Published July 22, 2021 | Version 1
Dataset Open

Rideshare Dataset with Missing Values

  • 1. PhD Student at Monash University
  • 2. Lecturer at Monash University
  • 3. Professor at Monash University
  • 4. Lecturer at University of Sydney

Description

This dataset contains various hourly time series representations of attributes related to Uber and Lyft rideshare services for various locations in New York between 26/11/2018 and 18/12/2018. 

For a given starting location, provider and service, the following types are represented: 'price_min', 'price_mean', 'price_max', 'distance_min', 'distance_mean', 'distance_max', 'surge_min', 'surge_mean', 'surge_max', 'api_calls', 'temp', 'rain', 'humidity', 'clouds' and 'wind'.
 

Files

rideshare_dataset_with_missing_values.zip

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Additional details

References