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Franchise Revenues

✓ Published0🌍 Public
Vvwm
Last edited Sep 17, 2019
Created on Sep 4, 2019

Franchise Revenues summarizes the contents of a CSV file describing franchise revenue by category, media source, and creation year. The visualization displays three quantitative summary statistics: the file size in kilobytes, total row count, and column count. Using the D3 v5 API, this example loads the remote dataset with `d3.csv`, formats the response with `d3.csvFormat` to compute the size, and renders the resulting figures as plain text within a `<pre>` element. The data originates from Tidy Tuesday’s July 2019 franchise revenue dataset.

AI-generated description

This Franchise Revenue dataset originates from R for Data Science's Tidy Tuesday weekly event for July 2, 2019. It describes franchise revenue by revenue category, the original media source, and the year the franchise was created.

Questions for consideration:

  • How does revenue by revenue category change over time?
  • How does the age of a franchise correlate with its total revenue?
  • Is there a correlation between the original media type and the relative success of a franchise?

Revenue category and original media type are categorical. Revenue is quantitative.

MIT Licensed

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