Icon

Data Manipulation

Data Manipulation1. Manipulate table to Split "Name" Column into a brandColumn2. count of cars based on number of seats3. Count of cars based on brand name4. Pivot table based on seats in car, car brand and its topspeed car using cleaned dataGrouped cars based on number of seatsSplit Name comlumn into multiple comulnsRemove extra columnsRename to "Brand"saved prep in new file with ManipulationUsing manipulated dataEv Cars count for each brandNode 10 CSV Reader GroupBy Cell Splitter Column Filter Column Rename CSV Writer CSV Reader GroupBy Pivoting Data Manipulation1. Manipulate table to Split "Name" Column into a brandColumn2. count of cars based on number of seats3. Count of cars based on brand name4. Pivot table based on seats in car, car brand and its topspeed car using cleaned dataGrouped cars based on number of seatsSplit Name comlumn into multiple comulnsRemove extra columnsRename to "Brand"saved prep in new file with ManipulationUsing manipulated dataEv Cars count for each brandNode 10 CSV Reader GroupBy Cell Splitter Column Filter Column Rename CSV Writer CSV Reader GroupBy Pivoting

Nodes

Extensions

Links

Download

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

Download Workflow
Created by: Anand
Created at: 2023-04-12
On NodePit since: 2023-04-13
Last update: 2024-04-27
Created with KNIME version: v4.7.1

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

Try NodePit Runner!