115th U.S. Congress Composition and Voting Record - Analysis and k-means clustering

 
Description
With the 2018 U.S. midterm elections right around the corner and the control of Congress at stake, the 115th U.S. Congress might soon drastically change.
Indeed, the coming election features of the most diverse pool of candidates, from record numbers of women and LGBTQ candidates to unprecedented racial and religious diversity.

This project aims to analyze the composition and voting record of the 115th U.S. Congress on the eve of the 2018 midterm elections.
Technologies
Python (scikit-learn, pandas, NumPy, matplotlib, seaborn, shapely, GeoPandas, Cartopy)
Jupyter Notebook
Link
Github
 

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