Applied Data Visualization with R and ggplot2
Dr. Tania Moulik
Sold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since April 7, 2005
New - Soft cover
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Add to basketSold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since April 7, 2005
Condition: New
Quantity: Over 20 available
Add to basketNew Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller Inventory # L0-9781789612158
Develop informative and aesthetic visualizations that enable effective data analysis in less time
Applied Data Visualization with R and ggplot2 introduces you to the world of data visualization by taking you through the basic features of ggplot2. To start with, you'll learn how to set up the R environment, followed by getting insights into the grammar of graphics and geometric objects before you explore the plotting techniques.
You'll discover what layers, scales, coordinates, and themes are, and study how you can use them to transform your data into aesthetical graphs. Once you've grasped the basics, you'll move on to studying simple plots such as histograms and advanced plots such as superimposing and density plots. You'll also get to grips with plotting trends, correlations, and statistical summaries.
By the end of this book, you'll have created data visualizations that will impress your clients.
Applied Data Visualization with R and ggplot2 is for you if you are a professional working with data and R. This book is also for students who want to enhance their data analysis skills by adding informative and professional visualizations. It is assumed that you know basics of the R language and its commands and objects.
Dr. Tania Moulik has a PhD in particle physics. She worked at CERN and the Tevatron at Fermi National Accelerator Laboratory in IL, USA. She has worked with C++, Python, and R. She also worked in big data projects and grid computing. She has a passion for data analysis and likes to share her knowledge with others who would like to delve into the world of data analytics. She especially likes R and ggplot2 as a powerful analytics package.
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