This page describes the statistical information available for individual columns of data.
Below, you can review general statistics maintained for each data type, followed by breakdowns of statistics for each specific type of data.
For any selection of values in a column, the following counts are generally available.
Count Name  Description 

Valid Values  Count of values that are valid for the column's data type 
Unique Values  Count of unique values. Duplicate values are not counted. 
Outlier Values  Count of values that qualify as outliers. An outlier value is either:

Mismatched Values  Count of values that do not confirm to the column's data type. For example, an Integer column with a value of "MISSING" results in a mismatched value. 
Missing Values  Count of values that are not populated 
These statistics are available for most types of data through the Column Browser.
Statistic Name  Description 

Minimum  Lowest value in the column 
Lower Quartile  The median of the lower half of values (25th percentile) 
Median  The middle value of the selected set. For example, in a set of 21 values, the median value is the 11th value in ascending order.

Upper Quartile  The median of the upper half of values (75th percentile) 
Maximum  Highest value in the column 
Average  Average value in the column 
Standard Deviation  The computed standard deviation for the selected values. 
The following functions can be applied to a set of columnar data taken from one or more columns in your dataset. Unless otherwise noted, these functions apply to numeric data. For more information, see Aggregate Functions.