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CountY: a Closer Look

A TEAMe project (Daniel Chung, Edward Lee, Henry Koelling)

This website allows users to easily search regions of the United States, whether a county, state, or the nation at large, and view the distribution of their votes from the 2016 presidential election.

Tech Stack

  • Language: Python 3.8, JavaScript
  • Framework: Flask
  • Hosting: PythonAnywhere, running uWSGI
  • Database: MySQL. Made trivial migration from PostgreSQL to eliminate hosting fees

Intended Audience

👩‍🏫 teachers passionate about history- or political science-related subjects
👩‍🎓  students interested in American government or political science
👩‍💻 campaign managers for candidates running for political offices
💑 relocating homeowners and families who consider the local political climate when looking at a home
👶 newly eligible voters for local, state, and federal elections

Goals

  • Whet the appetite for more knowledge particularly for educators interested in 2016 voting tendencies.
  • Present reliable data and visual representations students can trust.
  • Graphically display key voter distributions to conduce successful campaign strategies.
  • Make navigation quick and easy for homeowners and heads of households with someplace to be.
  • Be generally appealing to positively influence public curiosity in local politics.

Roadmap

Functional

  • Search for voter information based on geographic location (country, state, county)
  • Search for voter information based on race, ethnicity, or socioeconomic background
  • Option to view data in different styles and outputs (graphs, maps, spreadsheet/table)
  • Streamlined access to citation/bibliographic information
  • Graphics have the option to switch to a colorblind friendly scheme

Nonfunctional

  • Search/Browse feature easily navigable
  • Graphs clear and uncluttered, without unnecessary correlations or trends
  • Graphics have appropriate legends
  • Graphics have appropriate color differentiation between different variables
  • Clearly indicate what each visualization represents

Source

SETUPS: Voting Behavior: The 2016 Election (ICPSR 36853)

Citation

Prysby, Charles, Scavo, Carmine, and American Political Science Association. SETUPS: Voting Behavior: The 2016 Election. Inter-university Consortium for Political and Social Research [distributor], 2018-10-25.

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