Standard Deviation

Creates new columns using the specified input columns

Type

transform

Class

fire.nodes.etl.NodeStandardDeviation

Fields

Name	Title	Description
inputCols	Input Columns	columns for computing standard deviation

Details

Standard Deviation Node

This node calculates the standard deviation for the specified numeric columns in a dataset. The standard deviation is a measure of how spread out the values are from the mean.

Examples

Standard Deviation Node Example

Given the following dataset:

id column1 column2 column3 column4 column5 column6 column7 column8

1 10.2 5 12 20 “A” “B” “C” “D”

2 11.3 6 15 30 “A” “B” “C” “D”

3 12.4 7 18 40 “A” “B” “C” “D”

If you configure the Standard Deviation node to calculate the standard deviation for column1, column2, column3, and column4, the output would look like this:

Column Name Standard Deviation

column1 1.005

column2 1.000

column3 1.500

column4 10.000