Exploratory Data Analysis (EDA) is an essential initial stage in the field of data science, wherein data is thoroughly examined and visually represented to acquire valuable insights, find recurring patterns, and detect any irregularities or outliers. Exploratory Data research plays a crucial role in enabling data scientists to make educated judgments and develop hypotheses for subsequent research by succinctly describing essential properties and relationships present within a given dataset.
But, before delving deeper into EDA, let’s first understand what is data and how is it different from information or knowledge.