Crunch any number of numbers with R

When there's data about, R is the coding language of choice. This book helps you take charge of your data with the R programming language so you can build datasets, automate data analysis and machine learning tasks, and create visual outputs to communicate your findings. Even if you're new to programming, these simple instructions will get you started handling tasks usually reserved for data scientists. Find distributions and averages, test statistical hypotheses, create decision trees and neural networks, and put the answers you find into helpful dashboards and visualizations. And do it all the easy way, with this easy-to-understand guide.

5 Mini-Books Inside...

• Introducing R
• Describing Data
• Analyzing Data
• Learning From Data
• Harnessing R: Some Projects to Keep You Busy

A deep dive into the programming language of choice for statistics and data

With R All-in-One For Dummies, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we're all swimming in. Maybe you're pursuing a career in data science, maybe you're looking to infuse a little statistics know-how into your existing career, or maybe you're just R-curious. This book has your back. Along with providing an overview of coding in R and how to work with the language, this book delves into the types of projects and applications R programmers tend to tackle the most. You'll find coverage of statistical analysis, machine learning, and data management with R.

• Grasp the basics of the R programming language and write your first lines of code
• Understand how R programmers use code to analyze data and perform statistical analysis
• Use R to create data visualizations and machine learning programs
• Work through sample projects to hone your R coding skill

This is an excellent all-in-one resource for beginning coders who'd like to move into the data space by knowing more about R.