Data Structure ?
60.06M
Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
文脈
過去10年間、自転車シェアリングシステムは世界中の都市で数が増え、人気も高まっています。自転車シェアリングシステムはユーザーが短時間の移動（通常30分以内）のために自転車を借りることを可能にします。最新の技術により、システムのユーザーはシステム内のドックに簡単にアクセスして自転車を解錠または返却することができます。これらの技術はまた、これらの自転車シェアリングシステムがどのように利用されているかを調査するために使用できる大量のデータを提供します。このデータは、米国の3つの大都市（ニューヨーク市、シカゴ、ワシントンDC）の自転車シェア情報から構成されています。
内容
サンプルデータ
- 「旅行時間」、「839」
- 「出発時間」、「2016年1月1日 00:09:55」
- 「到着時間」、「2016年1月1日 00:23:54」
- 「出発駅ID」、「532」
- 「出発駅名」、「S 5 Pl & S 4 St」
- 「出発駅の緯度」、「40.710451」
- 「出発駅の経度」、「-73.960876」
- 「到着駅ID」、「401」
- 「到着駅名」、「Allen St & Rivington St」
- 「到着駅の緯度」、「40.72019576」
- 「到着駅の経度」、「-73.98997825」
- 「自転車ID」、「17109」
- 「ユーザータイプ」、「顧客」
- 「生年」、「」
- 「性別」、「0」
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
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