The following node is available in the Open Source KNIME predictive analytics and data mining platform version 2.7.1. Discover over 1000 other nodes, as well as enterprise functionality at
http://knime.com.
Ungroup
Creates for each list of collection values a list of rows
with the values of the collection in one column and all other
columns given from the original row.
Rows with an empty collection are skipped, as well as rows that
contain only missing values in the collection cell with the
'Skip missing values' option enabled.
Dialog Options
- Collection column
-
The collection column to ungroup.
- Remove selected collection column
-
The selected collection column will be removed from the result
table, if this option is ticked.
- Skip missing values
-
If enabled, rows with a missing value in the collection column are
skipped, as well as missing values in a collection cell.
- Enable hiliting
-
If enabled, the hiliting of a input row results in hilting
all rows (given in the collection cell) of the ungrouped output
table vs. if all output rows (represented in or more collection
cell) the input row(s) are hilit as well. Depending on
the number of rows, enabling this feature might consume a lot
of memory.
Ports
Input Ports
0 |
The input table to ungroup |
This node is contained in KNIME Base Nodes
provided by KNIME GmbH, Konstanz, Germany.