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from IPython.display import Image
Find a data-focused visualization on one of the following websites that is a positive 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 [4]:
# Add your filename and uncomment the following line:
Image(filename='alcohol-consumption-by-country-pure-alcohol-consumption-per-drinker-2010_chartbuilder-1.png')
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Describe in detail the ways in which the visualization exhibits graphical integrity and excellence:
YOUR ANSWER HERE
This graph is clearly labeled, the title and labels describe what the graph is trying to represent limiting graphical ambiguity and distortion while at the same time using a good data-ink ratio. The layout is well designed and the ideas in this graph are communicated clearly (it is clear that the graph is comparing alcohol consumption per drinker in each country). Although the uploaded image is quite large, the size of the image in the article was an apropriate, thus allowing this figure to represent the data efficiently in a small space. The repersentaion of numbers is directally proportional to the numerical values represented. Based on the article this graph was from, the data represented was not used out of context and appears to tell the truth about the data.