BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods.

Detailed explanation-2: -Exploratory Data Analysis is an approach in analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods.

Detailed explanation-3: -Exploratory Data Analysis (EDA) is an approach to analyze the data using visual techniques. It is used to discover trends, patterns, or to check assumptions with the help of statistical summary and graphical representations.

Detailed explanation-4: -Data visualization is an important component of Exploratory Data Analysis (EDA) because it allows a data analyst to “look at” their data and get to know the variables and relationships between them.

Detailed explanation-5: -The two primary methods for data analysis are qualitative data analysis techniques and quantitative data analysis techniques. These data analysis techniques can be used independently or in combination with the other to help business leaders and decision-makers acquire business insights from different data types.