Data Visualization goes beyond 'charts' - it's a common misconception that data visualization is just about visualization data - but it goes beyond just 'visualization' - it provides a higher level meaning - it provides the opportunity to create to customize to explore the data in ways that are impossible with the data.

1. Data Visualization
Understanding the role of data visualizations

2. What is Data Visualization?
Flesh out the real value
Not just about seeing value in data!
Discuss examples

3. What is Data Visualization?
• Representation of data through graphics.
• Helps identify patterns, trends, and outliers.
• Makes complex data easier to understand.

4. Why is Data Visualization Important?

5. Why is Data Visualization Important?
• Simplifies complex datasets.
• Facilitates decision making.
• Enhances communication of insights.

6. What are Common Types of Visualizations?

7. What are Common Types of Visualizations?
• Bar Charts
• Line Graphs
• Pie Charts
• Scatter Plots
• Heatmaps

8. Going Beyond: Custom Visualizations
• Tailored to specific data needs.
• Provide unique insights.
• Allow interactivity and dynamic exploration.

9. Why Create Custom Visualizations?
• Standard charts may not capture complex relationships.
• Showcase narratives that generic visuals can't.
• Engage users with interactive experiences.

10. WebGPU & Advanced Visualization
• Harness the power of GPU in the browser.
• Real-time, high-performance graphics.
• Ideal for large datasets and simulations.

11. Telling Stories with Custom Visuals
• Highlight the 'why' behind the numbers.
• Create immersive, exploratory environments.
• Move beyond static charts to interactive journeys.

12. Summary
• Visualizations simplify complex data.
• Custom visuals unlock deeper insights.
• WebGPU enables cutting-edge browser graphics.
• Storytelling is key to effective data communication.

13. Links & Resources
100s Interactive WebGPU Demos/Examples
https://webgpu.xbdev.net
Tutorials/articles
https://xbdev.net/internet/webgpu/