Efficient data processing with R / Gillespie, Colin.

Format:

Book

Author/Creator:

Gillespie, Colin, author.

Lovelace, Robin, author.

Language:

English

Subjects (All):

R (Computer program language).

Physical Description:

1 online resource (20 pages)

Edition:

1st edition

Place of Publication:

O'Reilly Media, Inc., 2016.

System Details:

text file

Summary:

What you’ll learn—and how you can apply it You’ll learn to perform efficient data carpentry—the process of taking rough, raw, and to some extent randomly arranged input data and creating neatly organized and tidy data. Working with clean data will be beneficial for every subsequent stage of your R project. In this Lesson, readers will learn how to create user-friendly data frames with tibble, reshape data with tidyr operations such as gather and separate, process data efficiently with dplyr’s functions, and connect R to a range of database types. This lesson is for you because You are working on a project in R and have reached the data processing stage. You want to clean, manipulate, and tidy your dataset to get it ready for the next stage (typically modeling and visualization). Prerequisites Some knowledge of R Materials or downloads needed in advance Installed RStudio This Lesson relies on a number of packages for data cleaning and processing. Check that they are installed on your computer and load them with: library("tibble") library("tidyr") library("stringr") library("readr") library("dplyr") library("data.table") RSQLite and ggmap are also used in a couple of examples, though they are not central to the Lesson’s content.

Notes:

Online resource; Title from title page (viewed December 15, 2016)

Date of publication from resource description page.

"From Efficient R programming by Colin Gillespie & Robin Lovelace"--Cover.

Includes bibliographical references.

ISBN:

9781491980736

1491980737

OCLC:

968205637