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Sydnee S

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.
Tanner B

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.
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  • 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.
Tanner B

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.
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  • 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.
Tanner B

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.
Sydnee S

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.
Vicki Davis

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."
Tanner B

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.
Sydnee S

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.
Sydnee S

Detecting Flaws and Intruders with Visual Data Analysis - 0 views

www.computer.org/...MCG.2004.26

shared by Sydnee S on 30 Mar 10 - Cached
  • Most of the analysis methods in use today are highly automated due to the enormous size of the collected data.
    • Sydnee S
      Sydnee S on 30 Mar 10
       
      The methods for data analysis must change because of the large amounts of data that have been collected over the years.
  • presents interactive visualization as an alternative and effective data exploration method for understanding the complex behaviors of computer network systems.
daniel manny

The Next Wave of AR: Exploring Social Augmented Experiences at Where 2.0 | Ug... - 0 views

www.ugotrade.com/...ented-experiences-at-where-2-0

augmentedreality

shared by daniel manny on 30 Mar 10 - Cached
  • 1) “Augmenting the map as interface: AR and Locative Narratives” - Jeremy Hight *Map augmentation of the historic route 66 can house an essay contest and publication globally but as embedded within that map augmentation instead of books or even web sites. * A place on a map can be a graphic index and database to save and collect the writing of that place with a graphic or textual search index. *One can pop immersive visualizations of abandoned or lost buildings from map location in shared software and collectively augment (imagine channels within the lost core of detroit where one is memories and accounts tagged within parts in the immersive visualization while another is of poems and stories written by people moved by the place and its semiotics and story). *The news stand is to be the map. *New forms of literature will be born of mapping, spaces,augmentation and new tools
  • “With the exotic mixed realities envisioned by futurists and science fiction writers seemingly around the corner, it is time to move beyond questions of technical feasibility to consider the value and impact of turning reality inside out for everyday social settings and experiences. Thanks to the inherently social nature of augmented reality, we can be sure the value and impact of many augmented experiences depends in large part on how effectively they integrate with the social dimensions of real-world settings, in real time.”
  • I will have the awesome privilege, on our Where 2.0 panel, of showcasing ARWave.   We will  premier the ARWave demo which shows how ARWave has accomplished the basics of geolocating data on Wave Federation Protocol (and real time collaboration on this geolocated data).  If you’re interested in the ARWave project join the Mailing list, FAQ are here, and have a peek at the current state of development at Google Code, and the specification for an AR Blip.  We also have Waves for the project hosted on Google Wave.  You can join the general discussion here, and the technical side here. The picture below is a screen shot from the demo video produced by core AR Wave developer and concept designer, Thomas Wrobel. Click on the image to enlarge, and note: “The pink thing is from Dennou Coil. Its an anti-virus program (that literally chase’s down bugs and glitches and removes them).” ARWave
  • ...2 more annotations...
  • “The possibility exists to take a part of an area and overlay a dystopia, a utopia, multiples of each of these, or even recreations of previous incarnations in the past. Writing and publication thus cannot only be of place, and form(s), but of selected augmentations of icons, streets, buildings and related texts on top of the map. These spaces can be built in real time and can be turned on and off as channels of augmentation that over time illustrate many faces of place in its present, past, possible futures,etc. with texts within these alternate spaces as commentary, as fused aesthetic analysis, or simply creative writing relevant to these charged and hybrid spaces.”
  • “Layar has a killer browser already,  ARWave would add social features. They can keep their “walled garden” of data and still join the federation of open data too ” (Thomas Wrobel) Yup, that is the cool part of federation – you can have your cake and eat it too! Sophia Parafina and I will be organizing a discussion session on ARWave and Federation at WhereCamp, right after Where 2.0, April 3rd and 4th, and Dan Peterson who is in leading the federation effort for Google Wave will join us. The diagrams below illustrate how ARWave and federation can revolutionize the way we share our augmented realities.
  • daniel manny on 30 Mar 10
     
    The Reviews and Critics
Mia M

Gapminder: Unveiling the beauty of statistics for a fact based world view. - Gapminder.org - 0 views

www.gapminder.org

visualdata video

shared by Mia M on 22 Mar 10 - Cached
  • Mia M on 22 Mar 10
     
    Statistics for a fact based world view. This website is a great tool for research on visual data analysis
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