Open Dataset
Data Structure ?
0M
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
時系列分析によるトラックの月次販売量の将来予測またはディーラー別の予測。
内容
ディーラーのトラック販売台数の4年間(2014年から2017年、48か月)のデータ。各月に対する販売数量があります。
謝辞
オンラインデータリポジトリ
着想
季節性(販売)時系列データは、一般にARIMAモデルでうまく分析され、将来に外挿されます。
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- 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.