# Descriptive Statistics

Descriptive Statistics

#### Functions:

 asum Computes the sum of the absolute value of the elements of a data range. asum2 Computes the sum of the squared absolute value of the elements of a data range. excess kurtosis Computes the population kurtosis excess of the elements of a data range. excess kurtosis (sampled) Computes the population kurtosis excess of the elements of a data range. filtered_mean Computes the filtered mean (or average) of the elements of a data range. filtered_sum Computes the filtered sum of the elements of a data range. invalid_count Computes the number of the elements of a data range which are not representing valid numbers. invalid_ratio Computes the percentage of elements of a data range which are not representing valid numbers. kurtosis Computes the population kurtosis of the elements of a data range. kurtosis (sampled) Computes the bias-corrected kurtosis of the elements of a data range. maximum Computes the maximum of the elements of a data range. mean Computes the mean (or average) of the elements of a data range. median Computes the median of the elements of a data range. minimum Computes the minimum of the elements of a data range. skewness Computes the population skewness of the elements of a data range. skewness (sampled) Computes the bias-corrected skewness of the elements of a data range. spread Computes the spread of the elements of a data range. standard deviation Computes the population standard deviation of the elements of a data range. standard deviation (sampled) Computes the bias-corrected standard deviation of the elements of a data range. sum Computes the sum of the elements of a data range. variance Computes the population variance of the elements of a data range. variance (sampled) Computes the bias-corrected variance of the elements of a data range. weighted mean Computes the weighted mean (or average) of the elements of a data range. weighted sum Computes the weighted sum of the elements of a data range.