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Missing Data Generator

Reads in 'wines' data from r-package 'kohonen' and adds missing data with a MissingDataGenerator Component which can be configured to add missing data at random by percentage. The generated dataset is exported and a visualisation of the original dataset and the manipulated data is shown using the r-package 'nania'


WinesNode 166Original dataMissing DataR Source (Table) CSV Writer Image to Report Image to Report MissingDataGenerator WinesNode 166Original dataMissing DataR Source (Table) CSV Writer Image to Report Image to Report MissingDataGenerator

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

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Created by: markearll
Created at: 2020-11-20
On NodePit since: 2020-11-23
Last update: 2024-05-01
Created with KNIME version: v4.2.3
Tags: Missing DataChemometrics

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