Python EDA Notebook & Slides

I will provide a CSV dataset and need a fast-turnaround analysis delivered as both a well-commented Jupyter Notebook (Python) and a concise PowerPoint deck.

Notebook scope
– Load the file, handle missing values or inconsistencies, and clearly document each cleaning step.
– Perform exploratory data analysis, then build four visuals:
• Sales by Category (bar)
• Profit by Region (bar)
• Monthly Sales Trend (line)
• Discount vs Profit (scatter)
– Print a short, readable list of key insights at the end so the notebook stands on its own.
Please rely on common data-science libraries—pandas, NumPy, matplotlib or seaborn (Plotly fine if you prefer).

PowerPoint structure
1. Title slide + brief dataset description
2. Overview of cleaning steps and final row/column count
3. Sales by Category chart with takeaway
4. Profit by Region chart with takeaway
5. Monthly Sales Trend chart with takeaway
6. Discount vs Profit chart with takeaway
7. Consolidated key-insights summary

The visuals in the deck should match those in the notebook; feel free to export images directly from the code for consistency. I need the complete package ASAP, so factor quick communication and iterative feedback into your timeline.