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Data Wrangling with R (Use R!)

Amazon.com Price:  $54.27 (as of 05/05/2019 14:08 PST- Details)

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Description

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 known as data munging, transformation, manipulation, janitor work, etc., could be a painstakingly laborious process. Roughly 80% of data analysis is spent on cleaning and preparing data; on the other hand, being a prerequisite to the rest of the data analysis workflow (visualization, analysis, reporting), it is essential that one develop into 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 writer’s goal is to teach the user how to easily wrangle data with a view to spend more time on understanding the content of the data. By the end of the book, the user will have learned: 

  • How to work with several types of data such as numerics, characters, regular expressions, factors, and dates
  • The difference between different data structures and how to create, add additional components to, and subset each data structure
  • How to acquire and parse data from locations previously inaccessible
  • How to develop functions and use loop regulate structures to reduce code redundancy
  • How to use pipe operators to simplify code and make it more readable
  • How to reshape the layout of data and manipulate, summarize, and sign up for data sets

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