Political Donor Diversity Scoring and Analysis

Group Category: Business Requirement

Product Category: AI & Data Science

Sub Category: Data Analysis

Business Overview:

Political Donor Diversity Scoring Using Python equips data learners, analysts, and compliance professionals to investigate political donation behavior using real datasets and Python workflows. This hands-on product guides users through real-world tasks like scoring donor affiliations, performing entity resolution, and matching individuals across public records. By cleaning and linking political donation and SEC data, learners develop algorithms that quantify political neutrality and donor reach—useful for compliance checks, regulatory reporting, and influence mapping.

Product Highlights:

A structured business case in PDF format covering three real-world Python tasks
Includes matching logic, scoring system design, and data cleaning instructions
Built on realistic datasets (Contributions, Committees, Individuals, and Other_Names)
Applies fuzzy matching and scoring across Democratic, Republican, and Other affiliations
Ideal for learners, analysts, and professionals in regulatory, political, and finance sectors

Learning Outcomes:

By solving this business requirement, you'll gain practical experience in:

Designing and applying scoring algorithms in Python
Performing data cleaning and duplicate resolution with Pandas
Linking datasets using fuzzy matching and entity resolution
Analyzing political donation behavior to assess diversity and potential bias
Interpreting structured political and financial data for real-world compliance contexts

1/5

Use Case Document

| PDF

Description:

This document outlines a hands-on political donation scoring project using Python and real-world datasets.

Defines 3 core tasks: data cleaning, donor scoring, and fuzzy matching of SEC individuals
Uses Python with Pandas, NumPy, and Regex for data analysis and entity resolution
Involves contributions, committees, individuals, and name mapping tables
Develops a scoring system for DEM, REP, and Other political affiliations
Supports compliance, political neutrality assessment, and donor profiling
Ideal for learners and professionals in finance, law, data analytics, and public policy

Committees

| CSV

Description:
This file contains details of political committees registered in the U.S., supporting donation tracking and affiliation analysis.

Includes committee IDs, names, cities, states, and party affiliations
Enables linkage with donation transactions for affiliation-based scoring
Useful for political analysis, regulatory checks, and compliance workflows
Complements contributions, individuals, and donor scoring datasets for comprehensive analysis

Other Names

| CSV

Description:
This file catalogs alternative or historical names of SEC-registered individuals for identity resolution purposes.

Contains first, middle, and last names, suffixes, and individual identifiers
Useful for matching individuals across datasets with inconsistent naming
Enhances accuracy in political donation linkage and compliance checks
Complements the primary individuals file and contributions dataset for robust entity matching

Individuals

| CSV

Description:
This file lists SEC-registered individuals, capturing key identity fields for regulatory and compliance linkage.

Contains first, middle, and last names, suffixes, and unique individual identifiers
Useful for entity resolution and matching with political donation records
Supports background verification and influence analysis in financial contexts
Complements political contributions, alternative names, and scoring datasets for comprehensive profiling

Contributions

| CSV

Description:
This file records individual political contributions, capturing transaction-level donation data with contributor attributes.

Contains contributor names, cities, states, occupations, and donation amounts
Tracks contribution dates, recipient committee IDs, and transaction types
Useful for scoring political affiliations, geographic donation patterns, and compliance analysis
Complements committee metadata and SEC individual records for influence mapping and donor profiling

Political Donor Diversity Scoring and Analysis

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