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JKI4_​025_​Zurich_​Clustermap

<p><strong>Challenge 25: Zurich Clustermap</strong></p><p><strong>Level:</strong> Medium<br><br><strong>Description:&nbsp;</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></p><p>(1) Read and preprocess the dataset.<br><br><em>Intermediate-friendly objectives:</em></p><p>(1) Extract features that can differentiate and quantify areas of the city.</p><p>(2) Cluster the city into sections and visualize the clusters.</p>

URL: Analyze Data by Training a k-Means Clustering on Location Data https://hub.knime.com/s/gZluj12KJvYshWKz/most-recent
URL: Zurich map data on KNIME Community Hub https://hub.knime.com/just%20knime%20it/spaces/Solutions/Season%204/Challenge%2025/Challenge%2025%20-%20Dataset~oJoHslCZBlzT6m-u/?pk_vid=294a8771c71007801762015192cbc9b4

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