2. Loop on List of Columns

Workflow: Loop on List of Columns - Column List Loop

This workflow implements an example of a loop on a list of columns using the Column List Loop Start node.

First, we access the data created by the loop in the previous "Counting Loop" workflow. Then, we remove the duplicate "Cluster Membership" columns that each loop iteration created and keep only one to keep the dataset clean of duplicates. Next, we process the rest of the data. Here, we want to process the data of the different iterations (columns denoted by ("Iter #") differently, using different values for the "factor" variable. For that, we use a Column List Loop Start node to process one column in each iteration and define the logic inside the "Define factor" metanode.

Lastly, we plot the processed data in a scatter plot. Adjust the configuration of the Scatter Plot to visualize data of different groups and note the different data ranges for each group.

Reading data

Access data generated by the counting loop in the "Counting Loop" workflow.

Visualizing data

Loop body

Visualizing data

Check data range for each group of data (Iter #)