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Smart Chart Recommender
Get intelligent chart type recommendations based on your data structure and visualization goals, plus publication-ready visualizations with matplotlib/seaborn.
What You Get
Stop wasting hours experimenting with chart types. Get data-driven recommendations, publication-ready visualizations, and expert guidance on what to avoid - all tailored to your specific data and audience.
The Problem
The Solution
How It Works
- 1 Understand visualization goals and audience context (comparison, distribution, correlation, composition, or trend analysis)
- 2 Analyze data structure including variable types, distributions, sample size, outliers, and missing data patterns
- 3 Generate 2-4 ranked chart recommendations based on data characteristics, goals, and audience sophistication
- 4 Create publication-ready visualizations using matplotlib/seaborn with professional styling and colorblind-friendly palettes
- 5 Provide interpretation guidance with key insights, customization suggestions, and actionable recommendations
What You'll Need
- Dataset in CSV, Excel, or pandas-compatible format
- Clear visualization goal (comparison, distribution, correlation, composition, or trend)
- Audience context (technical stakeholders, executives, or general public)
- Python environment with pandas, matplotlib, seaborn, scipy installed
Get This Skill
Requires Pro subscription ($9/month)
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