Table Rendering

Feature Overview

The Table Rendering feature allows users to describe table styles using natural language. DataGPT will automatically generate data tables containing complex layouts such as grouping, aggregation, color marking, fixed headers, and dual-layer headers. No manual formatting is needed -- just describe the table style you want as if chatting.

Usage

In the AI dialog, describe the table content and style you need, and the Agent will automatically generate the corresponding table.

Example

"Help me analyze the sales performance of different brands. Group by brand, differentiate between B-end and C-end, include full-year summary data and monthly information, and add commentary. Numeric columns should support sorting, with sorting limited to within each brand only."

Output Report:

You can optimize table details by continuing the conversation, for example:

1. Also need to count the sales performance of each brand, TOB total, and TOC total.
2. In the "Notes" section, highlight meeting expectations in green and falling short in red. Sorting:

Notes

1. The table style is automatically generated by the Agent based on natural language descriptions. The more specific the description, the better the generated result matches expectations.

2. For complex layout requirements, it is recommended to fully describe all style requirements (grouping method, aggregation dimensions, color rules, etc.) in a single query.

3. To adjust a generated table style, you can modify it by adding follow-up descriptions (e.g., "Change the background color to blue").