Data Structure ?
83.3M
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:
シェアサイクルは人気のある代替交通手段になりつつあります。オースティン市は2013年から2017年にかけての64.9万件を超える自転車旅行のデータを公開しています。
内容:
このデータには、自転車旅行の出発地点、到着地点、所要時間、シェアサイクルユーザーの種類に関する情報が含まれています。自転車ステーションの位置データも提供されています。
データセットの説明
***BigQueryでこのデータセットを使用する***
Kaggleでは、Kernelsを使用してこのデータを分析、共有、議論することができますが、リアルタイムの更新やより大規模なデータを求める場合は、[BigQueryのデータも確認してください](https://cloud.google.com/bigquery/public-data/)。
***austin_bikeshare_trips.csv***
* bikeid: 自転車の整数ID
* checkout_time: HH:MM:SS、日付スタンプについては開始時間を参照
* duration_minutes: 旅行時間の整数分
* end_station_id: 終点駅の整数ID
* end_station_name: 終点駅名の文字列
* month: 月、整数
* start_station_id: 起点駅の整数ID
* start_station_name: 起点駅名の文字列
* start_time: YYYY-MM-DD HH:MM:SS
* subscriber_type: 会員種別、例: ウォークイン、年間、その他のシェアサイクルなど
* trip_id: 一意の旅行ID整数
* year: 旅行の年、整数
***austin_bikeshare_stations.csv***
* latitude: 地理空間上の緯度、小数点以下5桁までの精度
* location: (緯度, 経度)
* longitude: 地理空間上の経度、小数点以下5桁までの精度
* name: 駅名、文字列
* station_id: 一意の駅ID、整数
* status: 駅の状態 (稼働中、閉鎖、移転、ACLのみ)
謝辞:
このデータセットは[Google Public Data](https://cloud.google.com/bigquery/public-data/ )から入手できます。
インスピレーション:
* どの駅が最も人気がありますか？特定の時間帯では？
* ユーザーの平均的な旅行はどのようなものですか？
* 駅の利用状況を予測して、シェアサイクルの従業員が利用頻度の高い駅に自転車を供給する能力を向上させることはできますか？
×
The dataset is currently being organized and other channels have been prepared for you. Please use them
The dataset is currently being organized and other channels have been prepared for you. Please use them
Note: Some data is currently being processed and cannot be directly downloaded. We kindly ask for your understanding and support.
No content available at the moment
No content available at the moment
- Share your thoughts
Go share your ideas~~
ALL
Welcome to exchange and share
Your sharing can help others better utilize data.
Data usage instructions:
I. Data Source and Display Explanation:
- 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.
II. Ownership Explanation:
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
III. Data Reposting Explanation:
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
IV. Infringement and Handling Explanation:
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
- 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.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
VIP Download(0.24/day)
Download
0 
366
0
0
collect
Share