000 01624nam a22002297a 4500
999 _c4141
_d4141
005 20221111145415.0
008 221111b ||||| |||| 00| 0 eng d
020 _a9783030489960
082 _a519.50285
_bSAI
100 _aSaiz, Alfonso Zamora
_99341
245 _aIntroduction to data analysis in R:
_bhands-on coding, data mining, visualization and statistics from scratch
260 _bSpringer
_aSwitzerland
_c2020
300 _axv, 276 p.
365 _aEURO
_b69.99
520 _aAbout this book This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses.
650 _aData mining
_9365
650 _aR (Computer program language)
_91512
650 _aStatistics
_9951
700 _aHurtado Gil, Lluis
_99967
700 _aMondejar Ruiz, Diego
_99968
942 _2ddc
_cBK