

📊 Elevate your data game with the ultimate R programming guide!
No Starch Press's The Art Of R Programming by Norman Matloff is a top-rated, beginner-friendly yet comprehensive guide to mastering R for data analysis. Highly praised for its depth and clarity, it’s a must-have for professionals handling large datasets and aspiring data scientists. Available with fast, free shipping and easy returns.
| Best Sellers Rank | #372,306 in Books ( See Top 100 in Books ) #1,120 in Computer Programming Languages #1,130 in Computer Software #1,132 in Applied Mathematics |
| Customer Reviews | 4.4 out of 5 stars 262 Reviews |
L**O
Livro muito bom. Indico a todos!
Comprei o livro que foi a indicação de um amigo que trabalha a tempo com o R. Sou biólogo e trabalho com grandes volumes de dados, para isso preciso de um software que seja maleável para minhas análises. O livro é realmente bom para quem está começando, tem muito mais conteúdo do que muito material que já li e cursos que fiz. Indico para todos que estiverem procurando material sobre o assunto.
C**A
Excellent condition
Nice and clean book.
J**S
Correcto
Es una guía de programación, pero no profundiza en aspectos de data science, o en estadística o en gráficos que es donde R es potente.
D**E
Une bone entrée en matière
Le livre est d'un abord facile. Les exemples et exercices sont d'une compléxité limitée au début pour se complexifier ensuite. Tout est très lié, dès le début, aux applications pratiques de R à des problemes statistiques
P**N
Great book to learn R
This book is written very clearly with examples that don't assume a vast data science or statistics knowledge and will take you a long way to understanding and mastering R programming. The emphasis is on the programming and understanding R, rather than how you might utilise R with your own data. Which I feel is a better approach - I want to understand R with simple, clear example code, like this. Once I've gained the R programming skills I'll be able to use R for what I specifically want - i.e. time-series analysis and forecasting.
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