Inform Visualization CS 7450
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This 0 page Study Guide was uploaded by Alayna Veum on Monday November 2, 2015. The Study Guide belongs to CS 7450 at Georgia Institute of Technology - Main Campus taught by John Stasko in Fall. Since its upload, it has received 40 views. For similar materials see /class/234085/cs-7450-georgia-institute-of-technology-main-campus in ComputerScienence at Georgia Institute of Technology - Main Campus.
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Date Created: 11/02/15
Introduction I CS 7450 Information Visualization Jan 9 2003 John Stasko Exercise at House directions 5mg m a mu 2 Data Explosion Society is more complex quot There simply is more stuff J Computers internet and web give people access to an incredible amount of data news sports financial purchases etc Spring m a mu 2 How much dat 9 pmduced p year 25 meg rm wewman mm m mm Data Overload Cmfnund Haw da we rude sense afthe data7 New pvaeeseesv H um an V on thesmamwnm sense F L para b anem mcngnmnn Prattmtw2 Pecme mm wsuaHy The challenge undasmwdwng nswght thus mm m usefu m peupe Exam ple cumquot rs Visualile the Data we nW v Even Tougher at a mm b mawmm g w hep paupb unda md and gem nswght mm m 0mg rSeeanxshdxevan m r n luvs 5 Wm a thausand Way Exercise Redux An interesting query People work differently Spring m a mu u Visualization Often thought of as process of making a graphic or an image Really is a cognitive process Form a mental image of something Internalize an understanding The purpose of visualization is insight not pictures Insight discovery decision making explanation Spring m a mu m Main Idea Visuals help us think Provide a frame of reference a temporary storage area External cognition Role of external world in thinking and reason Examples Spring m a mu 5 Information Visualization What is information Items entities things which do not have a direct physical correspondence Notion of abstractness of the entities is impor an 00 Examples baseball statistics stock trends connections between criminals car attributes Spring m a mu Is Information Visualization What is visualization The use of computersupported interactive visual representations of data to amplify cognition From Card Mackinlay Shneiderman 98 5mg m a mu n What It s Not Scientific Visualization Primarily relates to and represents something physical or geometric Examples Airflow over a wing Stresses on a girder Weather over Pennsylvania Spring m a mu xx Information Visualization Components Taking items without a direct physical correspondence and mapping them to a 2D or 3D physical space Giving information a visual representation that is useful for analysis and decision making Spring m a mu m Two Key Attributes Scale Challenge often arises when data sets become very large Interactivity Want to show multiple different perspectives on the da Spring m a mu zn Domains for Info Vis Text Statistics Financialbusiness data Internet information oftware Spring m a mu 2 chapters 1 and 2 D smss Intaresnng Thnughtpmvnkng AgreeD sagrae Examples w drugs 7 MW mmvansan 7 Bad m Atlanta Fl39 True Geography meE W Napolean s March we mz mm mm 3me 32 mm Example momma Exam ples Ea ware WW gummm Map of the M2534 StarTree W th tree SunBurst m Wm HomeF39nder Tasks InfoV s Peach 7 Fmqu a sperm were a mfmmatmn r Laak we m wiper samethmq m a wave Learn 2m mummy Tasks in Info Vis Analysis ComparisonDifference Outliers Extremes Assimilation Monitoring 0 Awareness Segue to next class Spring m a mu on Knowledge Crystallization Information foraging Search for schema representation Instantiate schema Problem solve to trade off features Search for a new schema that reduces problem to a simple trade off Package the patterns found in some output product From CMS 98 Spring m a mu u How Vis Ampli es Cognition i Increasing memory and processing resources available 0 Reducing search for information Enhancing the recognition of patterns Enabling perceptual inference operations Using perceptual attention mecahnisms for monitoring Encoding info in a manipulable medium Spring m a mu oz
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