02_Aggregations
This directory contains 9 workflows.
01_Working_with_Collection_Creation_and_Conversion
The goal of the workflow is to demonstrate the creation and working with collection cells. It is divided into three parts. The "Collection creation and […]
02_Working_with_Collection_Supported_Nodes
The goal of the workflow is to demonstrate the creation and working with collection cells. It is divided into three parts. The last section "Working with […]
03_Working_with_Collection_Supported_Types
The goal of the workflow is to demonstrate the creation and working with collection cells. It is divided into three parts. The "Collection types" section […]
04_Generating_a_Ranking_value
This workflow shows how the rank node in combination with a Row Filter node can be used to determine the rows whose ranking column attribute is in the top 5 […]
05_Calculating_Rank_Correlations
This workflow shows how to use the rank correlation node to calculate Spearman's rho for the attributes of the Iris dataset.
06_Basic_Examples_for_Using_the_GroupBy_Node
This workflow shows the many aggregation options that the GroupBy node offers. We start from customer data, group on Gender or more features, and run a few […]
07_Advanced_Usage_of_the_GroupBy_node
This workflow shows the many aggregation options that the GroupBy node offers. We start from customer data, group on Gender or more features, and run a few […]
08_More_GroupBy_Examples
Using the adult.csv data set: on each one of the 4 groups defined by sex and income values, calculate the total number of rows and average age and write the […]
09_Examples_for_Using_the_Pivoting_Node
Create a pivot table with one or more group columns and one or more pivot columns. Apply basic aggregation methods like sum and count, statistical […]