Practical Guide to Outlier Detection Methods

I am going to talk about the details of four outlier detection methodologies implemented in R Studio. I will be mentioning what the outlier is, why it is important and why outliers occur. To put simply, an outlier is a data point that differs greatly (much smaller or larger than) from other values in a dataset. Outliers may be because of random variation or may demonstrate something scientifically interesting. In any event, we should not simply eliminate the outlying observation before a careful investigation.