Understanding the Primary Goal of Exploratory Data Analysis
Exploratory data analysis (EDA) is a crucial step in the data science process. Scientists and data analysts use it to evaluate and condense datasets in order to find trends, identify anomalies, and test theories. Gaining an understanding of EDA's main objective can greatly improve your data analysis abilities and produce more precise and perceptive results. Join one of the online financial modelling courses for a better understanding at EDA. We shall explore the core principles and goals of EDA in this blog. What is Exploratory Data Analysis? The initial examination of data to identify its underlying structure, extract significant variables, and find outliers and anomalies is known as exploratory data analysis. To comprehend the dataset more fully, statistical graphics and other techniques for data visualization are used. EDA is about learning what the data can tell us, not about verifying theories. The Primary Goal of Exploratory Data Analysis The primary goal of EDA is ensuring t...