Descriptive Analysis for CSV Data

I’m looking to have a set of CSV/Excel files transformed into a clear, insight-rich descriptive analysis. Before we get to the numbers, the data needs a quick cleanup:

• Removing duplicates
• Handling missing values
• Correcting data types

Once the tables are tidy, I’d like summary statistics, meaningful visualisations, and plain-language commentary that highlights the key takeaways hidden in the rows. A concise slide deck or notebook showcasing your methodology would be perfect, along with the cleaned dataset itself so I can reuse it later.

Python (Pandas, Matplotlib, Seaborn), R, or even Power BI/Excel power tools are all fine—as long as the code or steps are transparent and reproducible.

Deliverables
• Cleaned CSV/XLSX files
• Script or notebook with documented steps
• Visual and written summary of insights

I’ll be around to answer clarifying questions quickly and look forward to seeing how you turn raw spreadsheets into clear, decision-ready information.