Definitions and explanations
This is providing additional information or attributes about a data point.
![Definitions and explanations](https://static.packt-cdn.com/products/9781785281945/graphics/graphics/B04671_03_02.jpg)
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:
![Comparisons](https://static.packt-cdn.com/products/9781785281945/graphics/graphics/image_03_003.jpg)
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:
![Contrasts](https://static.packt-cdn.com/products/9781785281945/graphics/graphics/image_03_004.jpg)
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:
![Tendencies](https://static.packt-cdn.com/products/9781785281945/graphics/graphics/B04671_03_04.jpg)
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...