Opportunity Insights data

[havishak]

• This dataset has not already been used in TidyTuesday.

• The dataset will (probably) be less than 20MB when saved as a tidy CSV.

• I can imagine a data visualization related to this dataset.

• title: Opportunity Insights Data (contains multiple dataset)

• article:

  • title: Economic diversity and student outcomes at City College of New York
  • url: https://www.nytimes.com/interactive/projects/college-mobility/city-college-of-new-york

• data_source:

  • title: Opportunity Insights Data Repository
  • url: https://opportunityinsights.org/data/ (there's also a Github repo)
    The one in the article is 'College-Level Data for 139 Selective American Colleges '

• images: One or more images related to the dataset. For each image, provide:

  • file: https://www.nytimes.com/interactive/projects/college-mobility/city-college-of-new-york
  • alt: Shows parent income for students attending City College of New York. 23% of students who attend City College of New York have parents in the bottom 20% of the income quantile whereas 15% of students have parents in the top 20%.

• cleaning_script: A script to fetch and clean the data, resulting in one or more data.frames (or equivalent structures) that can be saved as CSVs.
  It's already clean.

[lgibson7]

@jonthegeek it looks like this one may be ready to go. Per @havishak, no cleaning script is needed.

[havishak]

Thanks @jonthegeek for completing the PR request for this!
After playing with the dataset for TidyTuesday, I realized that the data in the NYT article had more variables, so my guess is that multiple datasets were merged to create those visuals. Sorry for any confusion.

[jonthegeek]

@havishak That's fine! We had enough data for people to make visualizations, even if it wasn't ALL of the data. If you think it would be a good idea, feel free to open another issue for other aspects of that dataset, and/or submit a PR! We probably won't go back to it RIGHT away, but it wouldn't hurt to revisit it if there's more to explore!