Scraped data from the 2016 U.S. Election (President, Senate, House, Governor) and primaries, ballot measures and exit polls

Data and code supporting BuzzFeed News' evaluation of forecasters' predictions for the November 2016 U.S. presidential and Senate elections.

2016 Election Data Hackathon, Bay Area WiMLDS

Repository for public code and data associated with the paper "Fake News on Twitter During the 2016 U.S. Presidential Election

Hong Kong Election Data 2016

Explore data released by NBC News from their investigation into Russian Twitter Trolls around the 2016 US election

Data and code for "Polling bias and undecided voter allocations: US Presidential elections, 2004 - 2016"

Lucid's polling data collected during the 2016 U.S. presidential and senate elections

Function to scrape, format, and plot forecaster data for the 2016 U.S. Presidential Election

A collection of R scripts for analyzing Twitter data related to Russian bot activity during the 2016 election.

This code is part of a project (for me) to learn Python through the NYU-Stern-Econ databoot camp course (http://databootcamp.nyuecon.com/). It combines US 2016, 2012 Election data at the county level with Census data on education and earnings, and then the Autor, Dorn, and Hanson (2013) US Trade Exposure from China data.

Analyzing social media data associated with the Russian influence campaign during the 2016 election

A data-driven webapp for Twitter metrics for the Philippines Election 2016 presidential candidates

This repository holds the codebook and data for the 2016 Scottish Election Study. Data are in .dta format for your convenience.

A Bayesian analysis of polling data and historical voting records to try to predict the outcome of the 2016 U.S. Presidential election.

Demo for Women in Software and Analytics Meetup - 09/02/2015

Analysis of the FEC 2016 Elections data.

2018 midterm election back-end: Associated Press data ETL, database, admin panel, and JSON output; iteration upon 2016 GE work

Developed a machine learning program to identify when an article might be fake news using the principles of NLP. The data used is the 2016 US Presidential Elections News data from Kaggle.

This is a repo with DC voter data. It was created at DC Open Data Day 2016 to help the DC Board of Elections with the question -- we want more voters to use available early voting centers in order to reduce the possibility of long lines at polling stations on Election Day and to maximize the investment of public dollars to run early voting centers. Using past voting patterns, can we determine where and to whom we should be promoting early voting?

This Power BI project analyzes US presidential elections from 2000 to 2016, providing insights into voter turnout, state-wise party trends, electoral votes, and historical shifts. The interactive dashboard visualizes key election data, including candidate comparisons, sponsorship details, and voting patterns, making it a powerful tool for political

In this project I am using publically available data on the 2016 US Election to see how well the outcome could have been predicted at a county level. I will use a number of models, increasing in complexity, from K-Nearest Neighbor to a Tensorflow Neural network, to see which approach is best. Results and analysis are at the bottom of the notebook

The objective is to implement a Naive Bayes classifier to predict whether a tweet was posted by a Republican or Democrat politician. The training data consist of about 13K tweets collected before the 2016 US presidential elections, There are about an equal number of Republican and Democrat tweets, and the tweets belong to three republican and three democrat twitter accounts.

Sentiment Analysis of Twitter Data for US Elections 2016

Presidential General Elections Data 2000 through 2016

A source for data about the 2016 United States Presidential election. Includes a "candidates" endpoint.

2016 Presidential Election Data

Using wikileaks and other data sources to look at candidates for the upcoming Australian Federal Election in 2016

This is a Shiny App that allows users to interactively explore PredictIt data regarding the US 2016 Presidential Election

US 2016 Presidential Election Data and Analysis