Chapter 4. Exploratory Analysis
Tukey (1977) in his benchmark book Exploratory Data Analysis, abbreviated popularly as EDA, explains the best about the "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 Exploratory Data Analysis (EDA) and its strength.
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. Furthermore, the more popular measures include the mean, standard error, and so on. It has been proved many times that mean has several drawbacks; one being that it is very sensitive to ...
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