If you're interested in measuring real user web performance, you'll find tools like boomerang or episodes quite handy. Some popular web frameworks even have modules that make it easy to add them to your site. However, what does one do once one has collected the data? How do you filter out the noise and get meaningful insights from the data?
In this talk, I'll go over the techniques we've picked up by analyzing millions of datapoints daily. I'll cover some simple rules to filter out invalid data, and the statistics to analyze and make sense of what's left. Do you use the mean, median or mode? What about the geometric mean and standard deviation? How confident are we in the results? And finally, why should we care?
This talk should help you gain useful insights from a histogram, or at the very least point you in the right direction for further analysis.