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Television Show Ratings

Public visualization

Television Show Ratings

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Vvwm
Last edited Sep 17, 2019
Created on Sep 4, 2019

This example displays basic metadata about a television show ratings dataset, showing the file size, row count, and column count in a large text format. The page loads CSV data from a Tidy Tuesday repository using `d3.csv` and reports the results. The visualization is intentionally minimal, using a `<pre>` element to render the computed statistics rather than drawing charts or graphs. The code also includes commented-out alternatives using `fetch` with `async`/`await` and `d3.csvParse`, demonstrating different approaches to loading and parsing the same data source.

AI-generated description

This Television Show Rating dataset originates from R for Data Science's Tidy Tuesday weekly event for January 8, 2019. It describes television show ratings by season, genre, and release date.

Questions for consideration:

  • Do certain genres garner better ratings when combined with other genres? (Are there "good" or "bad" genre pairings that become evident?)
  • Is there a correlation between the release date and rating?
  • How do ratings tend to change across seasons? (Does this rating change differ across genres?)

Genre is categorical. Rating and share are quantitative.

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MIT Licensed