Exploratory Data Analysis#
Exploratory data analysis (EDA) is a process of using statistical and graphical methods to discover patterns and relationships in data, and to generate hypotheses and insights. EDA is an iterative and interactive process, and typically involves a range of activities, such as visualizing data, summarizing data, and testing hypotheses. EDA is often the first step in the data analysis process, and is used to gain a better understanding of the data and the underlying patterns and relationships. EDA is an important part of data science, and can help data scientists to identify trends, outliers, and other important features of the data. EDA is typically performed using tools such as R or Python, and is an essential skill for data analysts and other professionals who work with data.