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2024 Uber Data

✓ Published0🌍 Public
BBen Trantanella
Last edited Sep 5, 2025
Created on Sep 5, 2025
Forked from Loading Data

This visualization presents raw, unprocessed ride data from Uber throughout 2024, displaying each trip's attributes such as date, time, vehicle type, pickup and drop locations, booking value, ride distance, and ratings. The code fetches a CSV file, parses it using `csvParse`, and converts specific quantitative fields—including `avg_vtat`, `booking_value`, and `ride_distance`—to numeric types. Built with the D3.js v7 library, the visualization uses a `select().join()` pattern to render the JSON representation of the dataset within a `<pre>` element, showing the structured data without additional graphical encoding.

AI-generated description

https://www.kaggle.com/datasets/sahilislam007/college-student-placement-factors-dataset

This datset shows the data from rides done by Uber during the year 2024. The items in this data set are specific rides that happened, and the attributes are as follows:

  1. Date: Oridinal, sequential
  2. Time: Ordinal, sequential
  3. Booking ID: Categorical
  4. Booking Status: Categorical
  5. Customer ID: Categorical
  6. Vehicle Type: Categorical
  7. Pickup Location: Categorical
  8. Drop Location: Categorical
  9. Avg VTAT: Quantitative, sequential
  10. Avg CTAT: Quantitative, sequential
  11. Cancelled rides by Customer: Categorical
  12. Reason for cancelling by Customer: Categorical
  13. Cancelled rides by driver: Categorical
  14. Driver cancellation reason: Categorical
  15. Incomplete rides: Categorical
  16. Booking value: Quantitative, sequential
  17. Ride distance: Quantitative, sequential
  18. Driver rating: Quantitative, sequential
  19. Customer rating: Quantitative, sequential
  20. Payment method: Categorical
MIT Licensed

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