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Visual Data Analysis - 3 views

it.toolbox.com/...Visual_Data_Analysis visual data visualdata analysis
shared by Sydnee S on 11 Mar 10 - Cached
  • facilitates human-data interaction by highlighting patterns, anomalies and alert conditions in reporting views...tables of data ready for human consumption.
    • Sydnee S
      Sydnee S on 30 Mar 10
       
      This is the basic definintion of visual data analysis
  • Some of these tools, such as Visokio Omniscope, are powerful hybrid desktop/web visualisation clients that can replace spreadsheets, presentation packages like PowerPoint, and create portable, reusable data files anyone can access, navigate and filter using a free viewer.
    • Sydnee S
      Sydnee S on 30 Mar 10
       
      These are some ways that visual data analysis is changing our world.
  • enables data to be interpreted holistically by exposing contextually meanful attributes of the data set such as patterns, trends, structure, and exceptions.
  • ...2 more annotations...
  • primarily focuses on visual presentation of tabular views ready for human consumption.
  • has proven to be a time saving means of communicating important metrics to executive management through the use of software.
  • Edward M on 11 Mar 10
     
    Visual data analysis facilitates human-data interaction by highlighting patterns, anomalies and alert conditions in reporting views...tables of data ready for human consumption. Visual data analysis enables data to be interpreted holistically by exposing contextually meanful attributes of the data set such as patterns, trends, structure, and exceptions. Visual data analysis may build upon prior logical processing via mathematical formulas, artificial intelligence or other automated mechanisms for analysis and improving data quality. Strictly speaking, visual data analysis primarily focuses on visual presentation of tabular views ready for human consumption.
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Visual Data Analysis, Scientific Computing - 0 views

www.scientificcomputing.com/visual-data-analysis.aspx visual data analysis
shared by Tanner B on 30 Mar 10 - No Cached
  • Visual Data Analysis (VDA) tool packages are powerful software tools that allow the development of complex solutions to visualize and analyze data.
  • The imaging features of a VDA package are often the most tangible aspect of the tool, but the overall effectiveness of a package is really based on its data manipulation and analysis capabilities.
  • A robust and flexible VDA tool should contain a broad range of mathematical, statistical and data manipulation capabilities, which are seamlessly tied to the visualization components through a high-level array-based scripting language.
  • ...5 more annotations...
  • Support for popular formats (XML, CDF, HDF, binary, ASCII, TIF) should be included in the base product, and services for customized data handlers should be available through the provider.
  • There are several factors that determine or impact performance, including use of pre-built data manipulation functions, limitations on data set size, parallelization, supported data types, and performance of the package's algorithms.
  • In general, the best performers will be the packages that support a broad range of data types, thus minimizing impact on memory requirements; support parallelization technology such as OpenMP; and have kernels optimized for visual data analysis.
  • Various techniques, solutions, and products are available on the market to visually analyze data, but few offer a full spectrum of visualization capabilities coupled with sufficient complementary analytical functionality.
  • In conclusion, a careful evaluation of key VDA tool characteristics, with the end solution in mind, should factor into the selection process to include the combined functionality, reliability, scalability, performance and portability of a VDA tool.
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2010 Horizon Report » Four to Five Years: Visual Data Analysis - 0 views

wp.nmc.org/...visual-data-analysis visual data analysis
shared by Tanner B on 30 Mar 10 - Cached
  • Visual data analysis blends highly advanced computational methods with sophisticated graphics engines to tap the extraordinary ability of humans to see patterns and structure in even the most complex visual presentations.
  • Data collection and compilation is no longer the tedious, manual process it once was, and tools to analyze, interpret, and display data are increasingly sophisticated, and their use routine in many disciplines.
  • In advanced research settings, scientists and others studying massively complex systems generate mountains of data, and have developed a wide variety of new tools and techniques to allow those data to be interpreted holistically, and to expose meaningful patterns and structure, trends and exceptions, and more.
  • ...8 more annotations...
  • Researchers that work with data sets from experiments or simulations, such as computational fluid dynamics, astrophysics, climate study, or medicine draw on techniques from the study of visualization, data mining, and statistics to create useful ways to investigate and understand what they have found.
  • The blending of these disciplines has given rise to the new field of visual data analysis, which is not only characterized by its focus on making use of the pattern matching skills that seem to be hard-wired into the human brain, but also in the way in which it facilitates the work of teams working in concert to tease out meaning from complex sets of information.
  • it possible for almost anyone with an analytical bent to easily interpret all sorts of data
  • Many are free or very inexpensive, bringing the ability to engage in rich visual interpretation to virtually anyone.
  • Online services such as Many Eyes, Wordle, Flowing Data, and Gapminder accept uploaded data and allow the user to configure the output to varying degrees.
  • By manipulating variables, or simply seeing them change over time (as Gapminder has done so famously) if patterns exist (or if they don’t), that fact is easily discoverable.
  • The promise for teaching and learning is further afield, but because of the intuitive ways in which it can expose complex relationships to even the uninitiated, there is tremendous opportunity to integrate visual data analysis into undergraduate research, even in survey courses.
  • Visual data analysis may help expand our understanding of learning itself. Learning is one of the most complex of social processes, with a myriad of variables interacting in highly complex ways, making it an ideal focus for the search for patterns.
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Visual Business Intelligence - Microsoft Excel's Idea of Visual Data Analysis - 0 views

www.perceptualedge.com/blog visual data analysis
shared by Tanner B on 30 Mar 10 - Cached
  • No software product is used more than Microsoft Excel for the analysis and presentation of quantitative data.
  • Nevertheless, it is fair to say that you can use Excel to present data effectively, but within severe limits, and only if you’re willing to work around its problems.
  • To say it can be used for visual data analysis, however, is a stretch that exceeds its reach. To date, Excel is at best an infant in the world of visual data analysis, barely able to roll over.
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  • Those of you who are familiar with visual data analysis and what good software does to support it will find Microsoft’s notion of visual data analysis entertaining. I invite you to watch Microsoft’s demo and let me know what you think of it.
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Horizon Report 2010 Resources about Visual Data Analysis - 0 views

delicious.com/hz10+analytics education learning hz10 analytics
shared by Vicki Davis on 08 Mar 10 - Cached
  • Vicki Davis on 08 Mar 10
     
    This listing of resources covers Visual Analysis. Visual analysis "blends highly advanced computational methods with sophisticated graphics engines to tap the extraordinary ability of humans to see patterns and structure in visuals."
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Horizon Report Wiki - 2010 Data Visualization - 0 views

horizon.wiki.nmc.org/2010+Data+Visualization
shared by Sydnee S on 30 Mar 10 - Cached
  • making it easy to carry interactive, visual representations of data wherever one goes.
    • Sydnee S
      Sydnee S on 30 Mar 10
       
      You can do things visually where ever you go.
  • Capturing and visualizing student data may enable teachers to make better decisions about what and how to teach.
  • New apps for mobiles place data visualization in the palm of one's hand
    • Sydnee S
      Sydnee S on 30 Mar 10
       
      Visual data is now accessible anywhere
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Challenges in Visual Data Analysis - 0 views

portal.acm.org/citation.cfm
shared by Sydnee S on 30 Mar 10 - Cached
  • data is produced at unprecedented rates.
    • Sydnee S
      Sydnee S on 30 Mar 10
       
      Data is constantly produced around the worlrd.
  • ability to analyze these data volumes increases at much lower pace.
    • Sydnee S
      Sydnee S on 30 Mar 10
       
      Since there is so much data to analyze, it is beginning to take much longer to analyze things.
  • leads to new challenges in the analysis process, since analysts, decision makers, engineers, or emergency response teams depend on information "concealed" in the data.
  • ...2 more annotations...
  • field of visual analytics focuses on handling massive, heterogenous, and dynamic volumes of information through integration of human judgement by means of visual representations and interaction techniques
  • combination of related research areas including visualization, data mining, and statistics that turns visual analytics into a promising field of research.
    • Sydnee S
      Sydnee S on 30 Mar 10
       
      The more this visual data analysis is worked on, the faster it will get.
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Data visualization - Wikipedia, the free encyclopedia - 0 views

en.wikipedia.org/...Data_visualization
shared by Sydnee S on 30 Mar 10 - Cached
  • Friedman (2008) the "main goal of data visualization is to communicate information clearly and effectively through graphical means.
    • Sydnee S
      Sydnee S on 30 Mar 10
       
      Visual data analysis is occuring.
  • process of looking at and summarizing data with the intent to extract useful information and develop conclusions.
    • Sydnee S
      Sydnee S on 30 Mar 10
       
      This is another definition for visual data analysis.
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Wondering what cool new technologies are on the Horizon? | Technology for Tea... - 0 views

wp.wpi.edu/...horizon-2010 visual data analysis
shared by Tanner B on 30 Mar 10 - No Cached
  • Data analysis is at the heart of many science and engineering fields, and so it is a topic of great interest here at WPI.  Visual data analysis is a field that uses modeling techniques to represent large data sets visually allowing the user or users to search for patterns and structures within the data.  Many visual data analysis tools are also on the horizon that will aid users in their data mining process.
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Mashable - Blog - 10 Awesome Uses of Augmented Reality Marketing - 2 views

m.mashable.com/...f9aedfe6f1096379fbd7df916bbb8a augmentedreality
shared by Honor Moorman on 02 Apr 10 - Cached
Nicholas B liked it
  • Honor Moorman on 02 Apr 10
     
    Visuals are an important part of advertising, so it's not surprising that so many companies have jumped on the augmented reality bandwagon, offering tools that visualize their products in a magical and memorable way. Here we take a look at some pretty amazing promotional uses of this new tech that work with common webcams, giving everyone a chance to experience augmented reality - a trend that will be big in 2010.
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Visual Dictionary Online | Diigo - 0 views

www.diigo.com/...F%2Fvisual.merriam-webster.com visualdata
shared by Madison W on 26 Mar 10 - Cached
  • Madison W on 26 Mar 10
     
    This site depicts how visual data can help to learn so much. Diagrams are shown, through a searchable site on any topic.
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7 Things You Should Know About Data Visualization II | EDUCAUSE - 1 views

www.educause.edu/...176803 visualdata hz10
shared by Mia M on 24 Mar 10 - Cached
  • Mia M on 24 Mar 10
     
    Essential information about Data Visualization
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DOE Visualization and Analytics Workshop June 7-8 2007 - 1 views

www.sci.utah.edu/vaw2007 visualdata hz10
shared by Mia M on 24 Mar 10 - Cached
  • Mia M on 24 Mar 10
     
    The final report concerning visualization and analytics after the DOE/ASCR Workshop Salt Lake City, Utah June 7-8, 2007
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Awesome Visualization of Social Media Usage Around the Globe [Infographic] - 1 views

mashable.com/...social-media-usage-global hz10 visualdata
shared by Steve Madsen on 19 Mar 10 - Cached
  • Steve Madsen on 19 Mar 10
     
    "Want to know how many people are microblogging in Australia? Or uploading photos online in Brazil? Or writing blogs in the Netherlands? There's a map for that - literally. TrendStream, who publishes the Global Web Index, has created a fantastic visualization that shows the penetration of different social technologies in major markets around the globe. The research is based on interviews with 32,000 Internet users in 16 countries." http://www.globalwebindex.net/
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New Visualization Techniques Yield Star Formation Insights: Gravity Plays Larger Role T... - 1 views

www.sciencedaily.com/...081231152305.htm visualdata hz10
shared by Edward M on 24 Mar 10 - Cached
  • Edward M on 24 Mar 10
     
    "You're learning about your data through visualization and interaction," said Halle. "You can take all the data, selectively filter it, and look at it in a different way."
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Cell phones in the classroom - O'Reilly Radar - 2 views

radar.oreilly.com/...cell-phones-in-classrooms.html education hz10 mobile
shared by Vicki Davis on 08 Mar 10 - Cached
  • uring the 2007-2008 school year, Wireless Reach began funding Project K-Nect, a pilot project in rural North Carolina where high school students received supplemental algebra problem sets on smartphones (the phones were provided by the project). The outcomes are promising -- classes using the smartphones have consistently achieved significantly higher proficiency rates on their end of course exams.
  • Vicki Davis on 08 Mar 10
     
    During the 2007-2008 school year, Wireless Reach began funding Project K-Nect, a pilot project in rural North Carolina where high school students received supplemental algebra problem sets on smartphones (the phones were provided by the project). The outcomes are promising -- classes using the smartphones have consistently achieved significantly higher proficiency rates on their end of course exams. So what's so different about delivering problem sets on a cell phone instead of a textbook? The first obvious answer is that the cell phone version is multi-media. The Project K-Nect problem sets begin with a Flash video visually demonstrating the problem -- you could theorize that this context prepares the student to understand the subsequent text-based problem better. You could also theorize that watching a Flash animation is more engaging (or just plain fun) and so more likely to keep students' attention.
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Learning using Large Datasets - 0 views

content.digitalwell.washington.edu/...lecture.htm visualdata
shared by Madison W on 22 Mar 10 - Cached
  • Madison W on 22 Mar 10
     
    This video shows how good visual data can improve learning
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Submit open content to the Sunlight Foundation's "Design for America" contest - Creativ... - 1 views

creativecommons.org/...21361 opencontent ebooks
shared by Miller S. on 30 Mar 10 - Cached
  • The Design for America contest is the Sunlight Foundation’s latest effort to modernize the United State’s information architecture and presentation. Their goal is “to make government data more accessible and comprehensible to the American public” by encouraging designers, artists, and programmers to reimagine government websites and to visualize government data and processes.
  • Provided you meet eligibility requirements, you can submit work to categories in Data Visualization, Process Transparency, and Redesigning the Government.
  • Miller S. on 30 Mar 10
     
    This blog is an advertisement to people for a Design for America contest. The goal of this contest is to obtain information architecture that will help make information more accessible.
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