01213nam a2200301 i 450099100314444970753620021205130019.0020610s|||| ne ||| | eng 9027223564b11760862-39ule_instLE01283521ExLDip.to LingueitaPanther, Klaus-Uwe530539Metonymy in language and thought /edited by Klaus-Uwe Panther, Gunter RaddenAmsterdam ; Philadelphia :Benjamins,c1999ix,423 p. ;23 cm.Human cognitive processing ;4Papers presented at a workshop held june 23-24, 1996, Hamburg UniversityIncludes bibliographocal references and indexLinguaggioAnalisi strutturaleCongressi - Amburgo-1996Mitonimia(Retorica)Congressi - Amburgo-1996Radden, Gunter.b1176086227-04-1705-12-02991003144449707536LE012 401.41 PAN12012000032552le012-E0.00-l- 01010.i1200622105-12-02Metonymy in language and thought904847UNISALENTOle01201-01-02ma -engne 0103612nam 22006855 450 991085779340332120260320152439.03-031-46383-810.1007/978-3-031-46383-9(CKB)31999355900041(MiAaPQ)EBC31338227(Au-PeEL)EBL31338227(DE-He213)978-3-031-46383-9(EXLCZ)993199935590004120240510d2024 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierIntroduction to Data Science in Biostatistics Using R, the Tidyverse Ecosystem, and APIs /by Thomas W. MacFarland1st ed. 2024.Cham :Springer International Publishing :Imprint: Springer,2024.1 online resource (536 pages)Includes index.3-031-46382-X 1. Emergence of Data Science as a Critical Discipline in Biostatistics -- 2. Data Sources in Biostatistics -- 3. Role of Statistics for Decision Making in Biostatistics -- 4. Data Science and R, Base R, and the tidyverse Ecosystem -- 5. Statistical Analyses and Graphical Presentations in Biostatistics Using Base R and the tidyverse Ecosystem -- 6. Use of R-Based APIs to Obtain Data -- 7. Putting It All Together: R, the tidyverse Ecosystem, and APIs.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.BiometryArtificial intelligenceData processingStatisticsQuantitative researchBiostatisticsData ScienceStatistics in Engineering, Physics, Computer Science, Chemistry and Earth SciencesData Analysis and Big DataBiometriathubR (Llenguatge de programació)thubMineria de dadesthubLlibres electrònicsthubBiometry.Artificial intelligenceData processing.Statistics.Quantitative research.Biostatistics.Data Science.Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Data Analysis and Big Data.BiometriaR (Llenguatge de programació)Mineria de dades570.15195MacFarland Thomas W.721661MiAaPQMiAaPQMiAaPQBOOK9910857793403321Introduction to Data Science in Biostatistics4161945UNINA