R for Data Analysis in easy steps : Covers R Programming essentials

The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends. R for Data A...

全面介紹

Enregistré dans:
書目詳細資料
主要作者: McGrath, Mike, 1956-
格式: Livre numérique
語言:Anglais
出版: Leamington Spa : In Easy Steps 2023.
Paris : Cyberlibris
在線閱讀:Accès Université d'Orléans et IFPM
提示: Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781787910027.jpg
Cyberlibris (ScholarVox) corpus Informatique
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• R for Data Analysis in easy steps, Covers R Programming essentials, Mike McGrath, 2nd Edition, Leamington Spa, In Easy Steps, 2023, 1 vol. (196 p.), 978-18-4078-998-0
實物特徵
總結:The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends. R for Data Analysis in easy steps, 2nd edition has an easy-to-follow style that will appeal to anyone who wants to produce graphic visualizations to gain insights from gathered data. The book begins by explaining core programming principles of the R programming language, which stores data in "vectors" from which simple graphs can be plotted. Next, it describes how to create "matrices" to store and manipulate data from which graphs can be plotted to provide better insights. This book then demonstrates how to create "data frames" from imported data sets, and how to employ the "Grammar of Graphics" to produce advanced visualizations that can best illustrate useful insights from your data. R for Data Analysis in easy steps, 2nd editioncontains separate chapters on the major features of the R programming language. There are complete example programs that demonstrate how to create Line graphs, Bar charts, Histograms, Scatter graphs, Box plots, and more. The code for each R script is listed, together with screenshots that illustrate the actual output when that script has been executed. The free, downloadable example R code is provided for clearer understanding. By the end of this book you will have gained a sound understanding of R programming, and be able to write your own scripts that can be executed to produce graphic visualizations for data analysis. You need have no previous knowledge of any programming language, so it's ideal for the newcomer to computer programming. Updated for the latest version of R
Item Description:Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781787910027.jpg
Cyberlibris (ScholarVox) corpus Informatique
ISBN:9781787910027
訪問:L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris