I have a scatter plot where the data are distributed very unevenly.
If you can imagine the ares of the scatter plot divided into 4 quadrants, about half of the data (i.e., half of the data points) like in the bottom-left or southwest quadrant.
Apart from deleting the other half of the data as "outliers", is there a transformation or technique to represent this distribution?
Edit: I am looking for a general rule-of-thumb -- or heuristic if the $10 word makes you feel better -- similar in concept to the type of transformation heuristic that textbooks provide and practitioners use when faced with non-normally distributed data.
The point -- like distribution transformations -- is to get the data to act more linearly, because many parametric statistical techniques are linear "under the hood".
Thanks in advance!