I have 10,000 data points like shown in this plot:
It's comparing the running time of some piece of code with the size of the problem it's running on.
(There are 2 important steps in the code; step 1's running time is in blue and step 2's is in green.)
I'm hoping to keep this grayscale-friendly, because I'm hoping to publish this and it may end up being in grayscale.
I'm trying to figure out how to best visualize this data. Currently I'm thinking it may be best to perform kernel density estimation in log-scale and just plot a smooth surface, but I'm not sure... is there a better way to visualize it clearly?