multi-sheet-reading-and-analysis

To analyze large multi-sheet Excel files, this workflow dynamically optimizes data with Parquet conversion based on row counts, enabling efficient cleaning, aggregation, and linear regression.

The best way to clean Excel data is by applying regex patterns to specified columns to extract relevant content, which is then used for grouping aggregations and formatted report generation.

Yes, you can perform linear regression and grouping aggregations directly on multi-sheet Excel workbooks, as the workflow supports modeling tasks to reveal data trends and generate visualizations.

You can generate formatted Excel reports with charts by loading multi-sheet workbooks, applying regex-based data cleaning, and running aggregations to produce visualized outputs automatically.

No, manual Parquet conversion is not required; the workflow reads all Excel sheets, computes total rows, and applies conditional Parquet optimization automatically to handle large datasets.