https://github.com/achenzion/2020_primary_scenario_analysis

RShiny app to simulate (under assumptions) what will happen in the 2020 Democratic primary rankings if/when candidates drop out.
https://github.com/achenzion/2020_primary_scenario_analysis

polls rankings rshiny scenario-analysis

Last synced: 11 months ago
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RShiny app to simulate (under assumptions) what will happen in the 2020 Democratic primary rankings if/when candidates drop out.

• Host: GitHub
• URL: https://github.com/achenzion/2020_primary_scenario_analysis
• Owner: achenzion
• License: mit
• Created: 2019-11-22T07:26:34.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-12-03T04:54:29.000Z (over 6 years ago)
• Last Synced: 2025-06-01T19:18:38.438Z (about 1 year ago)
• Topics: polls, rankings, rshiny, scenario-analysis
• Language: R
• Homepage: https://achenzion.shinyapps.io/2020_Primary_Scenarios/
• Size: 22.5 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# 2020_primary_scenario_analysis [WORK IN PROGRESS]

This is an RShiny app to simulate the 2020 Democratic primary polls if/when candidates drop out.

I am using this project to explore RShiny and answer a question that has bothered me for the entire 2020 Democratic primary: 

How would the poll ranking of top candidates change if the tail candidates (