python-dataviz

What problem does it solve?

This Skill automates the creation of professional, publication-quality static and interactive data visualizations from raw data, eliminating the need for manual charting and complex coding.

Core Features & Use Cases

• Static Charts: Generate publication-quality bar, line, scatter, pie, histogram, and heatmap charts using matplotlib and seaborn.
• Interactive Plots: Create web-friendly, interactive charts with tooltips and zoom capabilities using Plotly.
• Statistical Visualizations: Produce advanced statistical plots like violin plots, box plots, and regression plots.
• Use Case: Visualize monthly sales trends with a line chart, compare product performance with a bar chart, or display customer demographics with a heatmap.

Quick Start

Use the python-dataviz skill to create a scatter plot from the data in 'data.csv' showing 'column_a' on the x-axis and 'column_b' on the y-axis, saving it as 'scatter.png'.