Bold: Variable names to change.

Italic: Details required

This repository contains code and data for forecasting the United States 2020 Presidential election. It was created by Boyu Cao & Ziyue Yang. The purpose of this project is to summarize the results based on the statistical models we built.

Note that data sets are not included, since the public distribution of those data sets are prohibited; nonetheless, we provided the details below on how to get those data on your own.

The sections of this repo are: inputs, outputs, scripts.

Inputs contain data that are unchanged from their original. We use two datasets:

• [Survey data - detail how to get the survey data.]
• [ACS data - detail how to get the ACS data.]

Outputs contain data that are modified from the input data, the report and supporting material.

• model
• paper
  • paper.pdf
  • paper.rmd
  • reference.bib

Scripts contain R scripts that take inputs and outputs to reproduce the results:

• 01_data_cleaning.R
• 02_data_preparation.R
• build_model.R
• compute.R