4/7/2024 0 Comments Xlstat cluster analysis![]() You will take a small subset of this data (I recommend n=400, so as not to upset XLSTAT too much: some clustering algorithms grind to a halt with large data sets). If you don’t have a data set of your own you’d like to explore, I recommend taking a random subset of the OregonPUMS_data. Trial and error is the spice of life! You will begin by opening a small data set. Please relax into it and have some fun with the process: think of it as an exploration. Please note this project will likely take some trial and error. Your “story” will be an explanation of your data that highlights some interesting feature(s) or makes a point about the data. I’m asking you to divide the Oregonians in your sample into groups or clusters based on two quantitative variables. For this project, we’re going to use cluster analysis to “tell a story” about our data. ![]()
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