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时间序列数据是现代最常见的数据工程分析难题。
Solve the most common data engineering and analysis challenges for modern time series data.
本书提供了一个可访问的全面的R和Python时间序列的介绍，让软件工程师、数据科学家和研究人员在他们感兴趣的领域快速地进行时间相关的分析。
This book provides an accessible well-rounded introduction to time series in both R and Python that will have software engineers, data scientists, and researchers up and running quickly and competently to do time-related analysis in their field of interest.
作者Aileen Nielsen还提供了现实世界中的实用指南和用例，从医疗保健和金融到科学测量和社会科学预测。
Author Aileen Nielsen also offers practical guidance and use cases from the real world, ranging from healthcare and finance to scientific measurements and social science projections.
本书提供了一种比现有的关于该主题书籍更为多样和前沿的时间序列分析方法。
This book offers a more varied and cutting-edge approach to time series than is available in existing books on this topic.
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