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. In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. EDA stands for Exploratory Data Analysis. EDA in data science is a crucial first step that uses statistical and visual techniques to uncover patterns, spot anomalies, and understand a dataset’s key features. Exploratory Data Analysis using python to explore the data and extract all possible insights helping in model building and decision making.

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