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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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Image(filename='badgraphic.png')
# Second picture should be attached now
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Describe in detail the ways in which the visualization violates graphical integrity and excellence:
For the graphical integrity of this visualization, I would say it is a fairly bad graphic based on the contents. It has no clear indication of the amount of data taken to come up with the "78 cents per dollar" statistic. The data has been distorted to show the total amount of money made, not the money made with the factors added in. Also, from the article: "This data does not include factors such as education, job choice, experience, tenure or hours worked." For the graphical excellence, it doesn't have any multivariate factors or many ideas of why or how the data has been found. Anyone can come up with a statistic, but in order to have it truthfully represented, the data used must be shown or mentioned.