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    << Click to Display Table of Contents >> Aggregate Function | 
    
    
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Function  | 
Description  | 
Example  | 
|---|---|---|
Sum  | 
Return the sum of all data in the dataset  | 
Sum(col['sales'])  | 
Avg  | 
Return the average value in the dataset  | 
Avg(col['sales'])  | 
Count  | 
The number of data in the returned data set  | 
Count(col['product'])  | 
DistinctCount  | 
Returns the number of different values in the data set  | 
DistinctCount(col['product'])  | 
Max  | 
Return the maximum value in the data set  | 
Max(col['product'])  | 
Min  | 
Return the minimum value in the dataset  | 
Min(col['product'])  | 
Range  | 
Return the scope of the data set  | 
Range(col['sales'])  | 
Product  | 
Returns the product of a set of data  | 
Product(col['sales'])  | 
Median  | 
Returns the median of a given set of values  | 
Median(col['sales'])  | 
Mode  | 
Returns the mode in an array or data area  | 
Mode(col['sales'])  | 
SumSQ  | 
Returns the sum of squares of a set of data  | 
SumSQ(col['sales'])  | 
Quartile  | 
Returns the quartile of a set of data  | 
Quartile(col['sales'], 4) //quart is 0,1,2,3,4  | 
PthPercentile  | 
Returns the percentage of P value in the numeric area  | 
PthPercentile(col['sales'], 10) //p is 0-100%  | 
Variance  | 
Returns the variance of a set of data  | 
Variance(col['sales'])  | 
PopulationVariance  | 
Returns the overall variance of a set of data  | 
PopulationVariance(col['sales'])  | 
StandardDeviation  | 
Returns the standard deviation of a set of data  | 
StandardDeviation(col['sales'])  | 
StandardError  | 
Returns the standard error of a set of data  | 
StandardError(col['sales'])  | 
PopulationStandardDeviation  | 
Returns the population standard deviation of a set of data  | 
PopulationStandardDeviation (col['sales'])  | 
SumWT  | 
Returns the sum of the weights of a set of data  | 
SumWT(col['sales'], col['profit'])  | 
WeightAvg  | 
Returns the mean of the weights of a set of data  | 
WeightAvg(col['sales'], col['profit'])  | 
Covariance  | 
Returns the covariance of a set of data  | 
Covariance(col['sales'], col['profit'])  | 
Correlation  | 
Returns the correlation coefficient of a set of data  | 
Correlation(col['sales'], col['profit'])  |