Abstract
Working with data can be very abstract without a proper visualization. Yet, once the data is visualized, it presents a dead end, so the user has to return to the data level to make enrichments. With Vizgr (vizgr.org), we offer an elegant simplification to this workflow by giving the opportunity to enrich the data in the visualization itself. Data, e.g. statistical data, data entered by the user, from DBpedia or other data sources, can be visualized by graphs, tag clouds, on maps and in timelines. The data points can be connected with each other, with data in other visualizations and any web address, regardless of the source. It allows users to make data presentations without changing to the data level, once the data is in the system. In an evaluation, we found that over 85% of the participants were able to use and understand this technology without any training or explicit instructions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Viegas, F.B., Wattenberg, M., van Ham, F., Kriss, J., McKeon, M.: ManyEyes: a Site for Visualization at Internet Scale. IEEE Trans. Visual. Comput. Graphics 13, 1121–1128 (2007)
Data360, http://www.data360.org/index.aspx
Socrata, http://www.socrata.com/
Heer, J., Viégas, F.B., Wattenberg, M., Agrawala, M.: Point, Talk, and Publish: Visualisation and the Web. In: Jain, L., Wu, X., Liere, R., Adriaansen, T., Zudilova-Seinstra, E. (eds.) Trends in Interactive Visualization, pp. 1–15. Springer, London (2009)
Fekete, J.: The InfoVis Toolkit. In: Proceedings of the IEEE Symposium on Information Visualization, pp. 167–174. IEEE Computer Society, Washington, DC (2004)
Heer, J.: Prefuse: a Toolkit for Interactive Information Visualization. In: CHI 2005: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 421–430. ACM Press (2005)
Flare, http://flare.prefuse.org/
Processing, http://processing.org/
Bostock, M., Heer, J.: Protovis: A Graphical Toolkit for Visualization. IEEE Trans. Visualization & Comp. Graphics (Proc. InfoVis) (2009)
Google Chart Tools, http://code.google.com/apis/chart/
Dork, M., Carpendale, S., Collins, C., Williamson, C.: VisGets: Coordinated Visualizations for Web-based Information Exploration and Discovery. IEEE Trans. Visual. Comput. Graphics 14, 1205–1212 (2008)
Mackinlay, J., Hanrahan, P., Stolte, C.: Show Me: Automatic Presentation for Visual Analysis. IEEE Transactions on Visualization and Computer Graphics 13, 1137–1144 (2007)
Ahlberg, C.: Spotfire: an information exploration environment. SIGMOD Rec. 25, 25–29 (1996)
McKeon, M.: Harnessing the Information Ecosystem with Wiki-based Visualization Dashboards. IEEE Trans. Visual. Comput. Graphics 15, 1081–1088 (2009)
Huynh, D.F., Karger, D.R., Miller, R.C.: Exhibit. In: Proceedings of the 16th International Conference on World Wide Web - WWW 2007, Banff, Alberta, Canada, p. 737 (2007)
Wang Baldonado, M.Q., Woodruff, A., Kuchinsky, A.: Guidelines for using multiple views in information visualization. In: Proceedings of the Working Conference on Advanced Visual Interfaces - AVI 2000, Palermo, Italy, pp. 110–119 (2000)
North, C., Shneiderman, B.: Snap-together visualization: a user interface for coordinating visualizations via relational schemata. In: Proceedings of the Working Conference on Advanced Visual Interfaces, pp. 128–135. ACM, New York (2000)
North, C., Conklin, N., Indukuri, K., Saini, V.: Visualization schemas and a web-based architecture for custom multiple-view visualization of multiple-table databases. Inf. Vis. 1, 211–228 (2002)
Weaver, C.: Building Highly-Coordinated Visualizations in Improvise. In: Proceedings of the IEEE Symposium on Information Visualization, pp. 159–166. IEEE Computer Society, Washington, DC (2004)
Collins, C., Carpendale, S.: VisLink: Revealing Relationships Amongst Visualizations. IEEE Trans. Visual. Comput. Graphics 13, 1192–1199 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hienert, D., Zapilko, B., Schaer, P., Mathiak, B. (2012). Vizgr: Linking Data in Visualizations. In: Filipe, J., Cordeiro, J. (eds) Web Information Systems and Technologies. WEBIST 2011. Lecture Notes in Business Information Processing, vol 101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28082-5_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-28082-5_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28081-8
Online ISBN: 978-3-642-28082-5
eBook Packages: Computer ScienceComputer Science (R0)