In [2]:
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 [5]:
# Add your filename and uncomment the following line:
Image(filename='Bad_Graph2.png')
Out[5]:
Describe in detail the ways in which the visualization violates graphical integrity and excellence:
This graph violates graphical integrity and excellence in many ways. The biggest issue with this graph is the data ink vs the graphical ink. The graphical ink vastly outweighs the data ink, especially due to the blue background behind the best fit line. The blue background also muddles the best fit line due to the best fit line being blue and the background being blue. The gridlines are also unncessecary as they just add more graphical ink to interfere with the data ink. All in all, this is not a very good graph and there are many ways that it can be improved.
In [ ]: