You may have heard the term 'outlier' in discussions about data. But what does this actually mean? Well, an outlier is simply an unusually high or low value in comparison with the rest of the data set. Why are outliers important when analysing data? Let's say that, in consecutive months, a Skool community made the owner $350, $275, $415, $600, $72,000, $555 and $405. Some people might say that the owner made an 'average' of $10,657.14 per month over seven months. But would that be a good representation of the past seven months?