Icon

01. Data Aggregation

There has been no title set for this workflow's metadata.

There has been no description set for this workflow's metadata.

Activity: Data Aggregation Activity I- Read the table Customer.table.- Resolve the duplicates with a GroupBy node.- Use the GroupBy node to count the number of samples foreach product.- Use the Pivoting node to calculate the average age forfemales and males for each product (one column for eachproduct). Activity IIFrom the table without duplicates:- Extract rows where Products = Private Investment.- On the remaining rows, extract rows where age is between 30and 40. Customer.tableResolveduplicatescount the number ofsamples for each product.calculate the average age forfemales and males for each productProducts =Private InvestmentsAge between30 and 40 Table Reader GroupBy GroupBy Pivot Row Filter Row Filter Activity: Data Aggregation Activity I- Read the table Customer.table.- Resolve the duplicates with a GroupBy node.- Use the GroupBy node to count the number of samples foreach product.- Use the Pivoting node to calculate the average age forfemales and males for each product (one column for eachproduct). Activity IIFrom the table without duplicates:- Extract rows where Products = Private Investment.- On the remaining rows, extract rows where age is between 30and 40. Customer.tableResolveduplicatescount the number ofsamples for each product.calculate the average age forfemales and males for each productProducts =Private InvestmentsAge between30 and 40 Table Reader GroupBy GroupBy Pivot Row Filter Row Filter

Nodes

Extensions

Links

Download

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

Download Workflow
On NodePit since: 2023-09-30
Last update: 2024-11-21
Created with KNIME version: v5.1.1

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!