Question

What is Exploratory Data Analysis?

Answer 1

Answer:

In statistics, exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task

Answer 2

Answer:

Exploratory Data Analysis  is an approach for analyzing datasets to summarize the main characteristics of the dataset.

Step-by-step explanation:

Explanation:

Exploratory Data Analysis an important  process that performs an initial search of data to discover  patterns, detect anomalies, and use statistics and graphs to test assumptions.

Basically, Exploratory Data Analysis is an approach for analyzing datasets to summarize the main characteristics of the dataset.

Example :With EDA, you can accept the fact that any number of people can buy any number of different types of shoes. They used exploratory data analysis to visualize the data and found that most customers were buying 13 different shoes.

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