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Session 2.3 How to Handle Missing Values

This workflow shows different strategies to handle missing values using the Missing Value node.

customer: remove

age: mean

string: unknown

Handle by type
Handle by column
Apply missing value strategy
Merge columns
Remove columns

This workflow shows different strategies to handle missing values using the Missing Value node.

Data Cleaning with KNIME:

How to Handle Missing Values

customer: removeage: mean
Missing Value
string:unknown
Missing Value
customers1
Table Reader
Missing Value (Apply)
customers2
Table Reader
Missing Value Column Filter
Column Merger

Nodes

Extensions

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Links

Download

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

Download Workflow
Created by: Emilio.Silvestri
Created at: 2023-10-06
On NodePit since: 2026-07-24
Last update: 2026-07-24
Created with KNIME version: v5.11.1
Tags: missing valuesdata cleaningpreprocessingETLeducation

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