This project analyzes the City Employee Earnings Dataset from Data.gov, featuring quarterly compensation data for Philadelphia public employees (2019–2025). It explores salary patterns, departmental differences, overtime trends, and workforce pay insights using data cleaning and visualization.

This project analyzes employee earnings data to identify trends in salary, overtime, and total compensation across years, departments, and employee categories. Using statistical and visual analysis, it highlights patterns, outliers, and key factors influencing payroll, supporting better workforce and budget decisions.

A Jupyter-based data analysis project that allows users to search employee salary records by name, summarize earnings, and export results. Includes both Python and R workflows for data extraction, transformation, and reporting.