Electoral Data Standardization and Analysis

In this project, I extracted Federal Election Commission (FEC) data from official online sources The data primarily existed in Excel spreadsheets with inconsistent formatting, necessitating the use of Python to standardize crucial elements such as party abbreviations. This standardization ensured uniformity and accuracy across the dataset.

The standardized data was organized and integrated into an SQLite database, serving as a centralized repository for streamlined data management and accessibility.

This work addressed the challenges posed by disparate data formats, ensuring accuracy, consistency, and accessibility of FEC election data. By employing Python for standardization and an SQLite database for storage, the project provided a structured framework for efficient analysis.

The ability to conduct sophisticated analyses on standardized data is invaluable for political campaigns, policymakers, researchers, and analysts. These insights empower data-driven decision-making, enabling a deeper comprehension of electoral dynamics and informing strategic approaches in the political landscape.

This project underscores the transformative impact of data standardization and analysis, emphasizing their pivotal role in extracting actionable insights from complex electoral datasets.