How does Claude decide which chart type to use?

The skill analyzes the provided data's structure, identifying whether it is categorical or numerical, and selects the format (like a bar chart or line graph) that best represents the underlying patterns.

Can I request a specific type of graph?

Yes, you can be specific in your prompt by asking for a particular style, such as 'create a scatter plot' or 'generate a histogram of the results'.

What kind of data can this skill process?

It can process any structured data accessible through the Claude Code environment, including CSVs, logs, and API responses.

Do I need to clean my data before using this skill?

While the skill is intelligent, ensuring your data is well-formatted and clean will lead to more accurate and visually clear results.

Data Visualization Creator

Name: Data Visualization Creator
Author: BbgnsurfTech

byBbgnsurfTech

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Data Science & ML

Generates professional plots, charts, and graphs from raw data with intelligent, automatic visualization type selection.

About

This Claude Code skill empowers developers and data scientists to transform complex datasets into clear, actionable visual representations directly within their workflow. By analyzing data structures and distributions, the skill automatically identifies and generates the most effective visualization types—such as bar charts, line graphs, or scatter plots—to ensure visual clarity and accuracy. It is an essential tool for exploratory data analysis, reporting, and uncovering hidden patterns in raw data without manual charting effort.

Key Features

Automated data structure and trend analysis
3 GitHub stars
Intelligent visualization selection based on data distribution
Seamless integration with file system and bash tools
Support for diverse formats including bar, line, and scatter plots
Best-practice implementation for visual clarity and data accuracy

Use Cases

Plotting historical financial data and stock market trends
Visualizing business performance and sales metrics across regions
Exploratory data analysis to identify correlations and outliers

About

Key Features

Automated data structure and trend analysis
3 GitHub stars
Intelligent visualization selection based on data distribution
Seamless integration with file system and bash tools
Support for diverse formats including bar, line, and scatter plots
Best-practice implementation for visual clarity and data accuracy

Use Cases

Plotting historical financial data and stock market trends
Visualizing business performance and sales metrics across regions
Exploratory data analysis to identify correlations and outliers