Data Wrangling with R

by Bradley C. Boehmke

This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly laborious process. Roughly 80% of data analysis is spent on cleaning and preparing data; however, being a prerequisite to the rest of the data analysis workflow (visualization, analysis, reporting), it is essential that one become fluent and efficient in data wrangling techniques. This book will guide the user through the data wrangling process via a step-by-step tutorial approach and provide a solid foundation for working with data in R. The author's goal is to teach the user how to easily wrangle data in order to spend more time on understanding the content of the data. By the end of the book, the user will have

250 pages, Paperback

Published November 23, 2016

Reviews

[ریچارد · Rating 5 out of 5]

بیشتر شبیه رفرنسیه که مطمئن باشی مقدمات کارها رو بلدی، و احیانا چیزی جا نمونده باشه از دستورها. برای یادگیری خیلی خوب نیست، خیلی مثال نداره ولی توضیحاتش واضحه

[Kier O'Neil · Rating 4 out of 5]

Great book that focuses on things that R programmers really do, like using the dplyr package instead of base R for dataframe manipulation.
Well written with great examples.
I recommend a longer version in the future that takes a deeper dive.

[Mills College Library]

519.535 B6714 2016