What is exploratory data analysis?

Exploratory Data Analysis (EDA) is a process of analyzing and summarizing data sets to gain essential insights and formulate initial hypotheses. It involves using various statistical and visualization techniques to understand the underlying patterns, trends, and relationships within the data. EDA helps in identifying outliers, missing values, and potential errors in the data while providing a framework for data preprocessing and feature engineering. By exploring the data, researchers can generate new ideas and hypotheses, which can then be tested or further investigated using more sophisticated modeling techniques. Overall, EDA plays a crucial role in understanding the data before diving into advanced analytics or building predictive models.

This mind map was published on 5 October 2023 and has been viewed 50 times.