Acquire and Prepare the Ingredients - Your Data

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