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Rideshare Dataset without Missing Values

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: &

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CreatorGodahewa, Rakshitha
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Published2021-07-22
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DOI10.5281/zenodo.5122232
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Downloads13,946
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Licensecc-by-4.0
File Size1.0 MB
Data TypeDataset
Published2021
Licensecc-by-4.0
Total Views2,615
Total Downloads13,946

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'.

The original dataset contains missing values and they have been simply replaced by zeros. 

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Rideshare Dataset without Missing Values (Full Dataset)1.0 MB
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ReadmeVia DOI record
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Files are hosted on the source repository. Click download to access the full dataset.

Godahewa, Rakshitha (2021). Rideshare Dataset without Missing Values. https://doi.org/10.5281/zenodo.5122232