The cross-tabulation table is one of Pointer's special features, and the process of using it can be divided into four stages:
- Subject input: Enter a comparison topic (e.g., "Compare Cloud Computing Services") into the module, and the AI will automatically identify the key dimensions.
- Form Generation: The system structures the output as a matrix table containing comparison items, parameter columns and data rows.
- content editor: Support for manual adjustment of row-column relationships, modification or addition of specific parameter content
- Exporting Applications: results can be saved in Markdown or JSON format for reporting or further analysis
Typical application scenarios include: comparison of literature in academic research, analysis of competing products in the business environment, and combing of knowledge points in the field of education. The function intelligently recognizes the comparison dimension through AI, which significantly improves the efficiency compared with traditional manual tabulation and supports flexible adjustment in the later stage.
This answer comes from the articlePointer: an AI chat tool that supports multi-model conversations and data analysisThe
May not be reproduced without permission:AI productivity tools " How exactly does Pointer's crosstab feature work?
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