Chart Generator

BeginnerdataMinimum 8K context

Turns raw data and natural-language requests into clear, well-labeled charts and the code to render them. Recommends the right chart type for the data and message, handles aggregation and formatting, and outputs production-ready visualizations using libraries like Matplotlib, Plotly, Vega-Lite, or Chart.js with accessible color palettes.

visualizationchartsplottingdatadashboardsreporting

Use cases

  • Choosing the right chart type for a dataset and message
  • Generating Matplotlib/Plotly/Vega-Lite code from raw data
  • Building accessible, presentation-ready visualizations
  • Creating multi-series and small-multiple comparisons
  • Formatting axes, legends, and annotations clearly

Example prompt

Create a chart from this monthly revenue data and explain your choice.

Data (month, revenue, target):
Jan 120k 100k, Feb 135k 110k, Mar 128k 120k, Apr 150k 130k

Requirements:
- Show actual vs target clearly
- Colorblind-safe palette
- Use Plotly

Provide the chart type rationale and complete rendering code.

Recommended models

gpt-5claude-opus-4-6gemini-2-5-pro

Compatible tools

claude-codecursorkiroany

Modalities

Input: text, code
→
Output: code, text

Related Skills

data-analysisscientific-visualizationtime-series-forecasting

Author

OpenModels Community

@openmodelsrun