Data Visualization Power of Graphics for Understanding Data
Data Visualizations using WebGPU API - for powerful interactive web-based visuals. Leverage the power of the GPU - while providing accessibility (any computer/device anywhere in the world).
Why Data Visualization?
Thinkabout what a Visualization is!
Discuss data – what can’t you see in ‘raw’ data that you can see in a visualization!
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Why Data Visualization?
•Making data understandable
• Identifying patterns and trends
• Communicating insights effectively
• Enhancing decision-making
Unlock Secrets of Data
Custom Powerful Web-BasedVisualizations?
• Real-time data rendering
• Immersive and interactive visualizations
• Seamless integration with web technologies
• Enhanced user experience
Future Trends?
• Widespreadadoption in web applications
• Advancements in visualization techniques
• Integration with AI and machine learning
• Development of new visualization frameworks
Importance?
• Empowering datascientists and analysts
• Facilitating complex data analysis
• Improving accessibility and usability of data
• Driving innovation in web technologies
Solutions through DataVisualizations?
• Hidden correlations in large datasets
• Complex network structures and connections
• Multivariate relationships that are difficult to comprehend in raw
form
• Patterns and outliers that aid in predictive analytics
Real-World Example?
• Example:Detecting Fraud in Financial Transactions
• Visualization of transaction networks helps identify unusual patterns
• Cluster analysis highlights suspicious activities
• Time-series visualizations reveal temporal trends
• Anomalies can be spotted more easily than in raw data