JKISeason 4-25 - Zurich Clustermap

<p><strong>Challenge 25: Zurich Clustermap</strong></p><p><strong>Level: </strong>Medium<br><strong><br>Description: </strong>You have been called upon by Zurich’s city council to interpret a growing dataset of citizen-submitted service reports. To ensure equitable and efficient resource distribution, the council wants to break down the city into smaller, more manageable clusters. Can you pinpoint a systematic method to group Zurich’s neighborhoods based on these incoming reports?<br><br><em>Beginner-friendly objective: </em>(1) Read and preprocess the dataset.<br><br><em>Intermediate-friendly objectives: </em>(1) Extract features that can differentiate and quantify areas of the city. (2) Cluster the city into sections and visualize the clusters.<br><strong><br>Author:</strong> <strong>Babak Khalilvandian</strong><br><br><strong>Dataset:</strong> <strong>Zurich map data on KNIME Community Hub</strong><br><br>Remember to upload your solution with tag&nbsp;<strong>JKISeason4-25</strong>&nbsp;to your public space on KNIME Community Hub. To increase the visibility of your solution, also post it to&nbsp;<strong>this challenge thread</strong>&nbsp;on KNIME Forum.</p>