Theoretical Reading- 'Information Visualization in Data Mining and Knowledge Discovery'

As I am creating a data visualization, I thought it would be good to read around the medium and refresh my memory about data visualizations and their purpose. Hence, I read a part of the book 'Information Visualization in Data Mining and Knowledge Discovery,' (2002) by edited by Fayyad, Wierse and Grinstein.

'Human beings look for structure, features, patterns, trends, anomalies and relationships in data. Visualization supports this by presenting the data in various forms with different interaction' (Grinstein and Ward 2002, p.21).

'A visualization can provide a qualitative overview of large and complex data sets, can summarize data and can assist in identifying regions of interest and appropriate parameters for mroe focused quantative analysis' (Grinstein and Ward 2002, p.21).

'In an ideal system, visualizations harnesses the perceptual capabilities of the human visual system' (Grinstein and Ward 2002, p.21).

The reading has aided my understanding of the purpose for data visualizations. My data visualization should combine interesting information in a clear, yet aesthetically pleasing way.



Bibliography

Grinstead, G., Ward, G. (2002) 'Introduction to Data Visualizations,' in Fayyad, U., Wierse, A., Grinstein, G. Information Visualization in Data Mining and Knowledge Discovery. Burlington: Morgan Kaufmann, pp. 21- 46.