Before doing any kind of hypothesis testing or model building, you should always examine your data for unusual features or patterns.
In Part 1, we discuss how to explore quantitative data using the Descriptives, Compare Means, Explore, and Frequencies procedures. Each of these procedures offers different strengths for analyzing and comparing continuous variables.
In Part 2, we describe how to obtain descriptive statistics for categorical variables using the Frequencies and Crosstabs procedures.
Our tutorials reference a dataset called "sample" in many examples. If you'd like to download the sample dataset to work through the examples, choose one of the files below: