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Aggiungi al carrelloPaperback. Condizione: Brand New. 243 pages. 9.25x6.25x0.50 inches. In Stock.
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Aggiungi al carrelloTaschenbuch. 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[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: moluna, Greven, Germania
EUR 52,37
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Aggiungi al carrelloCondizione: 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 statistics.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 64,96
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Aggiungi al carrelloTaschenbuch. 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 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.