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  6. Generating random missing values in an existing data set

Generating random missing values in an existing data set

Shows, how missing values, can be very randomly added to cells of a column.
Split the table into two parts. Delete in one part the column. Concatenate the two parts.

Generating random missing values in an existing data set

 

Resources

EXAMPLES Server: 01_Data_Access/03_Data_Generation/04_Generating_random_missing_values_in_an_existing_data_set01_Data_Access/03_Data_Generation/04_Generating_random_missing_values_in_an_existing_data_set*
Download a zip-archive

References:

 

 

* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually