Description: R for Data Science : Import, Tidy, Transform, Visualize, and Model Data, Paperback by Wickham, Hadley; Çetinkaya-rundel, Mine; Grolemund, Garrett, ISBN 1492097403, ISBN-13 9781492097402, Brand New, Free shipping in the US Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverseâ??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. Updated for the latest tidyverse features and best practices, new chapters show you how to get data from spreadsheets, databases, and websites. Exercises help you practice what you've learned along the way. You'll understand how to: Visualize: Create plots for data exploration and communication of resultsTransform: Discover variable types and the tools to work with themImport: Get data into R and in a form convenient for analysisProgram: Learn R tools for solving data problems with greater clarity and easeCommunicate: Integrate prose, code, and results with Quarto
Price: 64.9 USD
Location: Jessup, Maryland
End Time: 2024-10-03T23:26:00.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
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