VI 5

100%

✓ Published0🌍 Public

Last edited Feb 24, 2016

Created on Feb 24, 2016

Two bar charts compare the same seven-row dataset of yearly values across four series. The first chart applies a 3D perspective projection, causing distant, shorter bars to be partially occluded and visually compressed, obscuring their true values. The second chart renders the identical data as a flat 2D bar chart using R’s base graphics, eliminating distortion and occlusion. The example demonstrates how dimensionality affects readability, with the 2D version providing clear, accurate comparisons. The code uses R’s `barplot()` and matrix manipulation for the dataset, with no external libraries.

AI-generated description

Rule: no unjustified 3d- perspective distortion and occulusion hides information.

I have taken a sample dataset and represented them in barcharts.

The first chart is a bad chart because the bars which are shorter and present at a farther distance are not visible(occulusion hides information) and the bars at the farther distance appears to be smaller in size (perspective distortion)

The second chart is a good one beacause we are not facing any problems that we come across in 3D representation.

BAD CHART: R image

GOOD CHART: R image

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