000 | 01624nam a22002297a 4500 | ||
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999 |
_c4141 _d4141 |
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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 |