## Definitions and explanations

This is providing additional information or attributes about a data point.

### Comparisons

This is adding a comparable value to a particular data point. For example, you might compute and add a national ranking to each total by state:

### Contrasts

This is almost like adding an opposite to a data point to see if it perhaps determines a different perspective. An example might be reviewing average body weights for patients who consume alcoholic beverages versus those who do not consume alcoholic beverages:

### Tendencies

These are the typical mathematical calculations (or summaries) on the data as a whole or by other categories within the data, such as mean, median, and mode. For example, you might add a **Median Heart Rate for Age Group** that each patient in the data is a member of:

### Dispersion

Again, these are mathematical calculations (or summaries), such as range, variance, and standard deviation, but they describe the average of a dataset (or group within the data). For example...