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Rideshare Dataset with Missing Values

<p>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.&nbsp;</p> <p>For a given starting location, provider and service, the following types are represented: &#39;price_min&#39;, &#39;price_mean&#39;, &#39;price_max&#39;, &#39;distance_min&#39;, &#39;distance_mean&#39;, &#39;distance_max&#39;, &#39;surge_min&#39;, &#39;surge_mean&#39;, &#39;surge_max&#39;, &#39;api_calls&#39;, &#39;temp&#39;, &#39;rain&#39;, &#39;humidity&#39;, &#39;clouds&#39; and &#39;wind&#39;.<br> &nbsp;</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
8
Engagement
4

Topics

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