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Advanced Data Programming Cloud by Wiley (19 results)
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International EditionCondition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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Paperback or Softback. Condition: New. Advanced R 4 Data Programming and the Cloud: Using Postgresql, Aws, and Shiny. Book.
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Condition: As New. Unread book in perfect condition.
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Advanced R 4 Data Programming and the Cloud : Using Postgresql, Aws, and Shiny
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Advanced R 4 Data Programming and the Cloud : Using Postgresql, Aws, and Shiny
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Advanced R 4 Data Programming and the Cloud: Using PostgreSQL, AWS, and Shiny
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2020. 2nd ed. Paperback. . . . . .
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Advanced R 4 Data Programming and the Cloud: Using PostgreSQL, AWS, and Shiny
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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PF. Condition: New.
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Paperback. Condition: Brand New. 279 pages. 9.75x6.75x0.75 inches. In Stock.
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Paperback. Condition: Brand New. 2nd edition. 433 pages. 9.50x6.75x1.00 inches. In Stock.
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Condition: New. 2020. 2nd ed. Paperback. . . . . . Books ship from the US and Ireland.
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Taschenbuch. Condition: Neu. Advanced R 4 Data Programming and the Cloud | Using Postgresql, Aws, and Shiny | Matt Wiley (u. a.) | Taschenbuch | xiii | Englisch | 2020 | Apress | EAN 9781484259726 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Advanced R 4 Data Programming and the Cloud
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Program for data analysis using R and learn practical skills to make your work moreefficient. This revised book explores how to automate running code and the creation ofreports to share your results, as well as writing functions and packages. It includes keyR 4 features such as a new color palette for charts, an enhanced reference countingsystem, and normalization of matrix and array types where matrix objects nowformally inherit from the array class, eliminating inconsistencies.Advanced R 4 Data Programming and the Cloud is not designed to teach advancedR programming nor to teach the theory behind statistical procedures. Rather, itis designed to be a practical guide moving beyond merely using R; it shows you howto program in R to automate tasks.This book will teach you how to manipulate data inmodern R structures and includes connecting R to databases such as PostgreSQL, cloud services such as Amazon Web Services (AWS), and digital dashboards such as Shiny.Each chapter also includes a detailed bibliography with references to research articles and other resources that cover relevant conceptual and theoretical topics.What You Will LearnWrite and document R functions using R 4Make an R package and share it via GitHub or privatelyAdd tests to R code to ensure it works as intendedUse R to talk directly to databases and do complex data managementRun R in the Amazon cloudDeploy a Shiny digital dashboardGenerate presentation-ready tables and reports using RWho This Book Is ForWorking professionals, researchers, and students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to take their R coding and programming to the next level. 433 pp. Englisch.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Demonstrates how to set up and run R 4.0 in the cloudShows how to leverage applied R 4.0 programming to make analyses more efficientCovers how to generate dynamic reports and tables showcasing results.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Program for data analysis using R and learn practical skills to make your work moreefficient. This revised book explores how to automate running code and the creation ofreports to share your results, as well as writing functions and packages. It includes keyR 4 features such as a new color palette for charts, an enhanced reference countingsystem, and normalization of matrix and array types where matrix objects nowformally inherit from the array class, eliminating inconsistencies.Advanced R 4 Data Programming and the Cloud is not designed to teach advancedR programming nor to teach the theory behind statistical procedures. Rather, itis designed to be a practical guide moving beyond merely using R; it shows you howto program in R to automate tasks.This book will teach you how to manipulate data inmodern R structures and includes connecting R to databases such as PostgreSQL, cloud services such as Amazon Web Services (AWS), and digital dashboards such as Shiny.Each chapter also includes a detailed bibliography with references to research articles and other resources that cover relevant conceptual and theoretical topics.What You Will LearnWrite and document R functions using R 4Make an R package and share it via GitHub or privatelyAdd tests to R code to ensure it works as intendedUse R to talk directly to databases and do complex data managementRun R in the Amazon cloudDeploy a Shiny digital dashboardGenerate presentation-ready tables and reports using RWho This Book Is ForWorking professionals, researchers, and students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to take their R coding and programming to the next level.
