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 [3]:
Image(filename='tax-dollars.jpg')
Out[3]:
Describe in detail the ways in which the visualization violates graphical integrity and excellence:
The first violation is the lack of title on the actual visualization itself. Without a title, it is unclear what the graph is about and time is wasted trying to discern the subject. The images of the nickels and pennies representing the number of cents for each category are unnecessary additions that add no new information to the image. They are just wasting space and taking up too much room. Also, the central image is untitled, so it is unclear without context what all these categories are leading too. For the everything else category, the text describing it is out of the way and small, which makes it easily missed. The categories are also all over the place, and are not arranged in any sort of logical way, meaning that they again waste space. This entire visualization's purpose seems to be more about looking pretty than to actually represent the data in a concise way.