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Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
Designjamiasi visualization and interactive data exploration
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Designjamiasi visualization and interactive data exploration

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  • 1. Visualization Principles andInteractive Data Explorationhttp://www.aaronkoblin.com/work/flightpatterns/
  • 2. WHY DO WE CREATE/NEEDVISUALIZATIONS?https://www.flickr.com/photos/brewbooks/7358153986/
  • 3. http://neoformix.com/
  • 4. MAKING SENSE OF DATAhttp://sigmajs.org/examples/gexf_example.html
  • 5. SEVEN STAGES OF VISUALIZING DATA• Acquire• Parse• Filter• Mine• Represent• Refine• InteractVisualizing Data, Ben Fry, O’Reilly
  • 6. ONE DIMENSIONhttp://en.wikipedia.org/wiki/File:DNA_sequence.svg
  • 7. TEMPORAL
  • 8. 2D -MAPS
  • 9. 3D - MOLECULEhttps://www.flickr.com/photos/schoschie/92731168/
  • 10. 2D VS 3D• Actually quite controversial!• The general recommendation is to avoid3D in data visualization as it can presentproblems with occlusion and navigation• Most visualizations stay in the 2D or 2.5D
  • 11. MULTIPLE DIMENSIONShttp://en.wikipedia.org/wiki/Iris_flower_data_set
  • 12. TREE OF LIFEhttp://www.jasondavies.com/tree-of-life/
  • 13. TREE MAPhttp://mbostock.github.io/d3/talk/20111018/treemap.html
  • 14. NETWORKhttp://mbostock.github.io/d3/talk/20111116/force-collapsible.html
  • 15. CLASSIFICATIONS OF VISUALIZATIONS• InfoGraphics vs. Data Visualization• Exploration vs. Explanation• Informative versus Persuasive vs. Visual ArtDesigning Data Visualization, Noah Iliinsky and Julie Steele,O’REILLY
  • 16. TELLING A STORYThe nature of the visualization depends on which relationship (between two of the threecomponents) is dominant
  • 17. VISUAL INFORMATION-SEEKINGVisualization mantra:• Overview first, zoom and filter, then details-on-demand. [Shneiderman]
  • 18. DEMOMaster on Software Engineering Human-Computer Interaction
  • 19. GEPHI - OPEN GRAPH VIZ PLATFORMhttp://gephi.org/
  • 20. NODEBOX - CREATE GENERATIVE DESIGNhttp://nodebox.net/
  • 21. PROCESSING - PROGRAMMING LANGUAGE ANDENVIRONMENT FOR PEOPLE WHO WANT TOCREATE IMAGES, ANIMATIONS, ANDINTERACTIONS.http://processing.org/
  • 22. THANK YOUStefan Negru• stefan.negru@info.uaic.ro• http://blankdots.com• http://is.gd/visualization• http://profs.info.uaic.ro/~stefan.negru/studentprojects/

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