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Exploratory Data Analysis in Python Module


Dr. Mark Keith, PhD
Brigham Young University


Edition 1
(rev. 27)

This module will introduce students to the first step in the data mining process after data is acquired—exploratory data analysis. This includes univariate statistics (e.g., mean, median, mode, quartiles, skewness, kurtosis) and visualizations (histograms and box plots) as well as bivariate statistics (correlation, t-tests, one-way ANOVAs, chi-squared) and visualizations (scatterplots, barplots, heatmaps, and crosstabs). This module is ideal to prepare students for data cleaning and predictive modeling.

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