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Expand Up @@ -20,6 +20,7 @@ When you send an API request to the [List Summaries](xref:sds-stream-data#list-s
| **Skewness** | A measure that quantifies the asymmetry of the probability distribution or dataset. It indicates the extent to which the data is skewed (lopsided) to one side of the distribution relative to the other. A distribution or dataset can be skewed to the left (negatively skewed), skewed to the right (positively skewed), or approximately symmetric. |
| **StandardDeviation** | A measure of the dispersion or spread of data points within a dataset. It quantifies how much individual data points deviate from the mean (average) of the dataset. |
| **Total** | A sum of averages between consecutive data points. For an interval where start and end boundaries are interpolated, the interpolated values will be included as part of the calculation. |
| **WeightedTotal** | The time-weighted sum (the total of each value multiplied by the duration it represents) for each numeric property in the interval, calculated as the `WeightedMean` multiplied by the interval duration in seconds. Follows the same boundary and interpolation rules as `WeightedMean`. Values are assumed to be expressed on a per-second basis; if a stream uses a different time base, convert the values before requesting this summary. |
| **WeightedMean** | A type of average that takes into account not only the values of a dataset but also the index weights associated with each value. It is used when different data points have varying degrees of importance or significance. |
| **WeightedPopulationStandardDeviation** | 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. |
| **WeightedStandardDeviation** | A measure of the dispersion or spread of data points within a dataset 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 as more significant to a sample as compared to the other values in a sample. |