Course Content

  • 2_8_1a_EDA

Course Content

FAQs

Exploratory Data Analysis (EDA) is a method of analyzing data that employs visual tools. It is used to identify trends, patterns, or to test assumptions using statistical summaries and graphical representations.

Exploratory Data Analysis (EDA) is the critical process of performing early investigations on data utilizing summary statistics and graphical representations in order to identify patterns, detect anomalies, test hypotheses, and check assumptions.

EDA is classified into four types: univariate non-graphical, multivariate non-graphical, univariate graphical, and multivariate graphical.

Exploratory data analysis (EDA) is the process of analyzing and identifying trends in data sets using statistics and visualisation. EDA's major goal is to establish whether a predictive model is a viable analytical tool for business challenges.

The three basic types of analysis are histograms, stem and leaf plots, and box plots.

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