Campaign finance data powering Open Disclosure California
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Updated
Oct 24, 2024 - Ruby
Campaign finance data powering Open Disclosure California
The purpose is to train a predictive model that can determine if a given customer will subscribe to a term deposit based on these various features. By analyzing historical data on successful and unsuccessful subscription outcomes, patterns can be identified which help predict future subscription behavior.
A supervised machine learning model for classifying FEC expenditure data
Money Trail NM - New Mexico In Depth's Campaign Finance Explorer
An awesome list of political tech
New ODCA front end
Data from the Alaska Public Offices Commission
A schema loader for the Texas Ethics Commission
A web app to track campaign finances for the General Election (November 3, 2020) in San Jose & South Bay California
A tool for getting structured data of campaign finance data from artifacts on the West Virginia Secretary of State's Campaign Finance Reporting System.
R package to help wrangle campaign finance data 💸
Webapp for campaign finance data entry.
NC Campaign Finance Dashboard. Making NC Campaign Funds visible to all citizens
Inform the Texas electorate by putting politicians' campaign finance records next to their voting records in one succinct, mobile platform.
A python library for scraping and parsing campaign finance data from the Florida Secretary of State's website.
Analysis for the story "How ActBlue is trying to turn small donations into a blue wave"
Code for R Shiny applications which streamlined donor outreach for a state-level electoral campaign
Research on the inequalities present in campaign fundraising for Massachusetts State Elections.
Visualization project based on FEC records with a particular focus on candidate donor overlap and mapping donors to zipcode demographics.
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