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001 9781315201351
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006 m o d
007 cr
008 190122s2018 fluab ob 001 0 eng d
020 _a9781315201351(e-book : PDF)
035 _a(OCoLC)1076270543
040 _aFlBoTFG
_cFlBoTFG
_erda
050 4 _aQA76.9
_b.I52
072 7 _aMAT
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_2bisacsh
072 7 _aCOM
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_2bisacsh
072 7 _aPBT
_2bicscc
100 1 _aGrant, Robert ,
_eauthor.
245 1 0 _aData Visualization :
_bCharts, Maps, and Interactive Graphics /
_cby Robert Grant.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bChapman and Hall/CRC,
_c2018.
300 _a1 online resource (248 pages) :
_b253 illustrations, text file, PDF.
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
490 1 _aASA-CRC Series on Statistical Reasoning in Science and Society
504 _aIncludes bibliographical references and index.
505 0 0 _tWhy visualise? -- Translating numbers to images -- Continuous and discrete numbers -- Percentages and risks -- Showing data or statistics -- Differences, ratios, correlations -- Visual perception and the brain -- Showing uncertainty -- Time trends -- Statistical predictive models -- Machine learning techniques -- Many variables -- Maps and networks -- Interactivity -- Big data -- Visualisation as part of a bigger package -- Some overarching ideas.
520 3 _aThis is the age of data. There are more innovations and more opportunities for interesting work with data than ever before, but there is also an overwhelming amount of quantitative information being published every day. Data visualisation has become big business, because communication is the difference between success and failure, no matter how clever the analysis may have been. The ability to visualize data is now a skill in demand across business, government, NGOs and academia. Data Visualization: Charts, Maps, and Interactive Graphics gives an overview of a wide range of techniques and challenges, while staying accessible to anyone interested in working with and understanding data. Features: Focusses on concepts and ways of thinking about data rather than algebra or computer code. Features 17 short chapters that can be read in one sitting. Includes chapters on big data, statistical and machine learning models, visual perception, high-dimensional data, and maps and geographic data. Contains more than 125 visualizations, most created by the author. Supported by a website with all code for creating the visualizations, further reading, datasets and practical advice on crafting the images. Whether you are a student considering a career in data science, an analyst who wants to learn more about visualization, or the manager of a team working with data, this book will introduce you to a broad range of data visualization methods. Cover image: Landscape of Change uses data about sea level rise, glacier volume decline, increasing global temperatures, and the increasing use of fossil fuels. These data lines compose a landscape shaped by the changing climate, a world in which we are now living. Copyright © Jill Pelto (jillpelto.com).
530 _aAlso available in print format.
650 7 _aCOMPUTERS / Computer Graphics.
_2bisacsh
650 7 _agraphics.
_2bisacsh
650 7 _amachine learning.
_2bisacsh
650 7 _amaps.
_2bisacsh
650 7 _anetworks.
_2bisacsh
650 7 _astatistics.
_2bisacsh
650 7 _auncertainty.
_2bisacsh
650 0 _aInformation visualization.
655 0 _aElectronic books.
710 2 _aTaylor and Francis.
776 0 8 _iPrint version:
_z9781138553590
830 0 _aASA-CRC Series on Statistical Reasoning in Science and Society.
856 4 0 _uhttps://www.taylorfrancis.com/books/9781315201351
_zClick here to view
942 _2lcc
_cEBK
999 _c19040
_d19040