Learn R for Applied Statistics : With Data Visualizations, Regressions, and Statistics
Language: English
Published by Apress, Apress, 2018
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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£ 80.99
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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 LearnDiscover R, statistics, data science, data mining, and big dataMaster the fundamentals of R programming, including variables and arithmetic, vectors, lists, data frames, conditional statements, loops, and functionsWork with descriptive statisticsCreate data visualizations, including bar charts, line charts, scatter plots, boxplots, histograms, and scatterplotsUse inferential statistics including t-tests, chi-square tests, ANOVA, non-parametric tests, linear regressions, and multiple linear regressionsWho This Book Is ForThose who are interested in data science, in particular data exploration using applied statistics, and the use of R programming for data visualizations. …
Seller Inventory # 9781484241998
- Title
- Learn R for Applied Statistics : With Data Visualizations, Regressions, and Statistics
- Author
- Eric Goh Ming Hui
- Publisher
- Apress, Apress
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1484241991
- ISBN 13
- 9781484241998
- Item weight
- 400 grams
- Dimensions
- 235x155x15 mm
- 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
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