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Titlebook: Learn R for Applied Statistics; With Data Visualizat Eric Goh Ming Hui Book 2019 Eric Goh Ming Hui 2019 Statistics.R.Data Science.Data Min

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发表于 2025-3-21 18:45:59 | 显示全部楼层 |阅读模式
书目名称Learn R for Applied Statistics
副标题With Data Visualizat
编辑Eric Goh Ming Hui
视频videohttp://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Titlebook: Learn R for Applied Statistics; With Data Visualizat Eric Goh Ming Hui Book 2019  Eric Goh Ming Hui 2019 Statistics.R.Data Science.Data Min
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
doihttps://doi.org/10.1007/978-1-4842-4200-1
isbn_softcover978-1-4842-4199-8
isbn_ebook978-1-4842-4200-1
copyright Eric Goh Ming Hui 2019
The information of publication is updating

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发表于 2025-3-21 23:49:11 | 显示全部楼层
Book 2019. 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 sta
发表于 2025-3-22 01:02:25 | 显示全部楼层
Introduction,search fields. R programming has evolved over time and many packages have been created to do data mining, text mining, and data visualizations tasks. R is very mature in the statistics field, so it is ideal to use R for the data exploration, data understanding, or modeling stages of the CRISP DM model.
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a series of interventions are designed, implemented and assessed, before being re-designed. Generally, a number of such iterations are undertaken. In this study, these interventions were aimed at improving teaching practice, enhancing student satisfaction, instilling confidence within the students,
发表于 2025-3-22 15:46:57 | 显示全部楼层
Eric Goh Ming Huited to be formally adopted in 2022) is described, which defines the term “appropriately qualified and experienced personnel” cited in the code by means of national registration. Member countries of CEN may each choose to adopt or ignore the Informative Annex.
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Eric Goh Ming Hui both L and U, then compute the product .. Each of these three procedures involves at least one triangular matrix inversion (TMI). Our DMI implementation aims to be used in place of the level 3 BLAS TMI-DMI. Efficient results could be obtained through an experimental study achieved on a set of large
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