Data Sets from old Design Challenges

Here are some pointers to the old Design Challenges that provide data sets.

  • Fall 2021 - Design Challenge 1 Data Sets

    • Spotify
    • College Scorecard (heavily processed)
    • Census Data by County
    • Time Usage Survey
  • Fall 2020 - DC1 Data Sets

    • Census Data
    • Airline On-Time Performance
    • Time Usage (how people spend their time)
    • IMDB movie data
  • Fall 2019 - DC1 Data Sets

    • Airline ontime performance
    • Census Data by Country
    • Beijing Air Quality
  • Fall 2018 - DC1 Approved Data Sets - this year we had a diverse and long list with lots of options.

    1. Government Data
      • White House Budget Data
      • Airline On-Time Performance
      • Nationwide Crime Data
    2. Census Data
      • Census Data By County
      • Detailed Census Data
    3. Other Datasets
      • Time Usage Survey
      • Beijing Air Quality Data
      • UN Refugee Data
      • Midlife in the United States Data
      • AirBnb Data
      • IMDB Movie Data
      • Yelp Data
      • Lending Club Loan Data
      • World Health Organization Data
    4. Approved Student Recommended Data Sets
      • India Socio Economic Data
      • College Scorecard Data
    5. Old Datasets that you CANNOT USE
      • Basketball Players
      • Metropolitan Area Population Change
  • Fall 2017 - Design Challenge 1: Data Sets

    1. Data Sets from Old Classes
      • White House Budget Data
      • Airline On-Time Peformance
      • Nationwide Crime Data
      • Census Data By County
      • Time Usage Survey
      • Detailed Census Data
      • Basketball Players
    2. Student Contributed Data Sets (from 2017 Spring)
      • Beijing Air Quality Data
      • UN Refugee Data
    3. Student suggested Data Sets from 2017 Fall
    4. Old Datasets that you CANNOT USE
      • Metropolitan Area Population Change
  • Spring 2017 - Design Challenge 1: Data Sets - This is basically redundant with the ones above, except that it includes the crime FBI crime data, and early versions of the “standard” data sets (air travel delays, ATUS, …)