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.

Available

Product reviews

Rating 4.5 out of 5. 8,008 reviews.

Characteristics assessment

Cost-benefit

Rating 4.5 out of 10 5

Comfortable

Rating 4.3 out of 5

It's light

Rating 4.3 out of 5

Quality of materials

Rating 4.1 of 5

Easy to assemble

Assessment 4 of 5