000			03375cam a2200457Mi 4500
001			on1288076131
003			OCoLC
005			20250512115858.0
006			m fo d
007			cr |||||||||||
008			210908s2016 sz a fo ||1 0 eng d
020			_a9783319242750 _qbroš
035			_a(OCoLC)1288076131
040			_aSILIS _bslv _eppiak _cIMPA _dOCLCF _dOCLCO
080			_a005.7 _2UDCMRF12
082	0	4	_a005.7 _bW637g
100	1		_aWickham, Hadley. _4aut _0(SI-MaCOB)170773091
245	1	0	_aGgplot2: _belegant graphics for data analysis / _cHadley Wickham ; with contributions by Carson Sievert.
246	3		_aggplottwo
250			_a2nd ed.
256			_aE-knjiga.
260			_aSwitzerland : _bSpringer, _c2016.
300			_a1 online resource (1 spletni vir (12 datotek PDF (XVI, 260 str.)) :) _bilustr.
490	0		_aUse R!, _x2197-5736
500			_aNasl. z nasl. zaslona.
500			_aOpis vira z dne 8. 9. 2021.
504			_aBibliografija pri večini prispevkov.
504			_aKazalo.
520			_aThis new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to: Produce handsome, publication-quality plots with automatic legends created from the plot specification ; Superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales ; Add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized additive models, and robust regression ; Save any ggplot2 plot (or part thereof) for later modification or reuse ; Create custom themes that capture in-house or journal style requirements and that can easily be applied to multiple plots ; Approach a graph from a visual perspective, thinking about how each component of the data is represented on the final plot. This book will be useful to everyone who has struggled with displaying data in an informative and attractive way. Some basic knowledge of R is necessary (e.g., importing data into R). ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page. New to this edition: Brings the book up-to-date with ggplot2 1.0, including major updates to the theme system ; New scales, stats and geoms added throughout ; Additional practice exercises ; A revised introduction that focuses on ggplot() instead of qplot() ; Updated chapters on data and modeling using tidyr, dplyr and broom.
630	0	4	_aGgplot2 (programma per elaboratori)
650		0	_aGraphic methods.
650		0	_aR (Computer program language)
650	0	0	_aData Science _947898
650	0	0	_aCiência de dados _947900
650	0	4	_aData analysis.
650		7	_agraphs. _2aat
650		7	_aGraphic methods. _2fast _0(OCoLC)fst00946645
856	4	0	_uhttps://link.springer.com/book/10.1007%2F978-0-387-98141-3 _zDostop za Univerzo v Ljubljani
942			_2ddc _cBK _n0
948			_hNO HOLDINGS IN P5A - 2 OTHER HOLDINGS
999			_c41892 _d41892