
R All-in-one for Dummies
Wiley · Print & ebook · February 7, 2023
A discovery pick for readers interested in R All-in-one for Dummies.
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- Who it’s for
- A five-part guide to R, from first lines of code to statistical analysis and machine learning.
- Themes
- R programming, Statistical analysis, Machine learning
- Genres
- Math & Stats Software, Data Mining, Data Viz
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For younger readers: Adventures in Python, Python for Kids, Python for Kids, 2nd Edition
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Start with this bookAbout this book
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.
Continue reading
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.
R for Data Work
A five-part guide to R, from first lines of code to statistical analysis and machine learning.
Come here for
- R coding basics and statistical analysis
- Data visualization, machine learning, and data management
Expect
- Coverage of data visualization and data management with R
- Sample projects for practicing R coding
Where it sits
| Math & Stats Software | 75% |
|---|---|
| Data Viz | 52% |
| Data Mining | 43% |
Percentages are BookFrontier’s reading of the book.
Publisher categories
- Data Mining
- Open Source Development
- Data Modeling
- Authors
- Joseph Schmuller
- Publisher
- Wiley
- Published
- February 7, 2023
- Format
- Print & ebook
- Theme
- R programming · Statistical analysis · Machine learning
- Reading lane
- Data Mining