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Linear correlation (matrices and scatter plots)

Bivariate AnalysisScatter plotLinear correlation
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Draft Latest edits on 
Jun 16, 2024 5:42 PM
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The component calculates the correlation between two or multiple variables (continuous or categorical features) and displays the correlation measures and matrices accordingly. For the continuous variables a scatter plot can be displayed for selected variables. A correlation filter with threshold 0.7 removes correlated columns, joins the remaining columns with the nominal columns of the data set and provides the result at the output. The threshold can be changed in Correlation Filter node.

Component details

Input ports
  1. Type: Flow Variable
    Port 1
    Flow variables named Default_Var_nominal and Default_Var_cont. They can be created by the component: Split features & create default flow variables.
  2. Type: Table
    Port 2
    Data table with categorical nominal value columns.
  3. Type: Table
    Port 3
    Data table with continuous value columns.
Output ports
  1. Type: Table
    Port 1
    Data table without the correlated columns.

External resources

  • Scatter-plot icons created by Freepik - Flaticon

Used extensions & nodes

Created with KNIME Analytics Platform version 5.2.5
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.4

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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.4

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    KNIME ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.2.4

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This component does not have nodes, extensions, nested components and related workflows

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