How to Switch Workflow Branch Execution Based on Input Data

<p><strong>How to Switch Workflow Branch Execution Based on Input Data</strong></p><p>This workflow demonstrates switching between various workflow branches in KNIME which are activated depending on the input data table.</p><p>In this example, the input Adult dataset has more than 32,000 rows. This dataset is quite large. To build a meaningful yet efficient visualization, sampling 1000 rows is usually enough. Additionally, we want to account automatically for future, updated versions of this dataset that may have a larger or smaller number of rows. With the Case Switch Start and End nodes, controlling which preprocessing is necessary, the workflow can create a Bar Chart visualization efficiently, without losing critical information.</p>