Count

Total number of non-discrete values in the field.

Kurtosis

A measure of the distribution of values, or peakedness. The value varies between -0.5 and 0.5. The Kurtosis coefficient indicates how sharp a distribution is, relative to a standard normal distribution.

Maximum

Largest value in the field.

Mean

Arithmetic average of all non-discrete values in the field.

Median

Value for which there are an equal number of larger values and smaller values in the field.

Minimum

Lowest value in the field.

Mode

The most frequently occurring value in the field.

Skewness

A measure of symmetry that varies between -0.5 and 0.5. If skewness is negative, the distribution is skewed to the left. If skewness is positive, the distribution is skewed to the right.

Standard deviation

A measure of how much variation or dispersion there is from the mean. A low standard deviation indicates that the data points tend to be very close to the mean. A high standard deviation indicates that the data points are spread over a large range of values.

Sum

The sum of all the values in the field.

Sum of squares

The sum of all the squared values.