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How I Analyzed One Million Voter Records in Manhattan

Written by @mattygyo | Published on 2019/12/2

TL;DR
NYC Board of Elections released 4.6 million voter records online in early 2019. The records included full name, home address, political affiliation, and whether you have registered in the past 2 years. This is one of the most unique datasets in the world. For the first time there now existed a dataset to visualize a vast array of hyper-granular voter data, including political affiliation concentration by area, whether there are concerted efforts in certain areas to register new voters, and how dominant parties are.

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Written by
@mattygyo
CTO/Head of Product at @RealBlocks

Topics and
tags
politics|new-york|data-science|python|ocr|data-visualization|google-cloud-services|hackernoon-top-story
This story on HackerNoon has a decentralized backup on Sia.
Transaction ID: xRCqoXngZ115dTDUCdLsVYvoxC3yaNkGxVA2eoql2xA