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juancortr

3D EPI Data Visual analitycs

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What:

structure:Table    
A Quantitive attribute: indicators
A categorical attribute: Countries

Why:

Present the distribution of the information of a country in all their aspects like politics,economics,environment etc.

How: Polar Area 3D chart

	mark:

			-3d area
      -3D volume
      
channels:

			Angle to express dimension
      color to differentiate dimension
      3d Volumen
      

Expressiveness:

The color channel do not match some indicators the data is not show in an order way and it show more information that the dataset has like the volume chart and the angle position of each indicator. Because it id 3d some indicator are covering others. Other important aspect is that the kind of measures of each indicator are not show so what is the range, domain of each data?

Effectiveness:

This charts do not use the most important channels to show the indicators. It use 3d position so it is difficult to compare, it use angles and areas and the dataset is not too complex to use that.

Development:

First, the best form to show quantitive attributes is with 2D chart. Second, using principal marks like lines, points and channels like bars to compare the principal information. Other channels like shapes to show secundary information like the mean of those indicators to understand without read.finishing, the best colors to use are those have strong tones because it is more easy to differentiate.

forked from tizon9804's block: 3D EPI Data Visual analitycs