Analysis twitter network of 2016 US troll account using degree, centrality, betweenness, modularity, etc.
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Updated
Apr 10, 2024 - Jupyter Notebook
Analysis twitter network of 2016 US troll account using degree, centrality, betweenness, modularity, etc.
An open-source, community oversight dataset of all U.S. Prosecutors. Happy Hacktoberfest 🎃
Modelling and forecasting US election outcomes 🗽 ELT in python 🐍 OLS in Stata 🔢
Visualization project based on FEC records with a particular focus on candidate donor overlap and mapping donors to zipcode demographics.
An app that returns the address for the SOE office when given a zip-code.
Website that allows you to see what the outcome of the US elections could have been if different seat allocation algorithms were used.
Python Visualization notebook using data from US Election 2020 Tweets ·
Political observatory for US 2020 election using twitter data.
So You’re Planning to Vote In Fascist America
Predicting US Presidential Election 2020 Result Using Twitter Sentiment Analysis with Python.
fake bot detection, evolution of bots, cluster analysis, US election twitter data, social media mining, influence of twitter bots on 2016 US election
🇺🇸🏁 Draw a beautiful county-level election results map with only a few lines of code
Predicting election results by county for the 2016 US general election with machine learning in R.
What happened in the 2016 US Elections? What kind of population in the United States voted for Democrats and Republicans?
Exploratory Data Analysis of contributions from Texas for 2016 US presidential election data. Udacity EDA course project.
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.
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