R Graphics Cookbook

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Author :
Release : 2013
Genre : Computers
Kind :
Book Rating : 956/5 ( reviews)

R Graphics Cookbook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook R Graphics Cookbook write by Winston Chang. This book was released on 2013. R Graphics Cookbook available in PDF, EPUB and Kindle. "Practical recipes for visualizing data"--Cover.

R Data Visualization Cookbook

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Author :
Release : 2015-01-29
Genre : Computers
Kind :
Book Rating : 513/5 ( reviews)

R Data Visualization Cookbook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook R Data Visualization Cookbook write by Atmajitsinh Gohil. This book was released on 2015-01-29. R Data Visualization Cookbook available in PDF, EPUB and Kindle. If you are a data journalist, academician, student or freelance designer who wants to learn about data visualization, this book is for you. Basic knowledge of R programming is expected.

R Graphics Cookbook

Download R Graphics Cookbook PDF Online Free

Author :
Release : 2018-10-25
Genre : Computers
Kind :
Book Rating : 570/5 ( reviews)

R Graphics Cookbook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook R Graphics Cookbook write by Winston Chang. This book was released on 2018-10-25. R Graphics Cookbook available in PDF, EPUB and Kindle. This O’Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works. Most of the recipes in this second edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You’ll also find expanded content about the visual design of graphics. If you have at least a basic understanding of the R language, you’re ready to get started with this easy-to-use reference. Use R’s default graphics for quick exploration of data Create a variety of bar graphs, line graphs, and scatter plots Summarize data distributions with histograms, density curves, box plots, and more Provide annotations to help viewers interpret data Control the overall appearance of graphics Explore options for using colors in plots Create network graphs, heat maps, and 3D scatter plots Get your data into shape using packages from the tidyverse

R Cookbook

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Author :
Release : 2011-03-03
Genre : Computers
Kind :
Book Rating : 264/5 ( reviews)

R Cookbook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook R Cookbook write by Paul Teetor. This book was released on 2011-03-03. R Cookbook available in PDF, EPUB and Kindle. With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform other basic functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author

Data Visualization

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Release : 2018-12-18
Genre : Social Science
Kind :
Book Rating : 624/5 ( reviews)

Data Visualization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Visualization write by Kieran Healy. This book was released on 2018-12-18. Data Visualization available in PDF, EPUB and Kindle. An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions