Find trends in noisy data

If you’ve ever worked with large volumes of raw data, you’ve likely dealt with annoying outliers and crowded graphs. This noise can make analysis challenging and obscure trends in data. Some of these problems can be avoided by cleaning your data. One of my favorite ways to do so is by using deciles. A decile is just a simple method of splitting up a ranked set of data into 10 equally large subsections. This categorizes large sets of ordered data …

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