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Visualisation Biblio

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7. Charts | Design a Presentation | Extreme Presentation Method. Identify the most effective graphical elements to use in your presentation In this step, decide what charts will provide the most convincing display of your quantitative evidence. Take your index cards from step 6, and on each card that represents quantitative data, draw a thumbnail sketch of which chart or graphic you will use to best present that data. Then continue to step 8: Slide layout. Resources Use the chart chooser diagram to help you select your charts Download a pdf of the chart chooser. See Juice Analytics' online version of the chart chooser at www.ChartChooser.com. See the chart chooser in Portuguese, Spanish, Japanese, and Chinese. Compare different visualization taxonomies. From Advanced Presentations by Design: What kinds of graphics should you use? Juice Labs - Chart Chooser.

6a00d8341bfd2e53ef00e553577fea8833-pi (1584×1224) Search Information Visualization Database. Visualization and Data Mining. Download Policy: Content on the Website is provided to you AS IS for your information and personal use only and may not be sold or licensed nor shared on other sites. SlideServe reserves the right to change this policy at anytime. While downloading, If for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. 1. Visualization and Data Mining 2. 2 Outline Graphical excellence and lie factor Representing data in 1,2, and 3-D Representing data in 4+ dimensions Parallel coordinates Scatterplots Stick figures 3. 3 Napoleon Invasion of Russia, 1812 7. 7 Asia at night 8. 8 South and North Korea at night 9. 9 Visualization Role Support interactive exploration Help in result presentation Disadvantage: requires human eyes Can be misleading 10. 10 Bad Visualization: Spreadsheet 11. 11 Bad Visualization: Spreadsheet with misleading Y ?

12. 12 Better Visualization 13. 13 Lie Factor 14. 14 Tufte? Rules and Principles of Scientific Visualization (H. Senay and E. Ignatius) HIKMET SENAY and EVE IGNATIUS Department of Electrical Engineering and Computer Science The George Washington University Washington, D. C. 20052 This report provides a set of rules and principles for scientific data visualization. These rules and principles have been acquired through informal discussions with data visualization experts and surveys of existing literature on graphics, data visualization, visual perception, exploratory data analysis, psychology, and human-computer interaction. Even though far from being complete and extensive, the set provided in this report forms a starting point for designing effective scientific data visualization techniques. Using these rules and principles, we are currently developing a visualization tool assistant (VISTA) which will advise scientists and engineers, who are not visualization experts, in selecting and creating effective data visualizations. 1.

Introduction The report is organized into nine sections. 2. 3. Figure 1. 4. 5. Size - ) ) Christian Tominski.