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data-visualization

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Turn data into clear, actionable visuals.

Data & Analytics#charts#data-analysis#plotly#matplotlib#seaborn#data-visualization
Author0xkynz
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Data visualization is essential to turning raw datasets into quickly understandable insights. This skill automates the creation of charts and graphs, enabling you to communicate results more effectively and faster.

Core Features & Use Cases

  • Chart Types: Line, bar, pie, scatter, histogram, and heatmap visualizations.
  • Libraries Supported: Matplotlib, Seaborn, Plotly, Altair for static or interactive visuals.
  • Use Case: When given a dataset, generate a line chart to show trend over time, or a bar chart to compare categories in a report, then export as PNG or interactive chart.

Quick Start

Ask the AI to generate a chart from the provided data and export the visualization as a PNG file.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: data-visualization
Download link: https://github.com/0xkynz/codekit/archive/main.zip#data-visualization

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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