Amy Esselman keeps track of axis:
One of the most common pitfalls in data visualization is manipulating axis scales in ways that distort the story. A frequent example is the use of logarithmic scales where they are not appropriate.
Let’s walk through a case where this choice can mislead, even if unintentionally.
Amy has some good guidance on when you should use log scale, as well as a good example of a case where applying it incorrectly can lead to distorted results.