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1. Describe the purpose of exploratory data analysis.
2. Use appropriate tools to calculate suitable summary statistics and undertake exploratory data visualizations.
3. Define and calculate Pearson’s, Spearman’s and Kendall’s measures of correlation for bivariate data, explain their interpretation and perform statistical inference as appropriate.
4. Use Principal Components Analysis to reduce the dimensionality of a complex data set.
## Theory {-#theory-exploratory-data-analysis}
## `R` Practice {-#practice-exploratory-data-analysis}