Tukey (1977) in his benchmark book Exploratory Data Analysis, abbreviated popularly as EDA, describes "best methods" as:
We do not guarantee to introduce you to the "best" tools, particularly since we are not sure that there can be unique bests.
The goal of this chapter is to emphasize on EDA and its strengths.
In the previous chapter, we have seen visualization techniques for data of different characteristics. Analytical insight is also important and this chapter considers EDA techniques. Further, the more popular measures include the mean, standard error, and so on. It has been proved many times that the mean has several drawbacks; one of them being that it is very sensitive to outliers/extremes. Thus, in exploratory ...