Rhas had tremendous growth in popularity over the last three years. Based on that, you’d think that it was a new, up-and-coming language. But surprisingly, R has been around since 1993. Why the sudden uptick in popularity? The somewhat obvious answer seems to be the emergence of data science as a career and a field of study. But the underpinnings of data science have been around for many decades. Statistics, linear algebra, operations research, artificial intelligence, and machine learning all contribute parts to the tools that a modern data scientist uses. R, more than most languages, has been built to make most of these tools only a single function call away.
That’s why I’m very excited to have this book as one of the first in the Addison-Wesley Data and Analytics Series. R is indispensable for many data science tasks. Many algorithms useful for prediction and analysis can be accessed through only a few lines of code, which makes it a great fit for solving modern data challenges. Data science as a field isn’t just about math and statistics, and it isn’t just about programming and infrastructure. This book provides a well-balanced introduction to the power and expressiveness of R and is aimed at a general audience.
注意是epub格式，不是pdf格式的。