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
Other Names
| CSVDescription:
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
Committees
| CSVDescription:
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
Use Case Document
| PDFDescription:
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
Individuals
| CSVDescription:
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
| CSVDescription:
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
$10.00 $5.00 50% OFF
About this Dataset:
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