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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.
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# Add your filename and uncomment the following line:
Image(filename='MarijuanaUsage.png')
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Describe in detail the ways in which the visualization exhibits graphical integrity and excellence:
Since it is 4/20, I have decided to dedicate this explanation of a good example of Tufts Visual Display of Quantitative Information. This is a good graph because it has both a title and a subtitle that describes the visual (the subtitle basically describes the y-axis). There are labels and colors that correspond to the legend. The lines in the graph make sense. There are only horizontal lines because there is no quantitative information on the x-axis (meaning, there is no real reason to have vertical lines). This looks even more professional because it does not have a box aorund the graph. Also, because I do a lot of front end development, the color scheme is awesome and visually appealing. The colors are in the same family but are still different.
This picture is from: http://www.vox.com/2014/4/19/5624560/420-americas-stoner-holiday-explained
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