Harajuku Lovers

R for Data Science: Import, Tidy, Transform, Visualize, and Mode

Description: Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse--a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you've learned along the way. Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools. You'll learn how to: Visualize-create plots for data exploration and communication of results Transform-discover types of variables and the tools you can use to work with them Import-get data into R and in a form convenient for analysis Program-learn R tools for solving data problems with greater clarity and ease Communicate-integrate prose, code, and results with Quarto

Price: 67.8 USD

Location: Severna Park, Maryland

End Time: 2024-10-03T16:14:37.000Z

Shipping Cost: 0 USD

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R for Data Science: Import, Tidy, Transform, Visualize, and Mode

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Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

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Book Title: R for Data Science: Import, Tidy, Transform, Visualize, and Mode

Number of Pages: 576 Pages

Publication Name: R for Data Science : Import, Tidy, Transform, Visualize, and Model Data

Language: English

Publisher: O'reilly Media, Incorporated

Publication Year: 2023

Item Height: 1.3 in

Subject: Data Modeling & Design, Data Visualization, Data Processing, Databases / Data Mining

Item Weight: 34.7 Oz

Type: Textbook

Item Length: 9.2 in

Subject Area: Computers

Author: Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund

Item Width: 7 in

Format: Trade Paperback

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