Data Visualization with KNIME

This video introduces some basic uses of KNIME visualization nodes.

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from IPython.display import HTML
HTML('<iframe width="560" height="315" src="https://www.youtube.com/embed/aGGaIuloo0s?rel=0&amp;controls=0&amp;showinfo=0" frameborder="0" allowfullscreen></iframe>')
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Clustering and Visualization

KNIME Analytics Platform 3.7 brings offers some new JavaScript based nodes. Use the Heatmap node to spot patterns, the Hierarchical Cluster Assigner node to create a dendrogram and explore clusters, and the Tile View* node to visualize complex datasets including images and other graphics. All 3 nodes support custom CSS styling, which can be done with the CSS Editor node. Use nested wrapped metanodes to bring all created views together and the new visual feature of the Layout Editor to arrange them.

[4]:
from IPython.display import HTML
HTML('<iframe width="560" height="315" src="https://www.youtube.com/embed/P1cb0Wo7qx8?rel=0&amp;controls=0&amp;showinfo=0" frameborder="0" allowfullscreen></iframe>')
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