Arik Chakma
274082fd77
* refactor: clean to roadmap content * refactor: move shared helpers into scripts/lib
8 lines
758 B
Markdown
8 lines
758 B
Markdown
# Interactive Visualization
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Interactive visualizations allow users to explore data by hovering, zooming, panning, and filtering directly in the chart. They are more engaging than static plots for dashboards and reports where the audience needs to examine specific data points. Python's main interactive visualization libraries are Plotly and Altair.
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Visit the following resources to learn more:
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- [@article@Top 10 Python Data Visualization Libraries](https://reflex.dev/blog/top-10-data-visualization-libraries/)
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- [@article@4 Key Players in Python Data Visualization Ecosystem: Matplotlib, Seaborn, Altair, and Plotly](https://towardsdatascience.com/4-key-players-in-python-data-visualization-ecosystem-matplotlib-seaborn-altair-and-plotly-23ae37a68227/) |