![]() ![]() The EDA process is a crucial step prior to building a model in order to unravel various insights that later become important in developing a robust algorithmic model. ![]() It’s first in the order of operations that a data analyst will perform when handed a new data source and problem statement.Įxploratory Data Analysis is an approach to analyzing data sets by summarizing their main characteristics with visualizations. Data analysis can be applied to almost any aspect of a business if one understands the tools available to process information.Įxploratory Data Analysis - EDA - plays a critical role in understanding the what, why, and how of the problem statement. ![]() For example, an e-commerce company might be interested in analyzing customer attributes in order to display targeted ads for improving sales. The programming language Python, with its English commands and easy-to-follow syntax, offers an amazingly powerful (and free!) open-source alternative to traditional techniques and applications.ĭata analytics allow businesses to understand their efficiency and performance, and ultimately helps the business make more informed decisions. ![]() While much of the world’s data is processed using Excel or (manually!), new data analysis and visualization programs allow for reaching even deeper understanding. Modern businesses and academics alike collect vast amounts of data on myriad processes and phenomena. ![]()
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