Skip to content

2016 General Election, A Geographic and Demographic Analysis - Using Data Visualization and Machine Learning in R to study and model 2012 and 2016 general election voting patterns

License

Notifications You must be signed in to change notification settings

theNathanLin/election2016

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

69 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

election2016

2016 Election Demographic Analysis

Anthony Nathan Lin, Mansoor Syed, Andrew Ton

Our Mission

Using Data Visualization and Machine Learning in R to study and model 2012 and 2016 general election voting patterns.

Output

Our primary two files to conduct analysis: 'Lin_Ton_Syed_FinalElectionProject.R' and 'Lin_Ton_Syed_FinalElectionProject_ML.R'

Web Visualizations

Our webpage is located at https://github.com/theNathanLin/election2016. Navigate here to find interactive graphics from R Markdown output. Additionally, cross-tables and machine learning model output can be found here.

Releases

Additionally, view our releases (https://github.com/theNathanLin/election2016/releases) to download a ZIP of our finalized code and output.

About

2016 General Election, A Geographic and Demographic Analysis - Using Data Visualization and Machine Learning in R to study and model 2012 and 2016 general election voting patterns

Topics

Resources

License

Code of conduct

Stars

Watchers

Forks

Packages

No packages published

Languages