Exploratory Data Analysis in R - Imputing Like a Data Scientist I

 Part 1 of 2

Empirical data is rarely tidy and often contains extreme values (outliers). There are several types of transformations that can deal with these extreme values.

In this workshop attendees will learn how to transform outliers in a dataset using the dlookr. R package, with particular attention given towards imputation.

   Objectives
    1. Load and explore a data set with publication quality tables
    2. Thoroughly diagnose outliers
    3. Impute outliers

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