CDJ-Campaign-Trails

All the files and programs used to build the website and images used in Campaign Trails

Built with

• HTML, CSS, JS:
  • Used to produce the webpage and interactive elements
• R (ggplot and gganimate)
  • Used to make the animated visuals of campaign visits
• Python (sklearn)
  • Used to produce a Logistic Regression model of win probability
• Figma
  • Used to make hand-drawn visuals that were uploaded to the webpage
• Excel
  • General use for organization of CSVs and quick analysis
• Raw Graphs
  • Website used to produce reference bubble charts for campaign cities
• Google Newspaper Archive
  • Archive used to obtain certain newspaper clippings used on webpage
• CLOC
  • Used to obtain metadata about the project's code

Sources used

• Plotly: Used to obtain population statistics for 1,000 U.S. cities
• Campaign Visits Database: Resource created by Christopher J. Devine containing campaign visits from 2008 to 2020
• p2004.org: Website manually scraped to compile campaign visits for the 2004 election
• Vote Hub: Page used to manually scrape campaign visits for the 2024 election
• Odyssee: Previous Cornell Data Journal project mainly used for webpage inspiration
• FiveThirtyEight: Visual inspiration for past-election animated maps

Metadata

• 2216 lines of hand-written code
• 16 R files
• 30 CSVs
• 4688 CSV rows
• 53 images

Contributors

Project lead:

• Nikhil Chinchalkar

Team members:

• Ella Sanchez
• Natalie Miller
• Shashank Kalyanaraman
• Vivian Guo

Acknowledgments

• Cornell Data Journal for the platform