numeric-extraction-and-distribution-analysis
OfficialVisualize data distribution with automated statistical charts.
AuthorOpenSenseNova
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the extraction and visualization of numerical data from complex datasets, enabling users to quickly analyze data distribution patterns.
Core Features & Use Cases
- Data Cleaning & Extraction: Extracts numeric values from strings with units, handling invalid and missing data entries.
- Multifaceted Visualization: Generates histograms, pie charts, bar charts, and cumulative distribution plots to provide comprehensive insights into data distribution.
- Use Case: For instance, analyzing the weight data in grams across a product dataset, enabling quick statistical summaries and visual understanding of the data spread.
Quick Start
Provide the data frame with the target columns, then run the script to produce distribution visualizations and save the dashboard image.
Dependency Matrix
Required Modules
pandasnumpymatplotlib
Components
scripts
💻 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: numeric-extraction-and-distribution-analysis Download link: https://github.com/OpenSenseNova/SenseNova-Skills/archive/main.zip#numeric-extraction-and-distribution-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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