Synopses & Reviews
Synopsis
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
Synopsis
Data Munging with R shows readers how to take raw data and transform it for use in computations, tables, graphs, and more. Whether they already have some programming experience or they're just a spreadsheet whiz looking for a more powerful data manipulation tool, this book will help programmers get started.
Readers will discover the ins and outs of using the data-oriented R programming language and its many task-specific packages. By the end, readers will be master mungers, with a robust, reproducible workflow and the skills to use data to strengthen their conclusions
Key Features
- Practical examples
- Step-by-step guide
- Introduction to R
Audience
If you have beginner programming skills or you're comfortable with writing spreadsheet formulas, you have everything you need to get the most out of this book.
About the technology
R is a statistical programming language in that it was made for the purpose of performing statistics calculations, but it has grown to be so much more through community contributions. As a general purpose language, it is flexible enough to work with almost any data you can interact with; stored or streaming, images, text, or numbers.