Problem & Context
Analyze public salary data to identify the highest-paying job categories in Montgomery County, Maryland.
Goal
Transform public salary data into understandable insights that can be communicated to a non-technical audience.
Approach
Collected and analyzed public salary data, cleaned and processed the dataset, identified and ranked the top 10 highest-paying jobs, visualized findings using charts, and presented results in a way understandable to non-technical audiences.
Technical Implementation
Used Pandas for data loading, cleaning, filtering, grouping, and analysis; used Matplotlib for visualization; aggregated salary information and compared job categories; converted the analysis into a concise set of findings and visual insights.
Outcome
Produced a data analysis focused on salary patterns and communicated the findings to a non-technical audience.
Lessons Learned
Practiced turning raw public data into a clear, ranked analysis and communicating findings in a way a non-technical audience could follow.