NodeHeatmap

Visualizer

This node displays the given input table as an interactive heatmap.

The node supports custom CSS styling. You can simply put CSS rules into a single string and set it as a flow variable 'customCSS' in the node configuration dialog. You will find the list of available classes and their description on our documentation page .

Input ports
  1. Input table Type: Data
    Input data table to display as a heatmap.
Output ports
  1. Image port Type: Image
    An SVG image representation of the view.
  2. Output table Type: Data
    The input data table, with an appended selection column if selection is enabled.
  1. 05_WebPortal_Data_Mining
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  2. heatmap_test
    jtyler > Public > heatmap_test
  3. Guided Visualization
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    Guided visualization provides a business analyst with the most appropriate visualizations according to how many columns …
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  4. Generate ChEMBL Predictions
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  5. Clickstream Analysis
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    knime > Examples > 50_Applications > 52_Clickstream_Analysis > 01_Clickstream_Analysis
  6. Kolmogorov-Smirnov Matrix
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    Executes the Kolmogorov-Smirnov test on all pairs of columns in the HSB2 dataset. It creates a matrix view from the comp…
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  7. Guided Visualization and Exploration
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    Guided exploration provides a data scientist with insights into data at hand. Any dataset can be used. The data are auto…
    knime > Examples > 50_Applications > 54_Guided_Visualization_and_Exploration > 01_Guided_Visualization_and_Exploration > 03_Guided_Visualization_and_Exploration
  8. Create Heatmaps in KNIME and use R to add Dendrograms
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    It is possible to create heatmaps with dendrograms with the help to R. You would have to check the code if the distance …
    mlauber71 > Public > kn_example_r_heatmap_cars
  9. Exporting Data - Solution
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    Solution to the exercise 6 for KNIME User Training - Writing data to a file - Writing a model to a PMML model file - Cre…
    knime > Education > 01 KNIME User Training > solutions > 06. Exporting Data - solution
  10. Seasonality Removal
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    knime > Examples > 10_Big_Data > 02_Spark_Executor > 11_Taxi_Demand_Prediction > Seasonality_Removal