Data Stories

The homework assignments in this class are six data stories and one project. The data stories are due every two weeks, Sunday at midnight Eastern time. The data stories involve developing a series of visualizations with the aim of communicating specific insights about a given dataset. The data stories may also have a few questions related to your visualizations and the data.

The data stories should be submitted in the form of a reproducible quarto report or presentation, accompanied with a rendered PDF file or a link to a rendered html file (do not submit html files to brightspace). You may write code for your visualizations in either ‘R’ or ‘python’.

The last story involves finding your own dataset, creating your own data story using it, and publishing this story as an interactive shiny app on ‘posit.cloud’/‘shinyapps.io’. The 6 data stories are collectively worth 80% of your grade, and the final project is worth 20%. You may resubmit your data stories one time each to receive additional/partial credit in response to suggested corrections or improvements.

  1. Story 1: Housing Policy and Affordability (Template) ) - due Sunday, September 13
  2. Story 2: Can the FED Control Inflation and Maintain Full Employment? (Template) - due Sunday, September 27
  3. Story 3: What accounts for state-wide disparities in traffic fatalities? (Template) - due Sunday, October 11
  4. Story 4: High Revenue Airbnbs in NYC (Template ) - due Sunday, October 25
  5. Story 5: What Factors Determine Housing Prices in Ames, Iowa? - due Sunday, November 8
  6. Story 6: Customer Segmentation at Instacart - due Sunday, November 22
  7. Story 7: Telling a Data Story with Shiny - due Sunday, December 13

Sample Data Story

To see an example of what a finished data story looks like, see this sample: Electricity and Carbon Over Time (PDF) (quarto source).