书目名称 | Learn R for Applied Statistics | 副标题 | With Data Visualizat | 编辑 | Eric Goh Ming Hui | 视频video | http://file.papertrans.cn/583/582624/582624.mp4 | 概述 | Learn R through structured and optimized, real project examples.Covers applied statistics using R, first by learning R basics, then applying to data visualizations, descriptive, inferential and regres | 图书封面 |  | 描述 | 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 | 出版日期 | Book 2019 | 关键词 | Statistics; R; Data Science; Data Mining; Data Vizualisation; Data Exploration; Data Analytics; Machine Lea | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4842-4200-1 | isbn_softcover | 978-1-4842-4199-8 | isbn_ebook | 978-1-4842-4200-1 | copyright | Eric Goh Ming Hui 2019 |
The information of publication is updating
|
|