VAL Functions
This directory contains 35 workflows.
Min Max Scalar VAL
MinMaxScalar allows rescaling that limits the upper and lower boundaries of the data in a continuous numeric column using a linear rescaling function based […]
One Hot Encoder VAL
One hot encoding is useful when a categorical data element must be re-expressed as one or more numeric data elements, creating a binary numeric field for […]
Overlap VAL
Performs Overlap analysis by combining information from multiple DataFrames into an analytic data set by providing counts of overlapping key fields among […]
Parametric Test VAL
Parametric tests make assumptions about the data, such as the observations being normally distributed. This can be verified with a test of normality prior […]
Principal Component Analysis Predict VAL
The Predict function generates PCA scores using the model created by PCA VALIB function. The scoring process expresses each component as a linear […]
Principal Component Analysis VAL
In PCA Analysis, a set of variables (denoted by columns) is reduced to a smaller number of factors that account for most of the variance in the variables. […]
Rank Test VAL
Statistical tests of this type calculate statistics based on the rank of variables rather than variable values. In general, data that are ranked and ordinal […]
Retain VAL
Retain option allows you to copy one or more columns into the final analytic data set. When the delay query is off, the input table be transformed […]
Sigmoid VAL
Sigmoid transformation allows rescaling of continuous numeric data in a more sophisticated way than the Rescaling transformation function. In a Sigmoid […]
Statistics VAL
Statistics analysis provides several common and not so common statistical measures for numeric data columns. Use statistical measures to understand the […]