** Exploratory Data Analysis (EDA) is a crucial step in data analysis. It involves understanding patterns, identifying relationships between variables, and locating outliers. EDA includes univariate, bivariate, and multivariate analysis techniques, such as histograms, box plots, and scatter plots. Statistical tests like t-tests and ANOVA help validate hypotheses and identify significant differences. By embracing best practices in EDA, data professionals can make their data more accurate and reliable.

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Source: https://dev.to/mugultum/understanding-your-data-the-essentials-of-exploratory-data-analysis-dj5