Daniel M. Russell
ABSTRACT
While modern information visualization (IV) has been around for several decades, the inventions of IV seem to be peripheral to the everyday work in companies that would seem to be the most likely to use these inventions. In this case study, Google uses very few IV tools, relying mostly on more traditional ways of looking at data and data relationships. What has brought about this state of affairs? An analysis shows that the basic causes of low adoption are (a) difficulty of data wrangling and sharing the work products of analysis, (b) the need to share a common visual language literacy across different parts of the organization, (c) problems in using IV tools to communicate and present complex data analyses. At the same time, IV technology is found to be more useful in the investigation phase of research, rather than for communication and presentation reasons.
- Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., & Ghemawat, S. (2016). TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. arXiv preprint arXiv:1603.04467.Google Scholar
- Cooley, R., Mobasher, B., & Srivastava, J. (1999). Data preparation for mining world wide web browsing patterns. Knowledge and information systems, 1(1), 5--32.Google Scholar
- Corbett, J. C., Dean, J., Epstein, M., Fikes, A., Frost, C., Furman, J. J., & Hsieh, W. (2013). Spanner: Google's globally distributed database. ACM Transactions on Computer Systems (TOCS), 31(3), 8. Google ScholarDigital Library
- D3. https://github.com/mbostock/d3/wiki Last access on May 1, 2016.Google Scholar
- Dean, J., & Ghemawat, S. (2008). MapReduce: simplified data processing on large clusters. Communications of the ACM, 51(1), 107--113. Google ScholarDigital Library
- Gesmann, M., & de Castillo, D. (2011). Using the Google visualisation API with R. The R Journal, 3(2), 40--44.Google ScholarCross Ref
- Ghemawat, S., Gobioff, H., & Leung, S. T. (2003, October). The Google file system. In ACM SIGOPS operating systems review (Vol. 37, No. 5, pp. 29--43). ACM. Google ScholarDigital Library
- GPDE. Google Public Data Explorer. https://www.google.com/publicdata/directory (last accessed: May 1, 2016) For the interactive Bubble Chart of, see: https://goo.gl/K4fvSwGoogle Scholar
- GViz. Google Visualization Toolkit API (2015) https://developers.google.com/chart/interactive/docs/reference#constructor_1 Last accessed on May 1, 2016.Google Scholar
- Hernández, M. A., & Stolfo, S. J. (1998). Real-world data is dirty: Data cleansing and the merge/purge problem. Data mining and knowledge discovery, 2(1), 9--37. Google ScholarDigital Library
- Lam, H. (2007) Visualization of large data sets to support exploratory data analysis. Ph.D Thesis, Univ. of British Columbia, Canada.Google Scholar
- Lam, H., Russell, D., Tang, D., & Munzner, T. (2007). Session viewer: Visual exploratory analysis of web session logs. In Visual Analytics Science and Technology, 2007. VAST 2007. IEEE Symposium on (pp. 147--154). IEEE. Google ScholarDigital Library
- Lam, H., Bertini, E., Isenberg, P., Plaisant, C., & Carpendale, S. (2012). Empirical studies in information visualization: Seven scenarios. Visualization and Computer Graphics, IEEE Transactions on, 18(9), 1520--1536 Google ScholarDigital Library
- Mackay, Wendy E. "Triggers and barriers to customizing software." (1991) Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM. Google ScholarDigital Library
- Melnik, S., Gubarev, A., Long, J. J., Romer, G., Shivakumar, S., Tolton, M., & Vassilakis, T. (2010). Dremel: interactive analysis of web-scale datasets. Proceedings of the VLDB Endowment, 3(1-2), 330--339.Tavel, P. 2007. Modeling and Simulation Design. AK Peters Ltd., Natick, MA. Google ScholarDigital Library
- North, C., Saraiya, P., & Duca, K. (2011). A comparison of benchmark task and insight evaluation methods for information visualization. Information Visualization, 1473871611415989. Google ScholarDigital Library
- Periodic Table of Visualizations. http://www.visual-literacy.org/periodic_table/periodic_table.html Last accessed on May 1, 2016.Google Scholar
- Pirolli, P., & Card, S. (2005, May). The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis. In Proceedings of international conference on intelligence analysis (Vol. 5, pp. 2--4).Google Scholar
- Plaisant, Catherine. "The challenge of information visualization evaluation." Proceedings of the working conference on Advanced visual interfaces. ACM, 2004. Google ScholarDigital Library
- Rodden, K. (2014). Applying a Sunburst Visualization to Summarize User Navigation Sequences. Computer Graphics and Applications, IEEE, 34(5), 36--40.Google Scholar
- Russell, D. M., Stefik, M. J., Pirolli, P., & Card, S. K. (1993, May). The cost structure of sensemaking. In Proceedings of the INTERACT'93 and CHI'93 conference on Human factors in computing systems (pp. 269--276). ACM. Google ScholarDigital Library
- Viégas, Fernanda, Martin Wattenberg, Jack Hebert, Geoffrey Borggaard, Alison Cichowlas, Jonathan Feinberg, Jon Orwant, and Christopher Wren. "Google+ ripples: A native visualization of information flow." In Proceedings of the 22nd international conference on World Wide Web, pp. 1389--1398. International World Wide Web Conferences Steering Committee, 2013. Google ScholarDigital Library
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