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from IPython.display import Image
Find a data-focused visualization on one of the following websites that is a negative example of the principles that Tufte describes in The Visual Display of Quantitative Information.
Upload the image for the visualization to this directory and display the image inline in this notebook.
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# Add your filename and uncomment the following line:
Image(filename='graph2.JPG')
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Describe in detail the ways in which the visualization violates graphical integrity and excellence:
Using the arrows to illustrate the change violates many of Tufte's principles. The arrows are all the same size no matter what the increases or decrease. This does not demonstrate graphical integrity because the effect in the data does not match the effect in the graph. The arrows are cumbersome to compare and do not encourage viewers to relate the different piece of data. Simply looking at this graph does not convey much information. It is inefficient because it takes more time for the viewer to comprehend the data. The data-ink ratio is not ideal. The information that is trying to be conveyed is the change, yet the numbers and titles are in the dark colors that distract and take up a lot of unnecessary space. This information could be more efficient if it concentrated on either the current rate or the change. Having old and new rates and the change is redundant information if the change is the emphasis. However if they want to emphasize the new rate, then the change is unnecessary.
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