1. Load the CSV file into a pandas DataFrame.
2. Inspect the data structure (column types, date columns, etc.).
3. Determine the relevant analyses based on the data type.
4. Generate appropriate visualizations (time-series, histograms, etc.).
5. Calculate key statistics and metrics.
6. Identify missing data and handle it gracefully.
7. Present a comprehensive report with visualizations and insights.