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

3ff2bc1 · Jul 9, 2017

History

69 Commits
Dec 24, 2016
Dec 20, 2016
Nov 29, 2016
Dec 16, 2016
Dec 13, 2016
Dec 1, 2016
Jul 9, 2017
Dec 11, 2016
Jul 9, 2017
Dec 24, 2016
Dec 20, 2016
Dec 14, 2016
Dec 16, 2016
Jul 9, 2017
Nov 29, 2016
Dec 5, 2016
Dec 5, 2016
Dec 16, 2016
Dec 4, 2016
Nov 28, 2016
Jan 3, 2017
Nov 28, 2016

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.