R in Action, Third Edition: Data Analysis and Graphics with R and Tidyverse
J**A
A impressão é uma porcaria
O conteúdo do livro é excelente, serve tanto como uma introdução moderna ao R, incluindo ggplot2 e o "Tidyverse", quanto como introdução ao tratamento estatístico de dados, incluindo modelos lineares generalizados, PCA, clustering e classificação. A qualidade, no entanto, é uma bosta: o livro é impresso em papel vagabundo e com tinta fraca, parece que foi impresso em cinza ao invés de preto. Talvez eu devolva o livro e imprima eu mesmo as minhas páginas numa impressora a laser de boa qualidade.
S**T
Excellent Coverage of R Programming Language
This is the best book I've seen on learning the Statistical Programming Language R, and I'm an experienced programmer.
F**7
R básico
Contiene los temas introductorio a R, el código aún está actual, lo único pésimo es su impresión, necesitas mucha luz para leer legible mente ya que la calidad de la hoja y tinta es pésima
T**S
Delivery
The book is great.But after receiving the book I found out, that some pages had damages.Some pages had holes and other had folds.The book were not packed or wrapped with care for the product.
J**T
"R in Action", third edition is a veritable Standard Work on the subject.
I used the first edition of this work to learn R. I Found it a pleasant textbook, methodical, exhaustive and clearly written. As such it was a book that I thoroughly enjoyed. In the meantime, much time has passed; R has evolved and many novel things were introduced. Perhaps the most important of these is the Tidyverse family of libraries. This third edition has grown to include all these new developments. It has become encyclopaedic in size and can be considered a standard work on the subject. If one has to choose one book for work or study, this is the one. The clarity of exposition found in this work is also due to the numerous clear and beautiful illustrations. Apart from a panoramic view of the R programming language it is also a great help in implementing most statistical techniques and to solve inherent programming problems. Recommended to Statisticians and Data analysts.
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