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Unwin, Antony, Martin Theus, Heike Hofmann. 2006. Graphics of Large Datasets: Visualizing a Million.

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UNWIN, ANTONY, MARTIN THEUS, HEIKE HOFMANN. 2006. Graphics of Large Datasets: Visualizing a Million. Springer, New York. 271 pp. $84.95.

Large data sets have become commonplace. Consequently, effectively tackling issues that arise because of the immensity of these data sets is a significant challenge in statistics and computing. Graphics of Large Datasets: Visualizing a Million, which Unwin, Theus, and Hofmann edited, is concerned with data visualization--an effective approach to analysis of large data sets. Because of its intuitive appeal, visualization has become an important approach for undertaking both exploratory analysis and interpretation of detailed analysis of data sets. Researchers from diverse disciplines including statistics, data mining, machine learning, operations research, and others are showing interest. This has led to differences of opinions on the connotation and the subject matter of data visualization. However, at a broad level, data visualization is a term that is used primarily to describe graphic representations of data and related issues. The authors say that data visualization is the best universal term because the overall aim is always to visualize the information in the data.

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