000			03956cam a22005657i 4500
001			21128709
003			OSt
005			20250819211141.0
008			190812t20192019cauab b 001 0 eng c
010			_a 2018277335
015			_aGBB976607 _2bnb
016	7		_a019381965 _2Uk
020			_a9781492031086 _q(pbk)
020			_a1492031089 _q(pbk)
035			_a21128709
035			_a(OCoLC)1033902406
040			_aBLR _beng _cYDX _erda _dOCLCQ _dTXA _dFRH _dOCLCO _dJRZ _dUKMGB _dIXA _dBKL _dOCLCF _dOQX _dCHVBK _dOCLCO _dYOU _dOCLCO _dOCLCA _dOCL _dDLC
042			_apcc
050	0	0	_aQA76.9.I52 _bW55 2019
082			_223 _a001.4226 WIL _b023608
100	1		_aWilke, C. _q(Claus), _eauthor.
245	1	0	_aFundamentals of data visualization : _ba primer on making informative and compelling figures / _cClaus O. Wilke.
250			_aFirst edition.
264		1	_aSebastopol, CA : _bO'Reilly Media, _c[2019]
264		4	_c©2019
300			_axvi, 370 pages : _bcolor illustrations, color maps ; _c23 cm
336			_atext _btxt _2rdacontent
336			_astill image _bsti _2rdacontent
336			_acartographic image _bcri _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages 357-359) and index.
505	0		_aIntroduction : ugly, bad, and wrong figures -- Part 1. From data to visualization. Visualizing data : mapping data onto aesthetics -- Coordinate systems and axes -- Color scales -- Directory of visualizations -- Visualizing amounts -- Visualizing distributions : histograms and density plots -- Visualizing distributions : empirical cumulative distribution functions and Q-Q plots -- Visualizing many distributions at once -- Visualizing proportions -- Visualizing nested proportions -- Visualizing associations among two or more quantitative variables -- Visualizing time series and other functions of an independent variable -- Visualizing trends -- Visualizing geospatial data -- Visualizing uncertainty -- Part 2. Principles of figure design. The principle of proportional ink -- Handling overlapping points -- Common pitfalls of color use -- Redundant coding -- Multipanel figures -- Titles, captions, and tables -- Balance the data and the context -- Use larger axis labels -- Avoid line drawings -- Don't go 3D -- Part 3. Miscellaneous topics. Understanding the most commonly used image file formats -- Choosing the right visualization software -- Telling a story and making a point.
520			_a"Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization."--Provided by publisher
650		0	_aInformation visualization.
650		0	_aVisual analytics.
650		0	_aVisualization _xData processing.
650		2	_aData Visualization.
650		7	_aInformation visualization. _2fast
650		7	_aVisual analytics. _2fast
650		7	_aVisualization _xData processing. _2fast
650		7	_aDatenverarbeitung _2gnd
650		7	_aVisualisierung _2gnd
650		7	_aInformationsgrafik _2gnd
655		7	_aHandbooks and manuals. _2fast
655		7	_aHandbooks and manuals. _2lcgft
906			_a7 _bcbc _cpccadap _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c25037 _d25037