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This project performs a detailed analysis of public employee salaries in San Francisco using the SF Salaries Dataset. It explores salary distributions, missing data, job titles, compensation patterns, and year-over-year trends using Python and Pandas.
A Comprehensive analysis of the San Francisco salaries dataset, focusing on employee compensation trends and job titles over multiple years. The analysis includes data exploration, cleaning, and visualization to uncover insights such as the highest and lowest paid positions, average salary trends over the years, and job title frequency.