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ggplot2: Elegant Graphics for Data Analysis (Use R)
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Produce handsome, publication-quality plots with automatic legends
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What Stands Out
Rincian Produk
- New edition by ggplot2 creator Hadley Wickham with compatibility with knitr and RStudio highlighted
- A data visualization package for R that allows users to create multi-layered data graphics with ease
- Enables production of handsome, publication-quality plots with automatic legends
- Allows superimposition of multiple layers from different data sources with automatically adjusted common scales
- Features customizable smoothers using powerful modeling capabilities of R
- Enables creation of custom themes and provides a visual approach to graph creation
| Publisher | Springer |
| Publication date | June 16, 2016 |
| Edition | 2nd ed. 2016 |
| Language | English |
| Print length | 276 pages |
| ISBN-10 | 331924275X |
| ISBN-13 | 978-3319242750 |
| Item Weight | 9.3 pounds (4.22 kg) |
| Dimensions | 6.1 x 0.63 x 9.25 inches (15.5 x 1.6 x 23.5 cm) |
| Part of series | Use R! |
Who Should Buy?
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Data Analysts
Offers comprehensive techniques for visualizing data, helping analysts present findings clearly and effectively.
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R Programmers
Ideal for R users looking to enhance their data visualization skills with a powerful, flexible graphics system.
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Academics & Researchers
Provides in-depth examples and explanations, assisting researchers in presenting complex data in an understandable manner.
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Beginners
May overwhelm novices due to the complexity of R and ggplot2 functions without prior programming knowledge.
DESKRIPSI PRODUK
ggplot2: Elegant Graphics for Data Analysis (Use R)
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Graph Theory Editorial Review
**** The 2nd edition of "ggplot2: Elegant Graphics for Data Analysis" by Hadley Wickham is receiving high praise for its comprehensive and user-friendly approach to the ggplot2 package, making it a valuable resource for both beginners and experienced R users. The book reflects significant updates and enhancements in the ggplot2 library, which have made the older editions obsolete. Wickham has expertly rewritten the content to incorporate community-driven examples and feedback, created a logical and gradual introduction to complex concepts, and emphasized practical understanding through a wealth of colored code examples paired with expected outputs. Users appreciate the book’s structure, starting with the foundational grammar of graphics before diving into more advanced topics such as integrating auxiliary packages in the tidyverse. This effective teaching method not only caters to novices but also serves as a solid reference for seasoned programmers needing a refresher on the latest functionalities. The inclusion of exercises at the end of each section aids in reinforcing the concepts and preparing readers to apply them to real datasets. Moreover, the writing style is noted for its clarity, enabling users to grasp complex theories with ease. While some feedback expressed a desire for a more simplified breakdown of examples, the overall sentiment is overwhelmingly positive. This edition Consolidates essential knowledge and cultivates visualization skills that are indispensable for modern data analysis. It's recommended for those looking to enhance their data visualization competencies, particularly within the R programming environment. In summary, Hadley Wickham's 2nd edition of ggplot2 stands out as a well-rounded guide for individuals seeking to elevate their data visualization abilities, presenting essential techniques and addressing both foundational and advanced topics relevant to ggplot2 as it exists today. **
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Pro
- Comprehensive and updated content reflecting recent changes in ggplot2.
- User-friendly structure and logical progression of topics.
- Ample code examples with outputs for clearer understanding.
- Exercises that help solidify learning and application skills.
- Clear writing style that is accessible to both beginners and experienced users.
- Useful reference for understanding auxiliary tidyverse packages.
Kontra
- Some users wish for a more simplified breakdown of example data.
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Fitur & Manfaat
- Compatible with knitr and RStudio
- Create multi-layered data graphics with ease
- Superimpose multiple layers from different data sources
- Add customizable smoothers using powerful modeling capabilities of R
- Save plots for later modification or reuse
- Create custom themes for in-house or journal style requirements
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