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pivot-table-cross-analysis

Analyze Excel categorical data with cross-tabulations and heatmaps.

4.9k|347|Updated Apr 14, 2026
Search Tags:#data analysis#visualization#excel#pivot table#heatmap#cross-tab
One-click install
npx skills add https://github.com/OpenSenseNova/SenseNova-Skills --skill pivot-table-cross-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pivot-table-cross-analysis
Source: https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-da-excel-workflow/capability/excel-data-analysis/pivot-table-analysis
Command: npx skills add https://github.com/OpenSenseNova/SenseNova-Skills --skill pivot-table-cross-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, matplotlib, seaborn, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of performing multi-dimensional data analysis within Excel, enabling users to understand complex datasets through clear cross-tabulations and visualizations.

Core Features & Use Cases

  • Data Cleaning & Preparation: Automates preprocessing steps like handling merged cells and filtering key columns for accurate analysis.
  • Cross-Tabulation & Percentage Calculation: Builds contingency tables to analyze data distributions across multiple categories and compute their proportional representation.
  • Visualization: Generates heatmaps to visually interpret distribution patterns and differences, applicable in market research, performance metrics, and award distributions.

Quick Start

Use the pivot-table-cross-analysis skill to analyze your Excel data for multi-key insights and generate a heatmap for presentation.

Frequently Asked Questions about pivot-table-cross-analysis

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

FAQPage Schema
How do I perform cross-tabulation on Excel data to analyze categorical distributions?▼

Cross-tabulation on Excel data builds contingency tables to analyze distributions across multiple categories and compute their proportional representation. This Skill automates that process, handling merged cells and filtering key columns for accurate analysis.

Can I generate a heatmap from an Excel pivot table to visualize market share?▼

Generating a heatmap from an Excel pivot table visually interprets distribution patterns and differences for market share analysis. This Skill uses seaborn and matplotlib to create these graphical outputs directly from your structured data.

What is the best way to automate multi-dimensional data analysis in Excel sheets?▼

Automating multi-dimensional data analysis in Excel sheets is best handled by automating preprocessing steps like handling merged cells. This Skill builds contingency tables to evaluate performance metrics and award distributions seamlessly.

Do I need pandas and matplotlib installed to visualize Excel cross-tabs?▼

You need pandas, matplotlib, and seaborn installed to process Excel data and generate visualizations. These libraries are required dependencies for building contingency tables and rendering heatmaps from your structured datasets.

Does this approach work with merged cells in my categorical datasets?▼

This approach works with merged cells in categorical datasets by automating preprocessing steps like unmerging and filtering key columns. This ensures accurate cross-tabulation and percentage calculation for your multi-dimensional analysis.

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