Intro to R

Question 1

Data cleaning/preparation tasks

Answer 1

• dealing with missing values
• dealing with incorrect data types on import
• creating multiple datasets for use in model fitting and testing
• transforming variables to allow models to pick up signal more effectively (ie. PCA, reducing the number of categories for variables with a large number of values, creating additional variables/flags to highlight certain relationships in the data)