Key Takeaways:

1. Why Plotly is a Game-Changer

• Unlike Matplotlib or Seaborn, Plotly offers interactive and dynamic visualizations that are perfect for storytelling.
• Unlock powerful features that go beyond basic bar charts or scatter plots.

2. 9 Hidden Plotly Tricks:

• Custom Pairwise Correlation Matrix: Add annotations and custom color scales for deeper insights.
• Dynamic Data Highlighting: Like Excel, conditional formatting but on steroids.
• Density Contours: Visualize class distribution and clustering with ease.
• Faceted Histograms: Compare subgroups in a single view.
• Threshold Lines: Emphasize decision boundaries effectively.
• Custom Annotations: Turn visuals into storytelling tools.
• 3D Scatter Plots: Explore invisible relationships in 3D.
• Animated Visualizations: Reveal dynamic patterns over time.
• Interactive Tooltips: Make charts engaging and informative.

3. Real-world Applications

• Business intelligence, scientific research, and education examples.
• Techniques aren’t just about aesthetics—they’re about actionable insights.

4. Bonus Resources

Complete code examples are in the links below:

• Medium Members: https://medium.com/towards-artificial-intelligence/9-hidden-plotly-tricks-every-data-scientist-needs-to-know-eb7f2181df56
• Non-Medium Members can read for Free here: https://mukundansankar.substack.com/p/9-hidden-plotly-tricks-every-data
• Datasets from the UCI Machine Learning Repository for hands-on practice.https://archive.ics.uci.edu/datasets
• Twitter: @sankarmukund475