The understanding of the key features of a set of data - shape, center, spread, and outliers.
The qualitative description of the clustering of data points in a certain location when the data are graphed.
The "middle" of the data set. There are many measures of center.
The numerical description of how close the numbers are to the center.
Points in a data set that are so high or so low as to be unusual, given the rest of the values.