Description: Data Wrangling With R, Paperback by Boehmke, Bradley, ISBN 3319455982, ISBN-13 9783319455983, Used Good Condition, Free shipping in the US This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: 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 th, the user will have learned: How to work with different types of data such as numerics, characters, regular expressions, factors, and datesThe difference between different data structures and how to create, add additional components to, and subset each data structureHow to acquire and parse data from locations previously inaccessibleHow to develop functions and use loop control structures to reduce code redundancyHow to use pipe operators to simplify code and make it more readableHow to reshape the layout of data and manipulate, summarize, and join data sets
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End Time: 2024-11-28T21:32:15.000Z
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Book Title: Data Wrangling With R
Number of Pages: Xii, 238 Pages
Publication Name: Data Wrangling with R
Language: English
Publisher: Springer International Publishing A&G
Subject: Programming Languages / General, Mathematical & Statistical Software, Probability & Statistics / General, Databases / General
Publication Year: 2016
Type: Textbook
Item Weight: 136.5 Oz
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Author: Bradley Boehmke
Series: Use R! Ser.
Item Width: 6.1 in
Format: Trade Paperback
