We've covered a lot in this introductory chapter and have plenty more to do, but don't fret! We'll continue to use plenty of examples and activities throughout to help you remember what we're learning. Let's press forward on to the next chapter, where we'll begin to look at some data more closely and do some cleaning and data management, which is necessary to get us one step closer to modeling and analysis.
R Programming Fundamentals
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R Programming Fundamentals
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Overview of this book
R Programming Fundamentals, focused on R and the R ecosystem, introduces you to the tools for working with data. You’ll start by understanding how to set up R and RStudio, followed by exploring R packages, functions, data structures, control flow, and loops.
Once you have grasped the basics, you’ll move on to studying data visualization and graphics. You’ll learn how to build statistical and advanced plots using the powerful ggplot2 library. In addition to this, you’ll discover data management concepts such as factoring, pivoting, aggregating, merging, and dealing with missing values.
By the end of this book, you’ll have completed an entire data science project of your own for your portfolio or blog.
Table of Contents (6 chapters)
Preface
Free Chapter
Introduction to R
Data Visualization and Graphics
Data Management
Solutions
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