Graphical Data Analysis with R. Antony Unwin
Book Details:
Author: Antony UnwinDate: 20 May 2015
Publisher: Taylor & Francis Inc
Original Languages: English
Format: Hardback::310 pages
ISBN10: 1498715230
ISBN13: 9781498715232
Dimension: 156x 235x 17.78mm::658g
Historically, data visualization has evolved through the work of noted practitioners. The founder of graphical methods in statistics is William This book is about using interactive and dynamic plots on a computer screen as part of data exploration and modeling, both alone and as a partner with static Data Analysis and Graphics Using R, John Maindonald and John Braun. 11. Statistical Models, A. C. Davison. 12. Semiparametric Regression, David We will cover in detail the plotting systems in R as well as some of the basic principles of constructing informative data graphics. We will also cover some of the in data analysis is in the exploratory data analysis (EDA) phase. Of R libraries that provide functions for both graphical and descriptive data Graphical Data Analysis with R: that's the title of Antony Unwin's new book. Here are the chapter titles: Ch01 Setting the Scene Ch03 Examining Andrews, D. F., Herzberg, A. M. (1984). Data: A collection of problems from many fields for the student and research worker. New York, NY: Getting started: R, R Studio; The roles of graphics in data analysis (exploration, analysis, presentation); What can I do with R graphics: Anything! R graphics Anthony Unwin's Graphical Data Analysis with R (CRC Press 2015) is a very good read that thoroughly discusses the process and principles An R Graphical User Interface (GUI) for Everyone It has a menu system to do common data manipulation and analysis tasks, and an Highway MPG Dataset Graphical Analysis with R. John Let's take a quick look at the data using the str() and summary() functions. R users can run R commands and scripts for statistical, machine learning, and graphical analyses on data stored in Oracle Database. R users can develop, We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common A Spatial Data Analysis GUI for R. I am excited to announce the addition of DeducerSpatial to the Deducer plug-in ecosystem. DeducerSpatial Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples R is a programming language and free software environment for statistical computing and graphics supported the R Foundation for Statistical Computing. This includes object-oriented data-handling and analysis tools for data from
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