Eda: Introduction Exploratory Data Analysis (EDA) is the

Introduction Exploratory Data Analysis (EDA) is the process of summarization of a dataset by analyzing it. It is used to investigate a dataset and lay down its characteristics. EDA is a fundamental process in many Data Science or Analysis tasks. Diff Edit, save, simulate, synthesize SystemVerilog, Verilog, VHDL and other HDLs from your web browser. 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 (EDA) is not just a preliminary step in the field of data science. It is the concept that reveals the structure within raw information and how the path toward meaningful features and strong models becomes clear.