DAT6003 WRIT1: interactive figures

Interactive versions of the Plotly figures in the submitted notebook, in notebook order, for viewers who cannot render them in the notebook.

  1. Rideable Type Distribution (notebook cell 30)
  2. Member vs Casual Distribution (notebook cell 31)
  3. Distribution of ghost stations (stations where bikes arrived but never departed) (notebook cell 40)
  4. Structure/Patterns of Station IDs (notebook cell 50)
  5. Unique citibike station in the dataset (inconsistent coordinates checks) (notebook cell 57)
  6. Distribution of Trip Duration (Minutes - Log Scale) (notebook cell 62)
  7. Distribution of One-Way Trip Distance (km) (notebook cell 75)
  8. Distribution of One-Way Travel Speed (km/h) (notebook cell 76)
  9. Average Hourly Rides per Day: Weekday vs Weekend (March-August 2026) (notebook cell 95)
  10. Share of Each Month's Rides by Start Hour: Weekday vs Weekend (notebook cell 97)
  11. Weekday Morning Net Flow vs Evening Net Flow Across 1,192 Stations (r = -0.84) (notebook cell 113)
  12. Distribution of Weekday Net Flow by Window (notebook cell 114)
  13. Top 10 Busiest Citi Bike Stations by Total Departures (March-August 2026) (notebook cell 123)
  14. Member vs Casual Riders: Median Duration (min), Weekend Share (%), and Round-Trip Share (%) (notebook cell 129)
  15. Electric Bike vs Classic Bike: Duration (min), Distance (km), Speed (km/h), and Round Trips (%) (notebook cell 133)
  16. Distribution of the Three Station Features Before Scaling (notebook cell 141)
  17. K-Means Silhouette Score Across k = 2 to 6 (Standard Euclidean Distance) (notebook cell 144)
  18. Distribution of Station Features Within Each Cluster (k = 3) (notebook cell 149)
  19. Cluster Differentiation: Morning Net Flow vs Casual Rider Ratio (k = 3) (notebook cell 153)
  20. Morning Net Flow vs Held-Out Evening Net Flow by Cluster (k = 3) (notebook cell 154)
  21. Citi Bike Station Clusters Across New York City (k = 3) (notebook cell 155)