9781484241998 - learn r for applied statistics: with data visualizations, regressions, and statistics di hui, eric goh ming (14 risultati)

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Da: Lakeside Books, Benton Harbor, MI, U.S.A.Lakeside Books
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Paperback. Condizione: new. Paperback. 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 regress…ions. After learning Rs 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 statistics Create 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condizione: New. 2018. 1st ed. paperback. . . . . .

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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 243 pages. 9.25x6.25x0.50 inches. In Stock.

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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. 2018. 1st ed. paperback. . . . . . Books ship from the US and Ireland.

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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Paperback. Condizione: new. Paperback. 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 regress…ions. After learning Rs 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 statistics Create 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Altre immagini- Brossura
Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Learn R for Applied Statistics | With Data Visualizations, Regressions, and Statistics | Eric Goh Ming Hui | Taschenbuch | xv | Englisch | 2018 | Apress | EAN 9781484241998 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[d…ot]hartmann[at]springer[dot]com | Anbieter: preigu.

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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.

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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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, a…nd 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. 260 pp. Englisch.

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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Learn R through structured and optimized, real project examplesCovers applied statistics using R, first by learning R basics, then applying to data visualizations, descriptive, inferential and regressions-based stati…stics.

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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 d…ata 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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 260 pp. Englisch.

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. 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 da…ta 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.