in the R package ggplot
• Develop skills to adjust aesthetics and layers in graph
• Explore the decision tree framework (from Data to Viz) for appropriate graphing methods
• Learn how to perform advanced edits on ggplot objects to follow best practices for data visualization

New Data Documents

We are going to upload some new datasets to our workspace in a folder called “Processed_KEY” within your Data folder. These files are contained in the zip file linked here: Processed_KEY.zip. Use the instructions below on how to get these files in the correct place in your repository.

• For desktop users (Windows & Mac):
  • Download the file and unzip it into your Data folder
  • When complete, commit all the files to your Git repository and push
• For container users:
  • Download the file to your local machine
  • In your RStudio container, navigate to the Data folder
  • Upload the zip file; it will automatically unzip
  • When complete, commit all the files to your Git repository and push

Lesson Documents

Download these and import into the Lessons folder of your workspace:

• 05_Part1_DataVisualization.Rmd
• 05_Part2_DataVisualization.Rmd

Lab Documents

• 05Lab_DataVisualization.Rmd

Assignment

• A05_DataVisualization.Rmd

Recordings

• Grammer of graphics: Plotting continuous data
• Scatterplots; box plots
• Violin plots, frequency polygons
• Themes, additional geoms, axes labels
• Color palettes; multiple plots; saving plots

Additional Resources

• From Data to Viz web tutorial and exploration app: https://www.data-to-viz.com/

• Data Visualization cheat sheet: https://raw.githubusercontent.com/rstudio/cheatsheets/main/data-visualization.pdf