We will explore how to use the Sunburst Chart node in KNIME workflows. This particular node is ideal for displaying categorical data, and we will be utilizing Titanic dataset as an example to highlight its capabilities.
You can easily download and run the workflow directly in your KNIME installation. We recommend that you use the latest version of the KNIME Analytics Platform for optimal performance. It can also be deployed as a Data App in KNIME Business Hub.
It is crucial to note that when employing the KNIME Views node to construct a Sunburst Chart, you must ensure that your categorical columns are sorted appropriately (in hierarchical order) before plotting the data. For example, you can look at how to do it by double-clicking on the "Data pre-processing" metanode to observe how it's done.
Our workflow aims to demonstrate how to optimize the configuration of this particular KNIME Views node, utilize flow variables to regulate certain features, and encapsulate the node to create a dynamic visualization with other KNIME nodes.
URL: Titanic - Machine Learning from Disaster - Kaggle https://www.kaggle.com/competitions/titanic/data
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
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