From the course: Tableau and R for Analytics Projects

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Explore outliers and outlier detection

Explore outliers and outlier detection

From the course: Tableau and R for Analytics Projects

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Explore outliers and outlier detection

- [Instructor] When you examine a data set, some values seem out of place. They could be much too high or much too low given the average of the entire data set. One question you should ask is whether those values are only unusual or are so far from the expected range that they represent a potential problem. As we might say where I grew up in the American South, these are values that just don't look right. These problem values are called outliers, and as I said, they could be too high or too low. Too high or too low is pretty vague, so we should try for a statistical definition. Data sets are often described using mean and standard deviation. Mean is the average value. So if you took all of the measures in a particular data set and divided by the number of measures, you would get the average. In statistics, that's called the mean. The standard deviation is a measure of how spread out the data is. In data that follows…

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