Learn R for Applied Statistics - With Data Visualizations, Regressions, and Statistics (Paperback, 1st ed.)

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R's syntax, you will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions. Learn R for Applied Statistics is a timely skills-migration book that equips you with the R programming fundamentals and introduces you to applied statistics for data explorations. What You Will Learn Discover R, statistics, data science, data mining, and big data Master the fundamentals of R programming, including variables and arithmetic, vectors, lists, data frames, conditional statements, loops, and functions Work with descriptive statistics Create data visualizations, including bar charts, line charts, scatter plots, boxplots, histograms, and scatterplots Use inferential statistics including t-tests, chi-square tests, ANOVA, non-parametric tests, linear regressions, and multiple linear regressions Who This Book Is For Those who are interested in data science, in particular data exploration using applied statistics, and the use of R programming for data visualizations.

General

Imprint:	Apress
Country of origin:	United States
Release date:	December 2018
First published:	2019
Authors:	Eric Goh Ming Hui
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	243
Edition:	1st ed.
ISBN-13:	978-1-4842-4199-8
Categories:	Books > Computing & IT > Computer programming > Programming languages > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Promotions
LSN:	1-4842-4199-1
Barcode:	9781484241998

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