R All-in-One
(eBook)
Author
Published
Hoboken, NJ : John Wiley & Sons, Inc., [2023].
Format
eBook
ISBN
1119983711, 9781119983712
Physical Desc
1 online resource
Status
Description
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Language
English
Notes
Description
A deep dive into the programming language of choice for statistics and data With R All-in-One For Dummies, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we're all swimming in. Maybe you're pursuing a career in data science, maybe you're looking to infuse a little statistics know-how into your existing career, or maybe you're just R-curious. This book has your back. Along with providing an overview of coding in R and how to work with the language, this book delves into the types of projects and applications R programmers tend to tackle the most. You'll find coverage of statistical analysis, machine learning, and data management with R. Grasp the basics of the R programming language and write your first lines of code Understand how R programmers use code to analyze data and perform statistical analysis Use R to create data visualizations and machine learning programs Work through sample projects to hone your R coding skill This is an excellent all-in-one resource for beginning coders who'd like to move into the data space by knowing more about R.
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Citations
APA Citation, 7th Edition (style guide)
Schmuller, J. (2023). R All-in-One . John Wiley & Sons, Inc..
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Schmuller, Joseph. 2023. R All-in-One. John Wiley & Sons, Inc.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Schmuller, Joseph. R All-in-One John Wiley & Sons, Inc, 2023.
MLA Citation, 9th Edition (style guide)Schmuller, Joseph. R All-in-One John Wiley & Sons, Inc., 2023.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
9810db25-0cb4-6de2-4849-deefb80b154d-eng
Grouping Information
Grouped Work ID | 9810db25-0cb4-6de2-4849-deefb80b154d-eng |
---|---|
Full title | r all in one |
Author | schmuller joseph |
Grouping Category | book |
Last Update | 2024-09-06 16:31:08PM |
Last Indexed | 2024-09-18 15:56:25PM |
Book Cover Information
Image Source | syndetics |
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First Loaded | Sep 11, 2024 |
Last Used | Sep 18, 2024 |
Marc Record
First Detected | Jul 29, 2024 04:08:05 PM |
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Last File Modification Time | Sep 06, 2024 04:54:01 PM |
MARC Record
LEADER | 02207cam a22003137a 4500 | ||
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003 | OCoLC | ||
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260 | |a Hoboken, NJ :|b John Wiley & Sons, Inc.,|c [2023] | ||
300 | |a 1 online resource | ||
490 | 1 | |a For dummies | |
520 | |a A deep dive into the programming language of choice for statistics and data With R All-in-One For Dummies, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we're all swimming in. Maybe you're pursuing a career in data science, maybe you're looking to infuse a little statistics know-how into your existing career, or maybe you're just R-curious. This book has your back. Along with providing an overview of coding in R and how to work with the language, this book delves into the types of projects and applications R programmers tend to tackle the most. You'll find coverage of statistical analysis, machine learning, and data management with R. Grasp the basics of the R programming language and write your first lines of code Understand how R programmers use code to analyze data and perform statistical analysis Use R to create data visualizations and machine learning programs Work through sample projects to hone your R coding skill This is an excellent all-in-one resource for beginning coders who'd like to move into the data space by knowing more about R. | ||
650 | 0 | |a R (Computer program language)|0 http://id.loc.gov/authorities/subjects/sh2002004407 | |
650 | 0 | |a Statistics|x Data processing.|0 http://id.loc.gov/authorities/subjects/sh85127583 | |
830 | 0 | |a --For dummies. | |
856 | 4 | 0 | |u https://www.aclib.us/OReilly |