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1. Counting Loop 1

Counting Loop 1

This workflow implements a loop cycle and precisely a counting loop with 4 iterations.

Some fake data are generated with 3 clusters over 2 coordinates (x,y) in [0,1]x[0,1].
During each loop iteration the input data table is processed in the loop body and a new data table is produced.
The new data table is then concatenated to the previous results in the Loop End node.

In this particular example, the loop body adds the current iteration number to the x axis at each iteration.
For each iteration, the result is a replica of the original data set but translated along the x axis according to the current iteration number.

Workflow: Counting Loop 1 This workflow implements a loop cycle and precisely a counting loop with 4 iterations.Some fake data are generated with 3 clusters over 2 coordinates (x,y) in [0,1]x[0,1].During each loop iteration the input data table is processed in the loop body and a new data table is produced.The new data table is then concatenated to the previous results in the Loop End node.In this particular example, the loop body adds the current iteration number to the x axis at each iteration.For each iteration, the result is a replica of the original data set but translated along the x axis according to the currentiteration number. 3 clusters2 coordinatescolor by clustersscatter plot of original datascatter plotof 4 x-shifteddata setsx = x + iteration nry=y4 iterations0,1,2,3collect new data setconcatenate with previous ones Data Generator Color Manager Scatter Plot Scatter Plot Math Formula Counting Loop Start Loop End Workflow: Counting Loop 1 This workflow implements a loop cycle and precisely a counting loop with 4 iterations.Some fake data are generated with 3 clusters over 2 coordinates (x,y) in [0,1]x[0,1].During each loop iteration the input data table is processed in the loop body and a new data table is produced.The new data table is then concatenated to the previous results in the Loop End node.In this particular example, the loop body adds the current iteration number to the x axis at each iteration.For each iteration, the result is a replica of the original data set but translated along the x axis according to the currentiteration number. 3 clusters2 coordinatescolor by clustersscatter plot of original datascatter plotof 4 x-shifteddata setsx = x + iteration nry=y4 iterations0,1,2,3collect new data setconcatenate with previous onesData Generator Color Manager Scatter Plot Scatter Plot Math Formula Counting Loop Start Loop End

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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On NodePit since: 2023-01-23
Last update: 2024-04-27
Created with KNIME version: v4.5.0
Tags: BooksKNIME Advanced Luckcounting looploopflow control

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