An open-source, community oversight dataset of all U.S. Prosecutors. Happy Hacktoberfest 🎃
🇺🇸🏁 Draw a beautiful county-level election results map with only a few lines of code
Website that allows you to see what the outcome of the US elections could have been if different seat allocation algorithms were used.
Predicting US Presidential Election 2020 Result Using Twitter Sentiment Analysis with Python.
Predicting election results by county for the 2016 US general election with machine learning in R.
Visualization project based on FEC records with a particular focus on candidate donor overlap and mapping donors to zipcode demographics.
fake bot detection, evolution of bots, cluster analysis, US election twitter data, social media mining, influence of twitter bots on 2016 US election
What happened in the 2016 US Elections? What kind of population in the United States voted for Democrats and Republicans?
This app displays seasonal patterns by election cycle for your selected stock using hirsch-style.
Pollsters poll the public, Impostor polls the pollsters
Political observatory for US 2020 election using twitter data.
Modelling and forecasting US election outcomes 🗽 ELT in python 🐍 OLS in Stata 🔢
This repository includes code for a predictive model I created which classifies counties that Trump won and a data exploration tool that plots the Trump county score along with a number of demographic variables over a county-level map of the US.
Analysis twitter network of 2016 US troll account using degree, centrality, betweenness, modularity, etc.
🇺🇸 US 2024 Election Prediction - Simulating the US 2024 Election by using a MCMC and Bayesian Hierachical Model
Exploratory Data Analysis of contributions from Texas for 2016 US presidential election data. Udacity EDA course project.
So You’re Planning to Vote In Fascist America
Code for collecting and cleaning speeches (text) of the US 2020 election campaign. Corresponding publication: "A text dataset of campaign speeches of the main tickets in the 2020 US presidential election", by Ioannis Chalkiadakis, Louise Anglès d’Auriac, Gareth W. Peters, and Divina Frau-Meigs
Python Visualization notebook using data from US Election 2020 Tweets ·
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