I have a rather trivial question. Recently I started working with log-log scales and I am confused about one thing. Suppose you have an $n$ powered function. To obtain a linear plot, you have two options:

  • (1) you could plot $log(x)$ and $log(y)$ values on the normal linear scale (aka the normal number line)
  • (2) plot them as the $x$ and $y$ values are on a log-log scale.

I have tried both methods and I have obtained the same exact plot from both of them (as expected). The only difference (as expected again) was the numbers.

So my question is this: what is the real difference between these two methods? Why do we have two methods for linearizing functions? Does the log-log scale exist only to allow us to preserve the original ($x$,$y$) values?


1 Answer 1


The point of plotting the stuff on the log scale on both $x$ and $y$ is that, as you mentioned, the original $(x,y)$ values are preserved, and that you can quickly look to see if the data follows a power law distribution if the plot is approximately linear. Plotting the data on the log-log scale is preferred.


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.