Название: DPLYR: In One Hour Learn Powerful, Practical Data Munging Techniques. Take Your R Skills to the Next Level (Tiny R Book 1) Автор: Bill Yarberry
Издательство: Amazon Digital Services LLC
ASIN: B07L6RX5WL
Год: 2018
Страниц: 78
Язык: английский
Формат: epub, azw3, pdf (conv)
Размер: 10.1 MB
Want to write R code better, faster, and simpler? Are you spending too much time manipulating data just to get ready for analysis? Do you have time to plow through wordy texts?
This short book will help with all those problems. It lays out simple R code using the powerful data manipulation package DPLYR. The author understands how busy you are. He boils code and functionality down to practical, actionable steps. Using the link to a companion text file, you can cut-and-paste code into your programs, saving time and reducing syntax errors.
DPLYR is one of my favorite R packages. Its logical and consistent rules replace an older, motley collection of syntactically inconsistent packages and functions. It’s like a swiss army knife in the woods - don’t leave home without it.
The package DPLYR provides easy tools for the most common data manipulation tasks. It is built to work directly with data frames, with many common tasks optimized by being written in a compiled language (C++). An additional feature is the ability to work directly with data stored in an external database. The benefits of doing this are that the data can be managed natively in a relational database, queries can be conducted on that database, and only the results of the query are returned.
IT management consultant, “data hound,” and business author Bill Yarberry, CPA, teaches you how to:
Create new variables with formulas, either at the detail or summary level.
Easily summarize on one or more character-type columns.
Choose rows by almost any type of criteria.
Sort data and then pass it for further processing using “pipes”
Rename fields for convenience
Pick columns of interest
Use functions such as gather, spread, and separate to change data within a single column, combine several columns in an intelligent format and other clever techniques
Avoid complex code by relying on DPLYR’s consistent set of functions designed to do practical, day-to-day data munging
Imagine the time saved by using this handy reference.
Start today:
With this book, take two hours to learn DPLYR and develop skills you will use for years to come.
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