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Titlebook: Introduction to Data Science in Biostatistics; Using R, the Tidyver Thomas W. MacFarland Textbook 2024 The Editor(s) (if applicable) and Th

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發(fā)表于 2025-3-21 17:32:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Introduction to Data Science in Biostatistics
副標(biāo)題Using R, the Tidyver
編輯Thomas W. MacFarland
視頻videohttp://file.papertrans.cn/474/473597/473597.mp4
概述Features examples on using R to obtain data from APIs and on communicating results to external stakeholders.Offers demonstrations in Base R and then complements outcomes with the use of tidyverse.Prov
圖書封面Titlebook: Introduction to Data Science in Biostatistics; Using R, the Tidyver Thomas W. MacFarland Textbook 2024 The Editor(s) (if applicable) and Th
描述.Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs .defines and explores the term "data science" and discusses the many professional skills and competencies affiliated with the industry. With data science being a leading indicator of interest in STEM fields, the text also investigates this ongoing growth of demand in these spaces, with the goal of providing readers who are entering the professional world with foundational knowledge of required skills, job trends, and salary expectations. ..The text provides a historical overview of computing and the field‘s progression to R as it exists today, including the multitude of packages and functions associated with both Base R?and the tidyverse?ecosystem. Readers will learn how to use R to work with real data, as well as how to communicate results to external stakeholders. A distinguishing feature of this text is its emphasis on the emerging use of APIs to obtain data..
出版日期Textbook 2024
關(guān)鍵詞agriculture; API; tidyverse; R programming; R language; biology; medical informatics; bioinformatics
版次1
doihttps://doi.org/10.1007/978-3-031-46383-9
isbn_softcover978-3-031-46385-3
isbn_ebook978-3-031-46383-9
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Data Sources in Biostatistics,des a gentle introduction to but a few of the many external resources that may interest those who work in biostatistics and use R to engage in data science activities. With experience, data scientists develop a personal collection of data resources, typically those resources associated with specific
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https://doi.org/10.1007/978-3-031-46383-9agriculture; API; tidyverse; R programming; R language; biology; medical informatics; bioinformatics
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978-3-031-46385-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Textbook 2024 the many professional skills and competencies affiliated with the industry. With data science being a leading indicator of interest in STEM fields, the text also investigates this ongoing growth of demand in these spaces, with the goal of providing readers who are entering the professional world wi
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and then complements outcomes with the use of tidyverse.Prov.Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs .defines and explores the term "data science" and discusses the many professional skills and competencies affiliated with the industry. With data sci
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