Icon based visualization techniques

Icon based visualization techniques

1. ICON BASED VISUALIZATION TECHNIQUES PRESENTED BY: WAFA QAISER KHAN

2. ICON BASED VISUALIZATION TECHNIQUES Uses small icons to represent multidimensional data values. TWO POPULAR ICON-BASED TECHNIQUES Chernoff faces Stick figures

3. General Techniques: Shape coding: Use shape to represent certain information encoding.

4. Color icons: Use color icons to encode more information. Tile bars: Use small icons to represent the relevant feature vectors in document.

5. CHERNOFF FACES I ntroduced in 1973 by statistician Herman Chernoff . They display multidimensional data of up to 18 variables (or dimensions) as a cartoon human face. Chernoff faces help reveal trends in the data.

6. A way to display variables on a two-dimensional surface. For instance, let x be eyebrow slant, y be eye size, z be nose length, etc. The above figures show faces produced using 10 characteristics--head eccentricity, eye size, eye spacing, eye eccentricity, pupil size, eyebrow slant, nose size, mouth shape, mouth size, and mouth opening .

7. Viewing large data can be tedious. Chernoff faces make the data easier for users to digest.

8. STICK FIGURE This technique maps multidimensional data to five-piece stick figure. Each figure has four limbs and a body. Two dimensions are mapped to the display (x and y) axes and the remaining dimensions are mapped to the angle or length of the limbs.

9. Figure shows census: Age and income are mapped to the display axes. Remaining dimensions gender, education and so on are mapped to stick figures. Stick figures having a similar shape, means that they are similar with respect to the dimensions that are assigned to the limbs of the stick figure icon. The resulting visualization shows texture patterns, reflecting data trends.

10. CONCLUSION Chernoff faces help reveal trends in the data and are easy to understand. Stick figures maps multidimensional data to five-piece stick figure.

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