A visual displaying Florida demographics by county or voting precinct.
-
Updated
Nov 23, 2021 - HTML
#
voter-data-analysis
Here are 7 public repositories matching this topic...
The objective is to analyze voter behavior based on demographic and opinion-based variables and build a classification model that can predict which party a voter will vote for. This model is used to simulate an exit poll.
github python machine-learning logistic-regression prediction-model linear-discriminant-analysis election-analysis knn-classification random-forest-classifier exit-polls navies-bayes-classifer adaboostclassifier streamlit-webapp boosting-ensemble voter-data-analysis bagging-classifier
-
Updated
May 8, 2025 - Jupyter Notebook
Exploring how sexist and nativist beliefs affect party vote in Spanish Elections
classification logistic-regression knn-classification reproduction-study sexism voter-data-analysis nativism
-
Updated
May 27, 2025 - Stata
Exploring the effect of the George Floyd protests on 2020 election results using casual inference techniques in R.
regression r-markdown causal-inference r-programming voter-turnout election-data regression-analysis voter-registration voter-data george-floyd racial-justice 2020-election voter-data-analysis difference-in-difference
-
Updated
Jan 1, 2023
Using a K-Nearest Neighbors (KNN) model to predict a voter’s vote in the 2020 U.S. presidential election, based on their demographic data and opinions on certain key issues.
-
Updated
Feb 16, 2024 - Jupyter Notebook
Analysis of SF voter data
-
Updated
Nov 15, 2020 - Jupyter Notebook
Improve this page
Add a description, image, and links to the voter-data-analysis topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the voter-data-analysis topic, visit your repo's landing page and select "manage topics."