category-statistics
OfficialQuickly analyze and visualize categorical data distributions.
Data & Analytics#data analysis#visualization#statistics#chart generation#data reporting#categorical data
AuthorOpenSenseNova
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the process of extracting, analyzing, and visualizing categorical data from datasets, saving time on manual data interpretation.
Core Features & Use Cases
- Data Extraction & Cleaning: Reads category columns, removes invalid labels, and provides key statistical counts and proportions.
- Visual Analytics: Generates high-resolution bar charts, pie charts, and detailed horizontal bar charts to illustrate data distribution.
- Use Case: A researcher needs to visualize survey results, showing the number and share of different responses across categories as clear, publication-quality images.
Quick Start
Use the skill to process a dataset containing a '类别' column and generate visual reports showing the distribution of categories.
Dependency Matrix
Required Modules
pandasmatplotlib
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: category-statistics Download link: https://github.com/OpenSenseNova/SenseNova-Skills/archive/main.zip#category-statistics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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