KNIME Base Nodes version 4.3.1.v202101261649 by KNIME AG, Zurich, Switzerland
In a scatter matrix each matrix element Eij is a scatterplot of the columns i and j, where the values of the i-th column are displayed at the x axis and the values of the j-th column at the y axis while the coordinates are displayed alternating on all sides of the plot.
Only columns with a valid domain are available in this view. Make sure that the predecessor node is executed or set the domain with the DomainCalculator node!
The data points may be selected by either dragging a rectangle with the mouse over the points or clicking directly on them. Hold control pressed for multiple selections. The selected datapoints may be hilited by either right-click to get the context menu or via the hilite menu in the menu bar. The data points are displayed as selected or hilited in all matrix elements.
Move the mouse over the data points to get information about the row ID and the value.
Default Settings:
Column Selection: Choose the columns you want to have displayed in the scatter matrix. Initially only the first three are selected.
Appearance:
To use this node in KNIME, install KNIME Base nodes from the following update site:
A zipped version of the software site can be downloaded here.
You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.