Data visualization is a graphical representation of information and data. Data visualization enables researchers or decision-maker to understand data analytics presented graphically, so they can grab difficult concepts or distinguish new patterns.
It’s a term that describes any effort to assist individuals to understand the importance of data by inserting it in a visual context. With interactive visualization, researchers can take the theory a step further by using technology to drill down into charts and graphs for details, interactively changing what information they see and how it’s processed. By using visual components like charts, graphs, and maps, data visualization tools offer an accessible way to see and understand trends, outliers, and patterns in data. In the world of massive information, data visualization tools and technologies are essential to analyse huge amounts of data and create data-driven decisions.
- Track 1-1 Video and Image Processing
- Track 2-2 Analysis data for visualization
- Track 3-3 Scalar visualization techniques
- Track 4-4 Framework for flow visualization
- Track 5-5 System aspects of visualization applications