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Common Issues and Appropriate Strategies
Distribution of Observations
Skewness or Outliers
Scale Differences among Model Variables
Too Many Levels of a Categorical Variable
High Dimensionality: Abundance of Columns
Correlated or Redundant Variables
Missing or Sparse Observations across Columns
A PCA Example
Abundance of Rows
Partitioning into Training, Validation, and Test Sets
Aggregating Rows with Summary Tables
Oversampling Rare Events
Date and Time-Related Issues
Formatting Dates and Times
Some Date Functions: Extracting Parts
Row Functions Especially Useful in Time-Ordered Data
Elapsed Time and Date Arithmetic
Once we have all ...
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