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- Use R! ggplot2: Elegant Graphics for Data Analysis, (Paperback)
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artikal br.:
40957863
Use R! ggplot2: Elegant Graphics for Data Analysis, (Paperback)
98% of respondents would recommend this to a friend
artikal br.:
40957863
RSD 6315
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This book will be useful to everyone who has struggled with displaying data in an informative and attractive way.
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What Stands Out
Comprehensive Guide
This paperback offers an in-depth exploration of ggplot2, making it suitable for both beginners and experienced users seeking to enhance their data visualization skills in R.
Practical Examples
The book includes numerous practical examples that help readers understand the application of ggplot2 in real-world scenarios, which aids in effective learning and retention of concepts.
User-Friendly Format
With its paperback format, the book is portable and easy to reference, making it a convenient resource for data analysts wanting to create elegant graphics on the go.
Детаљи о производу
- New edition highlighting compatibility with knitr and RStudio
- Create handsome, publication-quality plots with automatic legends
- Superimpose multiple layers from different data sources with automatically adjusted common scales
- Add customizable smoothers using powerful modeling capabilities of R
- Save and reuse any ggplot2 plot for later modification
- Create custom themes to meet in-house or journal style requirements
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | June, 2016 |
| Pages | 260 |
| Subgenre | Mathematical & Statistical Software |
| Series title | Use R! |
| Edition | 2nd Edition |
| Publisher | Springer International Publishing |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | General |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 0.58 x 9.21 in (15.6 x 1.5 x 23.4 cm) |
| Assembled product weight | 0.87 lb (390 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Data Analysts
This book provides comprehensive techniques for data visualization, essential for analysts seeking to interpret data effectively.
-
Statisticians
Statisticians can leverage ggplot2 for creating high-quality graphical representations of statistical data.
-
R Beginners
New users of R will find practical guidance in mastering ggplot2 for data visualization and analysis.
-
Absolute Beginners
Complete novices to programming may struggle without prior knowledge of R or basic data analysis principles.
OPIS PROIZVODA
Use R! ggplot2: Elegant Graphics for Data Analysis, (Paperback)
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Hadley Wickham All Books Editorial Review
Use R! ggplot2: Elegant Graphics for Data Analysis, (Paperback) is an insightful resource designed for those venturing into the world of data visualization using R programming. This 2nd Edition published by Springer International Publishing in June 2016, spans 260 pages and focuses on Mathematical & Statistical Software within the field of computing. The paperback format is user-friendly, making it ideal for both beginners and more experienced users looking to refine their skills in creating elegant graphics. Readers have praised its clear explanations and practical examples, asserting that this book is essential for anyone serious about mastering ggplot2 in R.
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Прос
- User-friendly paperback format for easy reading
- Offers practical examples for beginners
- Covers ggplot2 in depth for skill refinement
- Essential for serious learners of data visualization
- High-quality publication by a reputable publisher
Цонс
- Some readers may find the content dense at times
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RSD 6315
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Карактеристике и предности
- Compatibility with knitr and RStudio
- Produce publication-quality plots with automatic legends
- 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 multiple plots
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