1.
Exploratory Data Analysis
1.1. EDA Introduction


Quantitative/ Graphical 
Statistics and data analysis procedures can broadly be split into two parts:  
Quantitative  Quantitative techniques are the set of statistical procedures that yield numeric or tabular output. Examples of quantitative techniques include: These and similar techniques are all valuable and are mainstream in terms of classical analysis.  
Graphical  On the other hand, there is a large collection of statistical tools that we generally refer to as graphical techniques. These include:  
EDA Approach Relies Heavily on Graphical Techniques 
The EDA approach relies heavily on these and similar graphical
techniques. Graphical procedures are not just tools that we could
use in an EDA context, they are tools that we must use.
Such graphical tools are the shortest path to gaining insight into
a data set in terms of
