Summary statistics are aggregated snapshots of large data sets, making them easier to understand at a glance. Measures like mean, median, and standard deviation convey key information about the data. These statistics help in quickly identifying trends and patterns.
Categorical variables can be either ordinal (ordered) or nominal (unordered).
Examples of ordinal variables include places (1st, 2nd, 3rd) and survey responses (On a scale of 1 to 5, how much do you agree with a statement?).
Examples of nominal variables include tree species, student names, and account names.