Built specifically for statistical computing and graphics, the R language, along with its amazing collection of libraries and tools, is one of the most powerful tools you can use to tackle data analysis for business, research, and other data-intensive domains. This revised and expanded third edition of R in Action covers the new tidy verse approach to data analysis and R's state-of-the-art graphing capabilities with the ggplot2 package.
R in Action, Third Edition teaches you to use the R language, including the popular tidy verse packages, through hands-on examples relevant to scientific, technical, and business developers. Focusing on practical solutions to real-world data challenges, R expert RobKabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualisations.
The R language is the most powerful platform you can choose for modern data analysis. Free and open source, R's community has created thousands of modules to tackle challenges from data-crunching to presentation. R's graphical capabilities are also state-of-the-art, with a comprehensive and powerful feature set available for data visualization. R runs on all major operating systems and is used by businesses, researchers, and organizations worldwide.
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R in Action, Third Edition teaches you to use the R language, including the popular tidy verse packages, through hands-on examples relevant to scientific, technical, and business developers. Focusing on practical solutions to real-world data challenges, R expert Rob Kabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualisations. In this revised and expanded third edition, new coverage hasbeen added for R's state-of-the-art graphing capabilities with the ggplot2 package.
R in Action, ThirdEdition teaches you touse the R language, including the popular tidy verse packages, through hands-onexamples relevant to scientific, technical, and business developers. Focusing on practical solutions to real-world data challenges, R expert Rob Kabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualisations. In this revised and expanded third edition, new coverage has been added for R's state-of-the-art graphing capabilities with the ggplot2 package.
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Paperback. Zustand: New. Built specifically for statistical computing and graphics, the R language, along with its amazing collection of libraries and tools, is one of the most powerful tools you can use to tackle data analysis for business, research, and other data-intensive domains. This revised and expanded third edition of R in Action covers the new tidy verse approach to data analysis and R's state-of-the-art graphing capabilities with the ggplot2 package. R in Action, Third Edition teaches you to use the R language, including the popular tidy verse packages, through hands-on examples relevant to scientific, technical, and business developers. Focusing on practical solutions to real-world data challenges, R expert RobKabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualisations. The R language is the most powerful platform you can choose for modern data analysis. Free and open source, R's community has created thousands of modules to tackle challenges from data-crunching to presentation. R's graphical capabilities are also state-of-the-art, with a comprehensive and powerful feature set available for data visualization. R runs on all major operating systems and is used by businesses, researchers, and organizations worldwide. Bestandsnummer des Verkäufers LU-9781617296055
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Paperback. Zustand: new. Paperback. Built specifically for statistical computing and graphics, the R language, along with its amazing collection of libraries and tools, is one of the most powerful tools you can use to tackle data analysis for business, research, and other data-intensive domains. This revised and expanded third edition of R in Action covers the new tidy verse approach to data analysis and R's state-of-the-art graphing capabilities with the ggplot2 package. R in Action, Third Edition teaches you to use the R language, including the popular tidy verse packages, through hands-on examples relevant to scientific, technical, and business developers. Focusing on practical solutions to real-world data challenges, R expert RobKabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualisations. The R language is the most powerful platform you can choose for modern data analysis. Free and open source, R's community has created thousands of modules to tackle challenges from data-crunching to presentation. R's graphical capabilities are also state-of-the-art, with a comprehensive and powerful feature set available for data visualization. R runs on all major operating systems and is used by businesses, researchers, and organizations worldwide. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781617296055
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Condition: Excellent This book is a comprehensive, practical guide designed to teach you how to use the R language and its modern ecosystem for statistical analysis and data visualization. The book's focus is on providing practical solutions to real-world data challenges for a range of users, including scientific, technical, and business developers. The third edition is updated to include fresh coverage of the modern tidyverse approach to data analysis, including packages like ggplot2 for state-of-the-art graphics. Key Topics Covered The book guides readers through the entire data analysis pipeline, from getting started with the R environment to advanced statistical modeling and report generation. Major topics include: R and RStudio Fundamentals: Installation, basics of the language, and programming concepts. Data Management: Techniques for cleaning, transforming, and managing messy or incomplete datasets. Data Visualization: Mastering the creation of stunning and informative graphics using the ggplot2 package. Statistical Methods: A comprehensive crash course covering both basic and intermediate methods like descriptive statistics, regression, and analysis of variance (ANOVA). Advanced Modeling: Topics such as generalized linear models, principal components and factor analysis, time series forecasting, cluster analysis, and classification (machine learning) techniques. Expanding Skills: Creating dynamic reports and building custom R packages. This edition serves as a definitive resource to help users, even those with no prior R experience, master the language to effectively explore, analyze, model, and present data. Bestandsnummer des Verkäufers ABE-1760093159824
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