How To Use Visualization Techniques

Over the years, computers and software applications have indeed come a long way. From business applications and data management, to games and leisure, and information technology solutions, they have, more than anything, provided solutions to almost any daily activity.

Computer animation may be more popularly known as the programs that can create animated movies. Because of the unique and creative graphics and ‘visuals' that they can produce, visualization techniques now also provides architectural graphics, architectural renderings, data mining, and 3D modeling, among others.              

Here are different visualization techniques, with corresponding descriptions for some of these techniques:

1. Parallel coordinates. This means visualizing high-dimensional geometry and an analysis of various data. A backdrop is composed of parallel lines (normally vertical and with equal spaces) to illustrate a set of points in an n-dimensional space. A polyline with vertices on the parallel axes represents a point in n-dimensional space; the i-th coordinate of the point corresponds to the position of the vertex on the i-th axis.

2. Brushing and linking. This technique works by associating two or more views of a single data, to demonstrate that a change in the representation of one view will also change and influence the representation of the other views. By applying this technique, one can designate a color for each representation to differentiate the various data present being analyzed.

3. Hyperbolic trees. This is a visualization method based on hyperbolic geometry. With this, the hyperbolic space can occupy hyperbolic trees with wider spaces in between. This means all the nodes, from the parent to even the children nodes can have the same amount or space around them instead of being placed close by the boundaries of the hyperbolic space.

4. Venn Diagram. This is an assembly of simple closed curves illustrated in a plane. The principle of these illustrations is that they are represented by regions related to one another that all of their probable logical relations can be seen by viewing the same single diagram. All factual or possible relations can be placed and you would just simple identify and label all these areas as null or not null. This leaves all areas ready for analysis and interpretation. Also, in Venn diagrams, circles (or whatever shapes are adapted) usually overlap, as this is the part that would represent the commonalities or a reflection of the similarities of the items or data being compared in the plane. If more than three sets are present, the Venn diagram is already deemed necessary.

5. Other techniques are:

  • Constructing isosurfaces
  • Table, matrix
  • Graphs (tree, network diagram, existential graph, etc.)
  • Maps
  • Treemap - a visualization technique aimed at hierarchical data
  • Euler diagram
  • Cluster diagram or dendrogram

Remember that not all techniques may be applied to all situations and that the visualization technique that you use can greatly determine the success and efficiency of your data or information. By carefully studying the factors that need to be considered, visualization is a very effective means to represent data.


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