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

Part 2 of 2

Empirical data, for one reason or another, can contain missing values. Sometimes one can impute these missing values into actual data points, which may show patterns in the data that are not detectible in smaller sample sizes.

In this workshop attendees will impute missing values in a dataset using the dlookr R package.

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

Attendance in part 1 is not required.

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