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04_​Interactive_​Scatter_​Plot_​Visualisation_​with_​Python_​View_​node_​using_​Plotly_​package

Interactive Scatter Plot Visualisation with Python View node using Plotly package

This workflow is built to showcase the usage of Python View node that can be used to generate interactive view. The workflow trains a lasso regression to predict the housing prices. Further we use the Python View node to visualise the effect of features on price of the house using intercative scatter plot

Configure the Python View node for using Plotly packagefor Intercative VisualisationThe Python View node can be provide with input table or object and it cangenerate view or an output image based on the user's selection of portsStep 1: Drag the Python View node to KNIME Analytics PlatformStep 2: Write your script in the "Script" tab and press "execute script" tounderstand if the execution was successful. partition intrain and validationdatasets Fit a sklearnLasso modelwith the selectedregularizationstrengthPredict onvalidationdataCaliforniaHosuing DatasetHouse AgeCategoryPartitioning Python Script Python Script Table Reader Row Sampling Python View Rule Engine Configure the Python View node for using Plotly packagefor Intercative VisualisationThe Python View node can be provide with input table or object and it cangenerate view or an output image based on the user's selection of portsStep 1: Drag the Python View node to KNIME Analytics PlatformStep 2: Write your script in the "Script" tab and press "execute script" tounderstand if the execution was successful. partition intrain and validationdatasets Fit a sklearnLasso modelwith the selectedregularizationstrengthPredict onvalidationdataCaliforniaHosuing DatasetHouse AgeCategoryPartitioning Python Script Python Script Table Reader Row Sampling Python View Rule Engine

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