Dataset Open Access
Rideshare Dataset without Missing Values
Godahewa, Rakshitha;
Bergmeir, Christoph;
Webb, Geoff;
Hyndman, Rob;
Montero-Manso, Pablo
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.
| Name | Size | |
|---|---|---|
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rideshare_dataset_without_missing_values.zip
md5:00200f315af0b3b9d162e4a55d3accee |
1.1 MB | Download |
RaviMunde, 2019. Uber & lyft cab prices. URL https://www.kaggle.com/ravi72munde/uber-lyft-cab-prices
ravi72munde, 2018. scala-spark-cab-rides-predictions. URL https://github.com/ravi72munde/scala-spark-cab-rides-predictions
| All versions | This version | |
|---|---|---|
| Views | 418 | 418 |
| Downloads | 11,281 | 11,281 |
| Data volume | 12.1 GB | 12.1 GB |
| Unique views | 384 | 384 |
| Unique downloads | 11,122 | 11,122 |
- Publication date:
- July 22, 2021
- DOI:
-
- Keyword(s):
- rideshare forecasting hourly series
- Related identifiers:
- Cites
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International