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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.
I received a zero for the section where I was supposed to upload an image, but the image I described below, where my description got a perfect score, shows up when I run this code.
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# Add your filename and uncomment the following line:
Image(filename='bad data viz.png')
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Describe in detail the ways in which the visualization violates graphical integrity and excellence:
This article about stock prices is a bad way to demonstrate quantatative data. There is no sense of relativity or context given by the article. The article does not relay historical trends of the data to show how significant the changes may or may not be. By just using numbers and not a visual display it is hard to tell if the change in numbers was a positive thing or a negative one, because it is difficult to tell the tone of the article. The article implies certain correlations to the data without backing them up. The article does not cite its sources so there is no way to verify the data it talks about.