us-elections

Civic Tech & Data AI For Good project. Tracks prosecutor election messaging, mass incarceration indicators, and historical context. Utilizes Agentic AI for data scraping.

🇺🇸🏁 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 election results by county for the 2016 US general election with machine learning in R.

Predicting US Presidential Election 2020 Result Using Twitter Sentiment Analysis with Python.

Visualization project based on FEC records with a particular focus on candidate donor overlap and mapping donors to zipcode demographics.

This was for myvoterwisdom.com backend.

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?

Pollsters poll the public, Impostor polls the pollsters

This app displays seasonal patterns by election cycle for your selected stock using hirsch-style.

Modelling and forecasting US election outcomes 🗽 ELT in python 🐍 OLS in Stata 🔢

Political observatory for US 2020 election using twitter data.

A Bayesian forecast for the 2026 congressional elections. Woah!

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.

🇺🇸 US 2024 Election Prediction - Simulating the US 2024 Election by using a MCMC and Bayesian Hierachical Model

Analysis twitter network of 2016 US troll account using degree, centrality, betweenness, modularity, etc.

Analysis of the accuracy of U.S. presidential election polls (2008–2024) based on prediction error data. Compares ideal vs. practical polling methodology, presents three contrasting visualizations of the same dataset to illustrate framing effects, and identifies selection/measurement biases with recommendations to improve accuracy.

Exploratory Data Analysis of contributions from Texas for 2016 US presidential election data. Udacity EDA course project.