I might plot the CDF instead. That way you don’t need to smooth.
Only by applying a very smoothing transformation, namely integration. I think its harder to see what is going on in CDF plots, because its easy to see a line falling by 5%, but hard to notice a line getting 5% less steep.
For example, which of these plots is easier to read
Or
Plotting the CDF has turned a very obvious massive spike into a slightly flatter section. One of these curves is from normally distributed data. You can tell at a glance which it is from the top plot. The bottom plot makes it less obvious.
Yep. Testing this on bigger networks is on my todo list.
Only by applying a very smoothing transformation, namely integration. I think its harder to see what is going on in CDF plots, because its easy to see a line falling by 5%, but hard to notice a line getting 5% less steep.
For example, which of these plots is easier to read
Or
Plotting the CDF has turned a very obvious massive spike into a slightly flatter section. One of these curves is from normally distributed data. You can tell at a glance which it is from the top plot. The bottom plot makes it less obvious.
Yep. Testing this on bigger networks is on my todo list.
Perhaps it’s just me—I find the latter substantially more informative than the former. (For instance, the tail behaviour is rather more visible.)
(Also, your scale is off on the latter chart. It should be between 0-1, by definition.)