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many statistical analysis techniques exist. different ones are better suited to different problems. some of them are easy to learn, others are harder. you can discover which ones you like most by playing around with them. the statistics tools at the statistics tab of the program help you select the ones that are best suited for your problems. you can also use an example file and manually change the variables."a window is open in the statistics tab showing the expected number of vote averages from a randomized sample. click "gen r data" to generate 1000 samples of 24 by 24 size. for each sample, the program computes 95 percent confidence intervals, which are listed in the statistics tab. this is your sample."hello, could you please show the code example of the join? when calling the chrooting function with a variable (locations) and a dictionary, it is not expected to work as is. this is because locations is a list of lists which means that the first element of locations is a list while the second element of locations is a dictionary. maybe you could try with the following example:the examples i included are for the european version, but are illustrative of the technique. since the next version will have more countries (including the us), i will likely include a solution for this as well.hello, i cant say for sure but it would be very likely that there are no more available points than those found in the points file. there would have to be a scenario where all the output data would be added to the points data, which usually comes from zipping the points file, and running a program that reads both files. this is already implemented in datacalc - statistics report features.
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