5 Matching Annotations
 Mar 2023


There are two main reasons to use logarithmic scales in charts and graphs.
 respond to skewness towards large values / outliers by spreading out the data.
 show multiplicative factors rather than additive (ex: b is twice that of a).
The data values are spread out better with the logarithmic scale. This is what I mean by responding to skewness of large values.
In Figure 2 the difference is multiplicative. Since 27 = 26 times 2, we see that the revenues for Ford Motor are about double those for Boeing. This is what I mean by saying that we use logarithmic scales to show multiplicative factors


www.graphpad.com www.graphpad.com

Using a logarithmic axes on a bar graph rarely make sense.

 Oct 2022

expert.cheekyscientist.com expert.cheekyscientist.com

Additionally, make sure to use both forward and side scatter on log scale when measuring microparticles or microbiological samples like bacteria. These types of particles generate dim scatter signals that are close to the cytometer’s noise, so it’s often necessary to visualize signal on a log scale in order to separate the signal from scatter noise.

 Sep 2021


Ciccione, L., SabléMeyer, M., & Dehaene, S. (2021). Analyzing the misperception of exponential growth in graphs. PsyArXiv. https://doi.org/10.31234/osf.io/dah3x

 Apr 2020

psyarxiv.com psyarxiv.com

Romano, A., Sotis, C., Dominioni, G., & Guidi, S. (2020). COVID19 Data: The Logarithmic Scale Misinforms the Public and Affects Policy Preferences [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/42xfm
