Team 8B pg.289317 Presented by:

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Team 8B (pg.289-317)Presented by

• Siew Lim
• Christina Laurentia
• Charlie ONeal

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Brief History of Metaphor Mixer (MM)

• Designed in marketed by Maxus Systems
  International
• Brought to market in 1991
• Originally developed for use with financial
  applications

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Converting data into Metaphor Mixer

• Reuters, DBC, Signal, and Knight-Ridder
• Flat file ASCII formats
• OLAP
• DDE
• CARPI

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Defining the Metaphor Mixer Displays

• Designating Border Elements
• Controlling the appearance of individual elements
• Using arrow displays to describe trends

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Designing Border Elements

• Provides a big picture of the data set while
  supporting the ability to drill down the details
  of individual data elements
• Display consists of a planar, categorically-define
  d surface intersecting a continuous numerical
  axis
• Various levels of abstraction using the border
  elements

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Metaphor Mixer Information Terrain
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Controlling the Appearance of Individual Data
Elements

• Uses a configuration dialog to map the different
  dimensions against one another within the terrain
• Display characteristics assigned to individual
  data elements that can be changed through simple
  interface parameters
• Many combinations of display characteristics that
  can be generated in a single terrain

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Using Arrows to Describe Trends

• Displays were originally developed to show
  changes in stock prices
• Assigning an arrow vector to reflect a certain
  set of conditions can allow for differences in
  data sets to be discovered more quickly

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Flying through the Data

• Uses 3D to navigate through flight paths
• The ability to define flight paths that can be
  traversed through the data set
• Flight paths can also be created dynamically
• so that other users can see
• the intended results
• of the analysis

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Navigating in Wire Frame Mode

• Helps speed up the execution when using
  low-throughput processors or memory lagging
  systems

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Working with the Interactive Agent

• Direct approach allows the agent to move you to
  the object of interest. No frills
• Alternative approach allows the agent to generate
  a series of neon frames. Providing a tunnel like
  view so the users can navigate their way through
  the data

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Controlling the environment

• Metaphor mixer(MM) has a control that can be used
  to manage all of the different variables
  represented within a terrain.
• A hypertext drill-down on the individual
  attribute information is presented within the
  main console.

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Multimedia representations within the MM display
Figure 8.19
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Future directions of metaphor mixer

• Dimension table, fact tables and star schemas
  associated with OLAP system
• Maxus
• Internet telephone capability

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Visible decision In3D

• In3D does not directly support any data access
  mechanism.
• In3D API methods, customized routines must be
  created to populate its internal data structures.
• In3D can support real-time data feeds if it has
  been specifically programmed to do so.

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Visible decision In3D (cont.)

• In3D visualization layer can be applied on top of
  many other environments for better data
  management and analysis.
• In3D Studio is very interactive and provides a
  way to create entire standalone application or
  new modules for existing application.
• Parameters associated with each component can be
  used to customize their behavior and
  look-and-feel.
• In3D has a lightweight C-like interpreter called
  Eye for handling run-time expression evaluation.

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Working with In3D

• Working with In3D is called a Model-View-Controlle
  r paradigm.
• The data set(Model) are separated from the
  visualization(view), which are both manipulated
  using various filter operations (Controller).
• The data are stored within In3D as containers
  represented as arrays.

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Defining slices of data within In3D
Figure 8.20
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Viewing the data

• In3D offers a number of different view such as
  boxes, triangles, lines,surfaces, grids, prisms,
  spheres, cylinders, cones, and text.
• There are many different kinds of views available
  within In3D(e.g, single,multiple, and 2D
  multiple) and they are characterized by the
  amount of data they represent.

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A surface generated by In3D
Figure 8.21
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Constructing compound views

• a compound view groups one or more views into
  a single entity, presenting a uniform set of
  properties as its combined interface

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Multiple views within an In3D landscapes
Figure 8.22
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Manipulating multiple perspectives

• The most basic physical dimensions for
  conveying information about data include
  color,width, height, depth, and radius.

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Interaction functions supported in In3D

• Selection- Occur by simply clicking the mouse on
  a view or set of views present with any display.
• Brushing- Provides a dynamic way to expose
  additional detail regarding certain views in the
  display.
• Controllers- Defined by In3D reflect standard
  buttons, levers, and sliders

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Interaction functions supported in In3D ( cont.)

• Navigation- You can tilt, pan, or zoom through
  the display.
• Sensors- Can be positioned in the landscape and
  triggered when navigate over them.
• Commands- To act on the state of the application.

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Showing detail through brushing in In3D
Figure 8.23
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Landscape Visualization tools Spotfire

• Is an interactive visualization system that has
  been used for an extended variety of application
• Runs on Windows 95/NT
• Need to use flat ASCII files and ODBC connections
• Spotfire can display data along with supporting
  background information
• Spotfire also accepts maps generated by MapInfo,
  which means you can overlay your data onto map
  displays to show geopositional relationships.

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Spotfire contd

• Example of graph produced by Spotfire
• Set of sliders on right-hand side of the screen
  represent the variables available to the system
• Adjusting the values on these sliders reflect a
  combination of values by which to focus your
  analyses.

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Visual Insights

• Visual Insights components support a C class
  library
• Can be used in Windows and Unix
• Provides robust and flexible environment from
  which to create new visualizations.
• Methods available navigating, filtering, and
  analyzing
• All of the interactive tools are linked so that
  changes made in one display are propagated to all
  the other displays.

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Visual Insights contd

• Visual Insights uses glyphs. Glyphs are symbols
  used to represent abstractions of the contents of
  the data, and they can have different shapes,
  sizes, and colors.
• Uses Animations features

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Visual Insights contd

• Visual Insights has several interactive
  visualization tools
• Using the text patterns tool
• Using the event trails tool
• Using the data constellations tool

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Visual Insights contd

• Using the text patterns tool
• Each line of code is represented as a row within
  a rectangle. The code can be colored based on a
  variety of attributable values including dates
  (age), programmer or its intended functionality.

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Using the text patterns tool
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Visual Insights contd

• Using the Event Trails Tool
• May be used to analyze streams of time-stamped,
  typed messages. Each message is represented with
  a color-coded tick mark.

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Visual Insights contd

• Using the Data Constellations Tool
• To displays data as networks of interconnected
  nodes.
• Placements of the nodes displays is based on
  their interactions.
• The example demonstrate the use of visual
  insights tool to show geopositional information.

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AVS/Express

• Advanced Visual System
• Run under Unix and Windows
• AVS approach is to provide an environment with a
  set of libraries, data structures, and other
  support software, which gives you the flexibility
  and power to create your customized visual data
  mining environments.
• Is being used in a wide variety of industries

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AVS/Express contd

• The methods to create systems within AVS/Express
  are based on a flow-chart-like approach where you
  construct the type of visualization what is to be
  generated.
• New objects can be created through various
  programming languages including C, C, and
  FORTRAN.
• The objects tend to be polymorphic, which means
  that the objects are not specific to any
  particular type of data and can be reused over a
  wide range of data types including integers,
  floats, doubles, and characters.

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AVS/Express contd

• AVS provides basic rendering primitives such as
  images, polygons, lines, and text in addition to
  various display parameters such as colors, fills,
  transparency, shading, and much more.
• AVS can be applied to virtually any type of data.
• The figure shows an AVS/Express screen showing a
  J.P. Morgan mortgage application.

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IBM Visualization Data Explorer

• Is a generic data visualization system that can
  be used to create a wide range of applications
• Is supported on Windows and Unix
• The approach is through the construction of
  networks.
• Through a set of simple interfaces, you can
  drag-and-drop different display modules ranging
  from annotations to import functions.
• Support a high-level scripting language and
  programming API.

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IBM Visualization Data Explorer contd

• DX has the ability to create both 2D and 3D
  representations and includes everything from
  vector glyphs to isosurfaces.
• Methods available to define ribbons, tubes,
  axes, meshes, boundaries, streakline,
  streamlines, arrow plots, and more.

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Christinas question

• Question
• What are interactive visualizations tools that
  are included with Visual Insights? Explain them.

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Siews Question

• Question
• What are the interaction functions
  supported in In3D? Explain any two.

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Charlies Question

• What is the advantage when a flight path is
  created dynamically?