How to mine value from data? The first is to exercise data thinking; the second is to choose a convenient and fast tool. R language has the advantages of flexibility and efficiency in data analysis. This book is based on the R language and explains in depth the entire process from data thinking to actual combat. In terms of chapter organization, this book starts from the introduction and advantages of R language, and then goes to all aspects of data analysis such as data reading, cleaning, description, and modeling. It is explained one by one from the shallower to the deeper. It is an "R language guide" for practical analysis. At the same time, this book uses a large number of practical cases to supplement the explanations, which is helpful for hands-on analysis and can also be used for teaching. All codes and data in this book can be downloaded for free.
Reader comments
This book is perfect for people like me who want to learn the R language! It explains each aspect of data analysis from shallow to deep, and also uses a large number of practical cases to assist understanding, which feels very practical. Moreover, the book also mentioned that "R is free, has global mirroring, and is very convenient." This is very attractive to me. I particularly like what the author said, "R's analytical modeling capabilities are very strong." It feels very powerful! I am going to learn R language according to this book, hoping to find my Mr. Right😜.
This book is perfect for people like me who want to learn the R language! It explains each aspect of data analysis from shallow to deep, and also uses a large number of practical cases to assist understanding, which feels very practical. Moreover, the book also mentioned that "R is free, has global mirroring, and is very convenient." This is very attractive to me. I particularly like what the author said, "R's analytical modeling capabilities are very strong." It feels very powerful! I am going to learn R language according to this book, hoping to find my Mr. Right😜.