What is Exploratory Data Analysis

Let’s begin learning about “What is Exploratory Data Analysis” and about “what techniques are used in Exploratory Data Analysis”

Exploratory Data Analysis (EDA) helps in finding hidden information by displaying data in generally two or three dimentions.

It is an approach to analyze data sets to summarize their main characteristics, often with visual methods.

There are a number of tools that are useful for EDA.Nowadays some popular tools for EDA among the data scientist are R and python.

Some techniques used in EDA are:

Box plot
Histogram
Scatter plot
Parallel coordinates
Multidimensional scaling
Principal component analysis

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