Summary
Beyond Spreadsheets with R
shows you how to take raw data and transform it for use in computations, tables, graphs, and more. You'll build on simple programming techniques like loops and conditionals to create your own custom functions. You'll come away with a toolkit of strategies for analyzing and visualizing data of all sorts using R and RStudio.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
Spreadsheets are powerful tools for many tasks, but if you need to interpret, interrogate, and present data, they can feel like the wrong tools for the task. That's when R programming is the way to go. The R programming language provides a comfortable environment to properly handle all types of data. And within the open source RStudio development suite, you have at your fingertips easy-to-use ways to simplify complex manipulations and create reproducible processes for analysis and reporting.
About the Book
With Beyond Spreadsheets with R
you'll learn how to go from raw data to meaningful insights using R and RStudio. Each carefully crafted chapter covers a unique way to wrangle data, from understanding individual values to interacting with complex collections of data, including data you scrape from the web. You'll build on simple programming techniques like loops and conditionals to create your own custom functions. You'll come away with a toolkit of strategies for analyzing and visualizing data of all sorts.
What's inside
How to start programming with R and RStudio
Understanding and implementing important R structures and operators
Installing and working with R packages
Tidying, refining, and plotting your data
About the Reader
If you're comfortable writing formulas in Excel, you're ready for this book.
About the Author
Dr Jonathan Carroll
is a data science consultant providing R programming services. He holds a PhD in theoretical physics.
Table of Contents
Introducing data and the R language
Getting to know R data types
Making new data values
Understanding the tools you'll use: Functions
Combining data values
Selecting data values
Doing things with lots of data
Doing things conditionally: Control
structures
Visualizing data: Plotting
Doing more with your data with extensions