Data Storytelling
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  1. 9. Mapping data to graphics
  2. After class assignment
  • 1. What is Data Storytelling?
    • Before class materials
    • After class assignment
  • 2. Data Storytelling Examples
    • Before class materials
    • After class assignment
  • 3. Graphic design and storytelling principles
    • Before class materials
  • 4. What gets counted counts and Introduction to
    • Before class materials
    • After class assignment
  • 5. Finding data sources and cleaning
    • Before class materials
  • 6. Finding data sources and cleaning ctd.
    • Before class materials
  • 7. Exploratory Data Analysis
    • Before class materials
    • After class assignment
  • 8. Application: Exploring County Census Data
    • Before class materials
  • 9. Mapping data to graphics
    • Before class materials
    • After class assignment
  • 10. A toolbelt of techniques
    • Before class materials
  • 11. Class Canceled!
  • 12. Group Work and Remix
    • Before class materials
  • 13. Choosing the Right Visual
    • Before class materials
  • 14. Guest and decluttering
    • Before class materials
  • 15. Decluttering in ggplot
    • Before class materials
  • 16. Sidequest: Mapping in R
    • Before class materials
  • 17. Building a Narrative
    • Before class materials
  • 18. Narratives in Data Journalism
    • Before class materials
  • 19. Interactives
    • Before class materials
  • 20. Audience Impact
    • Before class materials

On this page

  • Grammar of Graphics
  • Data Viz Catalog

Assignment 5

Grammar of Graphics

Make a graph using the county census data set. You can use any geom you like, but you must map a variable to color.

Once you are done, save your graph using the command: ggsave("yourfilename.png"). Insert this after your ggplot code and obviously replace “yourfilename” with a good name for your plot!

Data Viz Catalog

Pick a data viz from Data Viz Catalog and be ready to summarize what the chart is, and when it might be useful in roughly 1 minute in class.

 
 
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