In [1]:
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.
In [2]:
Image(filename='infograph2.png')
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Describe in detail the ways in which the visualization violates graphical integrity and excellence:
Without consulting Tufte's guide, this is already a terrible example of data visualization. Fistly, this gives no context. Someone scanning by this graphic (as I was) would have no idea what it's refering to. The article containing this graphic was focused on wildlife and preserving the nation's natural beauty. However, even after reading the article, I still have NO idea what this graph is supposed to convey. It is entitled "Priority Index", but what priority are we talking about? And what kind of scale is given in the legend? Perhaps it's a percentage of how prioritized a certain region is for preservation, even then, what does that percentage imply? What would 100% be considered? I feel if a visual stirs up this much confusion, it was not properly created and is not even worth including in the article. And the bold numbers printed on the map itself, no information given at all as to what those refer to.
As for Tufte's analysis, the data-ink ration is very good since almost everything on the map stands for something (even if what it stands for is obscure). However, being out of context demerits this visual a lot. There is very little labeling and a lot of ambiguity.