MySQL Descriptive Data Analysis

I have all of my raw information stored in a MySQL database and I need a clear, story-driven snapshot of what that data is saying. The goal is straightforward: use descriptive analysis techniques to surface counts, proportions, trends over time, and any notable patterns that can be spotted without predictive modeling. You are welcome to work directly in SQL for initial aggregation, and then move to your preferred tool—Python (pandas, matplotlib, seaborn), R, or even Tableau/Power BI—for the visual and narrative layer. What I will hand over: database credentials to a read-only replica plus a quick schema overview so you can see table relationships. The data are already reasonably clean, but feel free to flag or handle any obvious inconsistencies you encounter. What I need back: • A complete set of SQL scripts (or Jupyter/R Notebook) that reproduce every metric you report • An easy-to-read visual report—PDF or interactive dashboard—that walks through the key descriptive findings • A brief written summary (one to two pages) highlighting the most actionable insights I’ll consider the work complete when I can run your code on my side, match the numbers in your report, and clearly understand the story the data tells.

Project ID: 40539436