Challenge 25: Zurich Clustermap
Level: Medium
Description: 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?
Beginner-friendly objective: (1) Read and preprocess the dataset.
Intermediate-friendly objectives: (1) Extract features that can differentiate and quantify areas of the city. (2) Cluster the city into sections and visualize the clusters.
Author: Babak Khalilvandian
Dataset: Zurich map data on KNIME Community Hub
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