R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

The title does a good bit of my job for me, this book is all about teaching you what you need to know to start doing data science. The authors offer expert-level instruction on how to handle data through the data pipeline, from loading it into your environment to deciding if the data should be modeled with a straight line or parabola. The authors also discuss more advanced topics that give valuable insight into how the R language works, for example, I learned that you can actually change how addition works in R (although it is made clear this is generally a bad idea). The free version can be found at this link: https://r4ds.had.co.nz/index.html. If you are interested in the physical copy of this book, you can use this commissioned link: https://amzn.to/42z5vtB.

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R Packages: Organize, Test, Document, and Share Your Code

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Hands-On Programming with R: Write Your Own Functions and Simulations