BCA-Level Python Data Analysis

I’m putting together an academic project that demonstrates a full yet easy-to-understand data-analysis workflow in Python. It must be simple enough for a BCA student to present, but still show good practice.

Here’s the picture:

• Core task
I need a small Flask-powered interface that lets the user perform basic CRUD operations on a MySQL or PostgreSQL table, then run a short data-analysis routine (think descriptive stats, a couple of charts with matplotlib or seaborn) on the stored records.

• Tech stack
Python 3.x, Flask for the minimal front end, and either MySQL or PostgreSQL—whichever you find quicker to spin up locally. Using SQLAlchemy to stay database-agnostic is fine.

• What I expect to receive
1. Well-commented source code.
2. A concise README (or PDF) that explains setup, database schema, and the logic behind each major function—written so a beginner can follow.
3. A short section describing the data-analysis approach and how the CRUD layer feeds into it. Screenshots or a GIF demo would be a plus but not mandatory.

Keep it clean, avoid over-engineering, and remember the educational angle: clarity matters more than flashy features. Once I can run it locally, add a few rows, and generate the sample analysis without digging through Stack Overflow, we’re good.