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Data Visualization Chart Recommender
Analyzes your data and goals to recommend the optimal chart type, explains why it works, and generates professional Python visualizations ready for presentations.
What You Get
Transform data into compelling visuals by getting expert chart recommendations tailored to your data structure and analytical goals, then generating publication-ready visualizations instantly.
The Problem
The Solution
How It Works
- 1 Load data from files (CSV/Excel) or pasted content and analyze structure
- 2 Identify data types (numeric, categorical, temporal) and quality issues
- 3 Clarify analytical goal: compare, trend, distribution, composition, or relationship
- 4 Apply visualization selection rules to recommend optimal chart type
- 5 Explain why recommendation works and why alternatives don't
- 6 Generate professional Python code with matplotlib/seaborn best practices
- 7 Execute visualization and provide insights on patterns and trends
What You'll Need
- Data in any format: file path (CSV/Excel), pasted data, or inline values
- Clear communication goal or willingness to answer clarifying questions
- Python environment with matplotlib, seaborn, pandas for code execution
Get This Skill
Requires Pro subscription ($9/month)
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