This project analyzes a salary dataset using Python to explore salary components such as base pay, overtime pay, benefits, and total compensation. The data is cleaned and examined to identify missing values, duplicates, and outliers. Various visualizations and statistical summaries are used to understand salary distributions and relationships between different pay features.