國立虎尾科技大學 |

Data visualization = charts, maps and interactive graphics /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data visualization/ Robert Grant.
其他題名:	charts, maps and interactive graphics /
作者:	Grant, Robert,
出版者:	Boca Raton, FL :CRC Press, : c2019.,
面頁冊數:	1 online resource (248 p.) :ill., maps. :
附註:	"A Chapman & Hall book."
標題:	Information visualization. -
電子資源:	https://www.taylorfrancis.com/books/9781315201351
ISBN:	9781315201351

Data visualization = charts, maps and interactive graphics /
Grant, Robert,1974-

Data visualizationcharts, maps and interactive graphics /[electronic resource] :Robert Grant. - 1st ed. - Boca Raton, FL :CRC Press,c2019. - 1 online resource (248 p.) :ill., maps. - ASA-CRC series on statistical reasoning in science and society. - ASA-CRC series on statistical reasoning in science and society..

"A Chapman & Hall book."

Includes bibliographical references and index.

Why 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.

This 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.

ISBN: 9781315201351Subjects--Topical Terms:

579898
Information visualization.

LC Class. No.: QA76.9.I52 / G73 2019

Dewey Class. No.: 001.4/226

Data visualization = charts, maps and interactive graphics /
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505 0 0 $t Why 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 $a This 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.
588 $a Description based on print version record.
650 0 $a Information visualization. $3 579898
830 0 $a ASA-CRC series on statistical reasoning in science and society. $3 1342381
856 4 0 $u https://www.taylorfrancis.com/books/9781315201351