Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. 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. Edit, save, simulate, synthesize SystemVerilog, Verilog, VHDL and other HDLs from your web browser. In this article, discover what Exploratory Data Analysis EDA in data science is, its types, and best practices to enhance your data exploration process.
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