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R for Data Science (2e)
See results only from r4ds.hadley.nzPreface to the second edition
Welcome to the second edition of “R for Data Science”! This is a major reworking …
1 Introduction
Data science is an exciting discipline that allows you to transform raw data into …
Whole game
Visualization is a great place to start with R programming, because the payoff is so …
Visualize
Each chapter addresses one to a few aspects of creating a data visualization. …
Transform
13 Numbers dives into tools for vectors of numbers, the powerhouse of data …
Import
In 24 Web scraping, you’ll learn web “scraping”, the art and science of …
Program
As you read more code written by others, you’ll see more code that doesn’t use the …
Communicate
Figure 1: Communication is the final part of the data science process; if you can’t …
Welcome | R for Data Science
Learn how to do data science with R, from data wrangling to visualisation and modelling. This book is out-of-date and replaced by the 2nd edition at http://r4ds.hadley.nz/.
Introduction – R for Data Science (2e)
Learn the most important tools in R for data science, from data import and tidying to visualization and modeling. This book covers the essentials of data science with examples, exercises, and references to other resources.
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Data Science: R Basics | Harvard University
Learn the basics of R programming and how to apply it to a real-world dataset about crime in the US. This course is part of a Professional Certificate Program in Data Science and covers R …
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