Interactive Biological Data Visualization with Plotly

This project teaches interactive visualization as a scientific communication skill, not as a collection of chart recipes. Every example starts from an analysis-ready biological table, validates the schema, states the transformation, and generates an inspectable Plotly figure.

What you will learn

• Plotly Express for fast, declarative exploration.
• Graph Objects and subplots for controlled scientific dashboards.
• Hover content that exposes identifiers and exact values.
• Facets, animation, 3D projections, hierarchy, and linked visual narratives.
• Static PNG and interactive HTML export from the same figure object.
• Scientific guardrails for differential expression, microbiome composition, PCA, association studies, and pathway counts.

Learning path

1. Run notebooks/plotly_biology_tutorial.ipynb for the foundations.
2. Continue with notebooks/interactive_omics_case_studies.ipynb.
3. Browse the visual gallery and open the HTML versions locally.
4. Import bioviz_plotly functions into a new analysis.
5. Use the scientific-practice checklist before interpreting results.

Note

The included datasets are deterministic simulations for teaching and testing. They are not experimental evidence.