The Correlation function calculates the correlation between two input data series.
The Normal Distribution function calculates the standard normal cumulative distribution for an input data series.
The Percentile function returns a scalar value below which the specified percentage of input data values fall.
The Percent Rank function calculates the percent rank for each value in a set of input values.
The Sample Standard Deviation function measures volatility as the difference between values and their moving average. A larger difference implies a larger standard deviation value.
The Population Standard Deviation function measures volatility as the difference between values and their average. A larger difference implies a larger standard deviation value.
The Variance function calculates the volatility of a set of input data values, such as stock prices over a period of time.
The Histogram function assigns numeric values to bins and returns the counts.
The Correlation Matrix function calculates the strength of the relationships between possible pairings of the specified data series.
The Forecasting and Exponential Smoothing functions use exponential smoothing models to predict future values based on an analysis of historical time series data.