R For Data Analysis In Easy Steps - R Programming Essentials(1st Edition)
Authors:
Mike McGrath
Type:Hardcover/ PaperBack / Loose Leaf
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Book details
ISBN: 1840787953, 9781840787955
Book publisher: In Easy Steps Limited
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Book Price $0 : R For Data Analysis In Easy Steps - R Programming Essentials by Mike McGrath is a comprehensive guide that serves as an excellent solution manual for beginners and professionals venturing into data analysis using the R programming language. This book is particularly appreciated for its structured approach in elucidating complex data concepts in easy steps. It starts with introducing R and quickly moves into setting up the environment and installing requisite packages, essential for executing data analysis tasks. McGrath's book stands out for its clear explanation of data structures such as vectors, matrices, lists, and data frames, which are fundamental to R. A remarkable feature of this resource is its inclusive answer key that aids in self-evaluation and understanding of sophisticated statistical methodologies. Readers can easily follow the logical flow, aided by the comprehensive table of contents that segments the book into digestible parts, making the navigation through data manipulation, statistical functions, and graphical representation a breeze. Despite the technical nature of data analysis, McGrath manages to break down the learning barriers with examples and exercises that turn theoretical knowledge into practical problem-solving skills. This book has been well-received in the academic and professional community for its clarity, accessible language, and the completeness of its content which demystifies R programming for data analysis. This cheap book summary wraps up the essential concepts without demanding a hefty investment.
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PG
As a student preparing for certification, this book was a lifesaver! The author's explanations are clear and concise, breaking down complex topics into digestible parts. I particularly loved the practice questions at the end of each chapter. Personally, I felt well-prepared for the exam thanks to this resource.
BB
Having some background in this field, I was looking for a guide to take me to the next level. This did the trick! Well structured, though it could improve with more practical examples. The delivery was efficient, and the membership perks were a nice touch.
AF
This book is a solid resource for anyone diving into this subject. I appreciated the step-by-step approach. Some chapters were a bit dry, especially those covering basic concepts, but overall, it's a great starter book. Delivery was prompt, and I appreciate the members' perks!
EB
It's a comprehensive book. A bit dense for beginners but still valuable. Visual examples are stellar.
PP
This book provides thorough coverage on this subject. The authors deliver a comprehensive guide that is enlightening for professionals seeking advanced knowledge. Great price for the amount of knowledge packed in this book.
CA
Was looking around for stuff to help me with my Bachelor of Science in Data Analytics, and snagging this book for free felt like a no-brainer. Haven't read the whole thing yet but the chapters I went through make learning R way less painful. The steps are pleasant to follow, nothing too technical right away, which I appreciate. The material kinda fits my pace and homework needs pretty well. Oh, and the free part? Absolutely love not paying a dime. Great quality for zero cost—makes keeping up with class way easier.
































