000			01451nam a22002417a 4500
999			_c3879 _d3879
005			20221122130910.0
008			221122b ||||| |||| 00| 0 eng d
020			_a9781484246344
082			_a519.502855362 _bHUI
100			_aHui, Eric Goh Ming _99100
245			_aLearn R for applied statistics: _bwith data visualizations, regressions, and statistics
250			_a2nd
260			_bApress  _aNew York _c2020
300			_axv, 243 p.
365			_aINR _b699.00
520			_aAbout this book 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.
650			_aMachine learning _92343
650			_aR (Computer program language) _91512
650			_aStatistics _9951
650			_aData mining _9365
650			_aOpen source software _910225
942			_2ddc _cBK