Data Preparation - Handling Missing Values

based on: http://r-statistics.co/Missing-Value-Treatment-With-R.html

Methods in Handling Missing Values

• deleting the observations
• deleting the variable
• imputation/replace with:
  • constants:
    • mean
    • median
    • mode
  • prediction:
    • k-Nearest Neighbors (k-NN) Regression
    • rpart
    • Multivariate Imputation by Chained Equations (MICE)