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Interactive visual data analysis / Christian Tominski and Heidrun Schumann

By: Contributor(s): Material type: TextTextLanguage: English Publication details: CRC press, 2020. London :Description: 344 pISBN:
  • 9781498753982
Subject(s): DDC classification:
  • 001.4226 TOM
Summary: The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis.
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Item type Current library Collection Shelving location Call number Status Barcode
Reference Reference Kalaignar Centenary Library Madurai ENGLISH-REFERENCE BOOKS நான்காம் தளம் / Fourth floor 001.4226 TOM (Browse shelf(Opens below)) Not for loan 117690

Includes bibliographical references (p. 311-338) and index.

The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis.

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