An exploration of historical data on US presidential elections
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Updated
Jun 8, 2018 - Jupyter Notebook
An exploration of historical data on US presidential elections
Breve análise da base de dados publicada pelo Tribunal Superior Eleitoral sobre os votos do primeiro turno das eleições presidenciais no Brasil, 2018.
Building Election Dataset includes data from 172 countries both "Presidential" and "legislative".
Showcase the use of Machine Learning, Python 3, NumPy, Anaconda, Jupyter Notebook, Pandas, sklearn,TensorFlow, Keras, plotly, hv plot, MySQL, ETL, Postgres/pgAdmin, JavaScript, Tableau in Predicting 2020 US Election Results.
Silkworm - US presidential election predictor using opinion poll data. Uses Python, Pandas, Bokeh.
Search, fetch, and get data regarding United States presidents.
A guide to analyzing & visualizing American political data using R. Winter 2023 Version.
US Presidential Election Results, by county (2000-2020), congressional district (2020), and state (1864-2020)
Analysis of 2023 Nigerian Presidential Election using power BI. This analysis was crafted from the already exiting data of the past election in which was said to have one of the highest turnouts in the history of Nigeria.
Fetch, process, and analyze 2024 presidential polling data.
An interactive US presidential, senatorial, house, and governor map for election results and projections. Written in HTML/CSS/JS
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