Use this skill for creating effective visualizations: choosing the right library, chart type, and interactivity level for your data and audience.
| Library | Best For | Interactivity | Learning Curve |
| Matplotlib | Publication-quality static plots, fine control | Static | Moderate | | Seaborn | Statistical visualization, quick EDA | Static | Easy | | Plotly | Interactive web charts, dashboards | High | Easy | | Altair | Declarative statistical charts, large datasets | Medium | Easy |
Visualización de datos para Python: Matplotlib, Seaborn, Plotly, Altair, hvPlot/HoloViz y Bokeh. Úselo al crear gráficos exploratorios, paneles interactivos, cifras de calidad de publicación o elegir la biblioteca adecuada para sus datos y audiencia. Fuente: legout/data-platform-agent-skills.