Data Storytelling
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  1. 4. What gets counted counts and Introduction to
  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

  • 1. Practice R
  • 2. Bechdel
  • 3. Find data

Assignment 3

There are three pieces to this assignment:

1. Practice R

Complete the following tutorials (nothing to turn in): Working with Tibbles Isolating Data with dplyr Deriving Information with dplyr

2. Bechdel

For this assignment you will explore a data set created by FiveThirtyEight on the Bechdel test.

You can find the assignment in our positCloud site.

As usual, make sure to include your name in the YAML, and after completing the assignment, please export all files as a zip, and email them me.

3. Find data

Explore the list of repositories of data sets on our resources page, and find one that is of interest to you (and relates to our course theme). Then, learn about what the data set contains and post a summary on teams, along with a potential question you could ask of the data set.

 
 
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