chart-embedded-export

Clean Excel data, compute crosstabs, and export charts as PNG and SVG.

2|Updated May 19, 2026
One-click install
npx skills add https://github.com/aiyinluya/SenseNova-Skills-Studio --skill chart-embedded-export-aiyinluya
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: chart-embedded-export
Source: https://github.com/aiyinluya/SenseNova-Skills-Studio/tree/main/skills/sn-da-excel-workflow/capability/excel-result-export/chart-embedded-export
Command: npx skills add https://github.com/aiyinluya/SenseNova-Skills-Studio --skill chart-embedded-export-aiyinluya

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns messy, structured Excel-like data into clean category distributions, multi-dimensional cross analysis, and a complete downloadable report with embedded high-resolution visualizations.

Core Features & Use Cases

  • Data cleaning & category mapping: Fills merged cells, sanitizes text with regex, converts numeric fields, and builds a category-mapping function from field patterns.
  • Cross-tab and aggregation analytics: Produces crosstabs with totals and computes group-level summary statistics (sum/mean/min/max).
  • Exportable results + visuals: Exports the analyzed dataset to Excel, generates a sandbox download link, and creates a 4-in-1 chart panel (pie, bar, box, histogram) exported as PNG and SVG with multilingual font support.

Quick Start

Ask the AI to run chart-embedded-export to clean the dataset, compute category distributions and cross analysis for the chosen group fields, export analysis_result.xlsx, and generate comprehensive_chart.png/.svg with an embedded Markdown report.

Frequently Asked Questions about chart-embedded-export

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate Excel reports with embedded high-resolution charts from raw tabular data?▼

You can generate Excel reports with embedded charts by running automated data cleaning, pandas crosstab aggregation, and multi-format visualization export to produce downloadable analysis_result.xlsx and comprehensive_chart.png/svg files.

What is the best way to clean messy Excel data for crosstab analysis and category distribution?▼

Cleaning messy Excel data for crosstab analysis involves filling merged cells, sanitizing text with regex, converting numeric fields, and building category-mapping functions from field patterns to ensure deterministic structured tabular data.

Can I create multi-dimensional aggregation statistics with totals using python pandas for large files?▼

Yes, you can compute multi-dimensional aggregation statistics with totals using pandas crosstab with margin totals, alongside group-level summary statistics including sum, mean, min, and max for large-file processing workflows.

Does this data cleaning and visualization workflow support multilingual font rendering in exported charts?▼

The data cleaning and visualization workflow supports multilingual font rendering, generating 4-in-1 chart panels with pie, bar, box, and histogram visuals exported as high-resolution PNG and SVG files.

How do I export crosstab results and visualizations to get a sandbox download link?▼

You export crosstab results by asking the AI to process your dataset, which computes category distributions and generates a sandbox download link containing the analyzed Excel file alongside embedded high-resolution chart visuals.

What are the limitations of automated Excel data cleaning for cross-sectional statistics?▼

Automated Excel data cleaning for cross-sectional statistics requires deterministic structured tabular data input and applies regex sanitization, meaning irregular unstructured formats or unsupported file types may not process correctly without prior manual preparation.