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so we talked a little bit about PCA and how we compute it the details are important but detailed so I recommend that you study the code itself what Im going to tell you here is much more of the practical side how do we actually do this processing in in spark so the first thing to do is to load the data and this is the data that that were using its a data that I got from the NOAA and this is these are the main files that have information in them especially this one that that describe whats whats exactly is in the data but but roughly speaking its its 10 its four different stations across the world its the temperature measurements precipitation measurements and snow measurements and things like that so what you can see from analysis that Im not showing here is that that most measurements exist only for a tiny set of stations in years so there are a lot of possible measurements but for most of them we have almost no data so it doesnt make sense to try to analyze them in this a