Principle:Mbzuai oryx Awesome LLM Post training Multi Sheet Excel Export
| Knowledge Sources | |
|---|---|
| Domains | Data_Export, Trend_Analysis |
| Last Updated | 2026-02-08 07:30 GMT |
Overview
A data export strategy that organizes analysis results into a multi-sheet Excel workbook with one sheet per data category or keyword.
Description
Multi-Sheet Excel Export takes structured results from a trend analysis pipeline and writes them to an Excel workbook where each research keyword gets its own dedicated sheet. This organization allows researchers to navigate directly to any keyword's data and leverage Excel's built-in filtering, sorting, and charting capabilities for further analysis.
The key constraint is Excel's 31-character limit on sheet names, which requires truncation of long keyword strings.
Usage
Use this principle at the final export stage of trend analysis when:
- Results are organized by keyword or category
- Each keyword's data fits naturally in its own sheet
- The target audience uses Excel for data review
- Multiple parallel datasets need to be in a single deliverable file
Theoretical Basis
Pseudo-code Logic:
# Abstract multi-sheet export pattern (NOT real implementation)
with open_workbook("output.xlsx") as writer:
for keyword, data in results.items():
sheet_name = truncate(keyword, max_length=31)
dataframe = to_dataframe(data)
write_sheet(writer, dataframe, sheet_name)
The Excel sheet name limit of 31 characters is a format constraint defined by the .xlsx specification.