Table Row To Variable Loop Start

This node uses each row of a data table to define new variable values for each loop iteration. The names of the variables are defined by the column names.

Options

Missing value handling

Allows to specify how to cope with missing values. Note that an empty table is treated as if it would contain only missing values.

• Fail: Ensures that the node will fail during execution if the input table is empty or contains missing values in the columns to convert
• Use defaults if available: Replaces any missing value by the (configured) defaults. In case no default value is associated with the missing cell's type the execution will fail.
• Omit: Missing cells will not be converted and therefore be omitted from the output.

Defaults

Allows to specify the defaults for String, Boolean, Integer, Long and Double cells.

Column selection

Allows the selection of the those columns whose cells must be converted to flow variables.

Views

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Workflows

• 00_Download_DatasetKNIME Hub
• 01_Linear_Regression_solutionKNIME Hub
• 08. Workflow Control - solutionKNIME Hub
• 11_Workflow_Control_SolutionKNIME Hub
• 11_Workflow_Control_SolutionKNIME Hub
• Show all 43 workflows

Links

• KNIME Analytics Platform for Data Scientists (Advanced): Lesson 2. Flow Variables & Components

  www.knime.com/self-paced-course/l2-ds-knime-analytics-platform-for-data-scientists-advanced/lesson2

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