000			03232nam a22003977a 4500
001			21128709
003			IIITD
005			20240504163515.0
008			190812t20192019cauab b 001 0 eng c
010			_a 2018277335
020			_a9781492031086
040			_aIIITD
082			_a006.6 _bWIL-F
100	1		_aWilke,Claus O
245	1	0	_aFundamentals of data visualization : _ba primer on making informative and compelling figures _cby Claus O. Wilke
260			_aBeijng : _bO'Reilly, _c©2022
300			_axvi, 370 p. : _bcol. ill., ; _c24 cm.
504			_aIncludes bibliographical references (pages 357-359) and index.
505	0		_a _tIntroduction : ugly, bad, and wrong figures _tPart 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 -- _tPart 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 -- _tPart 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
650		2	_aData Visualization.
650		7	_aInformation visualization.
650		7	_aVisual analytics.
650		7	_aVisualization
650		7	_aDatenverarbeitung
650		7	_aVisualisierung
650		7	_aInformationsgrafik
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			_c172529 _d172529