Steven Sanderson had me thinking of LOESS but then, bam!, snuck this in on me:
Locally Weighted Scatterplot Smoothing, or Lowess, is a powerful technique for capturing trends in noisy data. It’s particularly useful when dealing with datasets that exhibit complex patterns that might be missed by other methods. So, let’s get our hands dirty and start coding!
Read on for an example of LOWESS smoothing, which actually is a little different from LOESS. If you’re interested in learning more about the differences between LOESS and LOWESS, this Stack Exchange question and answer page is really good.