Exploratory Data Analysis (EDA) is an important step in data science and data analytics as it visualizes data to understand its main features, find patterns and discover how different parts of the data are connected. Exploratory Data Analysis using python to explore the data and extract all possible insights helping in model building and decision making. Exploratory Data Analysis (EDA) is a process of describing the data by means of statistical and visualization techniques in order to bring important aspects of that data into focus for further analysis. This involves inspecting the dataset from many angles, describing & summarizing it without making any assumptions about its contents. In this article, discover what Exploratory Data Analysis EDA in data science is, its types, and best practices to enhance your data exploration process.
