Row to Column Names

Uses the values of a specified row of the input table as new column names. The node has two outports: The first port contains a new table with a column header corresponding to the specified row of the input table. If type guessing is activated, the cells of each column are converted to the most specific type that all values of the column can be converted into.

Options

Number of rows before the header

Number of rows in the input table that precede the row that should be used as new column header

Discard rows before header row

Whether rows before the row containing the new column header should be discarded. Otherwise they are treated as additional output rows.

Detect types of resulting columns

Whether type analysis should be applied to the output table. For each column, the most specific of the four column types double (64-bit floating-point number), long (64-bit integral number), int (32-bit integral number) and String is determined and the column is converted to this type.

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Workflows

• 0. Lubes_Sales_Pred-ModelNodePit Space
• 0. Lubes_Sales_Pred-ModelNodePit Space
• 1 - What are Metanodes and ComponentsKNIME Hub
• 1 - What are Metanodes and ComponentsKNIME Hub
• 1 Column Hierarchy BreakoutKNIME Hub
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