Understand statistic options
- Last UpdatedOct 02, 2026
- 3 minute read
If a content item or graphic includes the Statistic property, you can select which metric is used to display the data.
The following table lists the statistic options available.
|
Statistic option (Content items) |
Statistic option (Graphics) |
Description |
Formula |
|---|---|---|---|
|
— |
Current |
Returns the most recent value available, regardless of the interval. |
— |
|
Weighted Mean |
Average |
A type of average that takes into account not only the values within an interval but also the index weights associated with each value. It is used when different data points have varying degrees of importance or significance. |
|
|
Mean |
— |
The average of the set of numerical values within an interval. |
|
|
Minimum |
Minimum |
The smallest or lowest value observed within an interval. |
|
|
Maximum |
Maximum |
The largest or highest value observed within an interval. |
|
|
Total |
— |
The sum of all stored data points within an interval. |
|
|
Count |
Count |
The numerical tally of stored values within an interval. |
|
|
Range |
— |
The difference between the maximum and minimum values within an interval. |
|
|
Standard Deviation |
StdDev |
A measure of the dispersion or spread of data points within a sample dataset. It quantifies how much individual data points deviate from the mean (average) within an interval. |
|
|
Population Standard Deviation |
— |
A measure of the dispersion or spread of data points within a population. It quantifies how much individual data points deviate from the mean (average) of the entire population. |
|
|
Weighted Standard Deviation |
— |
A measure of the dispersion or spread of data points within a sample with an index weight applied that indicates relative significance to each value in a set of values. Values with a higher value for their index weight are considered more significant to a sample as compared to the other values in a sample. |
|
|
Weighted Population Standard Deviation |
— |
A measure of the dispersion or spread of data points within a population, where each data point is assigned an index weight based on its importance or significance. This concept extends the traditional population standard deviation by incorporating index weights that reflect the relative importance of individual data points. |
|
|
— |
First |
The first value that occurs within the interval. |
— |
|
— |
Last |
The last value that occurs within the interval. |
— |
