It is a great time to be a data analyst. The variety and quantity of data, in digitized forms, are increasing. The growth of computer networking and the corresponding use of the network via the World Wide Web have provided, in the form of text, a large dynamic information store. There is wide access to more financial data than can typically be understood. Digital imagery is on the rise; an explosion in the amount of digital video is forthcoming. And, information from scientific instruments is provided across a network with increasing frequency. However, data analysis tools and the corresponding theory are not keeping pace with this scale and diversity of data.
Revised: July 13, 2011 |
Published: December 1, 2003
Citation
Whitney P.D., D. Cox, D.S. Daly, H.P. Foote, D.L. McQuerry, and J.M. Sloughter. 2003.Toward the Routine Analysis of Diverse Data Types.Journal of Computational and Graphical Statistics 12, no. 4:915-926.PNNL-SA-38771.