In this chapter, we will cover:
- Working with data
- Reading data from CSV files
- Reading XML data
- Reading JSON data
- Reading data from fixed-width formatted files
- Reading data from R files and R libraries
- Removing cases with missing values
- Replacing missing values with the mean
- Removing duplicate cases
- Rescaling a variable to specified min-max range
- Normalizing or standardizing data in a data frame
- Binning numerical data
- Creating dummies for categorical variables
- Handling missing data
- Correcting data
- Imputing data
- Detecting outliers
