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ggplot2: Elegant Graphics for Data Analysis Hadley Wickham
Publisher: Springer

Ggplot2: Elegant Graphics for Data Analysis, Hadley Wickham (Springer Use R) It is enormously important to have the flexibility to examine data in the manner appropriate to your problem. Provides both rich theory and powerful applications. The book “ggplot2: Elegant Graphics for Data Analysis” by Hadley Wickham (Springer, 2009) provides an overview of the functionality available in ggplot2 and is accompanied by the website http://had.co.nz/ggplot2/. That's an excellent book and that's where I started. Ggplot2: Elegant Graphics for Data Analysis (Use R) Hadley Wickham 2009 2nd Printing. Ggplot2: Elegant Graphics for Data Analysis (Use R!): Hadley Wickham Description. Lattice: multivariate data visualization with R By Deepayan Sarkar; Ggplot2: Elegant Graphics for Data Analysis By Hadley Wickham; R graphics By Paul Murrell. Ajay- Describe the top 3-5 principles which you have explained in your book, ggplot2: Elegant graphics for data analysis). Ggplot2: elegant graphics for data analysis. Ggplot2 – Elegant Graphics for Data Analysis – Hadley Wickham great one * Interactive and Dynamic Graphics for Data Analysis With R and GGobi – Dianne Cook and Deborah F. I added party data using an example in the book ggplot2: elegant graphics for data analysis. ǚ�图层概念也非常赞。可以说R的graphics包是普通作图，ggplot2是文艺作图，而SAS之类的就是二逼作图了（这里断没. Data graphics benefit from being embedded in a statistical analysis environment, which allows the integration of visualizations with analysis workflows. In that case, you might want to start with ggplot2 creator's book ggplot2: Elegant Graphics for Data Analysis (Use R!). Figures are accompanied by code required to produce them. Wickham H: ggplot2: Elegant Graphics for Data Analysis. [box]For this R session I used the following books: Matloff, N. FYI, this is an excellent source of learning R graphics :). Ggplot2: Elegant Graphics for Data Analysis (Use R). Springer 222 0387981403,9780387981406. What are other important topics that you cover in the book? Generalized nonlinear models in R: an overview of the gnm package.