drew-9960/kmeansclustering

Clustering Analysis of Toronto Venues

Overview

This clustering analysis of Toronto’s venues aims to uncover patterns in the distribution of various types of locations across the city. By grouping similar venues into clusters, we gain insights into how different regions of Toronto exhibit unique characteristics based on their amenities and services.

Key Findings

Central Toronto Clusters

Central Toronto appears in multiple clusters due to its high population density and diverse range of venues. This results in a variety of clusters within the same geographic area, reflecting its complexity. For instance:

• Cluster 0: Dominated by coffee shops, cafes, and restaurants, indicating a vibrant area with numerous dining and leisure options.
• Cluster 1: Focused on outdoor and recreational venues like parks and gyms, highlighting a lifestyle-oriented region.
• Cluster 2: Contains specialized venues such as photography studios and swim schools, catering to niche interests.
• Cluster 3: Includes specialty stores and dining options, reflecting diverse consumer needs.
• Cluster 4: Emphasizes wellness venues like spas and pools, suggesting a focus on relaxation and leisure.

Other Areas

• East Toronto: Shows a balance of venues such as parks, cafes, and restaurants, with a mix of casual and specialty spots.
• West Toronto: Features clusters with bakeries, parks, and coffee shops, indicating a community-focused area with local amenities.
• Downtown Toronto: Exhibits a diverse range of venues including cafes, bookstores, and restaurants, reflecting a dynamic and multifaceted urban environment.

Cluster Distribution

• Cluster 0: The most common cluster, with a broad mix of general-purpose venues like coffee shops and restaurants, spread across multiple regions.
• Cluster 1: Concentrated in areas with parks and recreational facilities, highlighting a trend towards outdoor and health-focused venues.
• Cluster 2: Represents niche venues in specific regions with specialized interests.
• Cluster 3: Includes a mix of specialty stores and dining options, pointing to areas with diverse consumer offerings.
• Cluster 4: Focuses on wellness and relaxation venues, highlighting areas with amenities for leisure and relaxation.

Conclusion

The clustering analysis reveals the varied and intricate nature of Toronto’s urban landscape. Central Toronto’s multiple clusters reflect its dynamic and diverse characteristics, while other regions exhibit distinct patterns based on the types of venues present. This analysis provides valuable insights into how different areas of Toronto cater to various interests and needs, helping to understand the spatial distribution of amenities and services across the city.