Treemap as a type of data visualization in the media

Authors

DOI:

https://doi.org/10.28925/2311-259x.2022.3.8

Keywords:

data journalism, data visualization, visual communication, treemap, digital media

Abstract

The relevance of the study was determined by a tendency to diversify the graphic forms of data presentation, with new complex data visualizations being used more and more often alongside the usual sector or column charts in journalistic articles. In this regard, issues related to the study of the functional and perceptual characteristics of various types of diagrams are becoming actualized in the theoretical plane of social communications. The article outlines the specifics of displaying hierarchical structures using treemaps (tree maps, hierarchical maps) taking into account the features of media content. The purpose of the research is to identify and characterize the peculiarities of treemaps as a type of visual representation of hierarchical data in online media publications. The primary research method was quantitative content analysis. Selective statistical observation was used to collect empirical data. The study sample is 85 treemaps published in The New York Times, The Washington Post, Visual Capitalist, VC Elements, BBC, Financial Times, and The Wall Street Journal during 2018–2022. Historical and comparative-descriptive methods were additional research methods. The article examines four types of treemaps: Rectangular Treemap, Circular Treemap, Voronoi Treemap, and Sunburst. We found out that rectangular treemaps are most often used in the media because they are compact and effectively demonstrate the parts of a whole. Voronoi treemaps are also often used. The article also outlines the thematic spectrum of treemaps in the media. Quantitative analysis showed that treemaps are used in media to highlight financial, economic, industrial, and energy-related topics, much fewer visualizations of this type are related to politics, society, and ecology. In addition, the functional advantages and disadvantages of treemaps are summarized, and a list of basic visualization principles is formed, the observance of which will contribute to increasing the effectiveness of communication and simplifying the process of interpreting a visual message by the recipient.

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References

Babkov, S., & Serik, M. (2011). Metody vizualizatsii danykh skladnoi struktury na osnovi derevopodibnykh kart [Methods of data Visualization of Complex Structures Based on Tree Maps]. Scientific works of DonNTU. Series “Informatics, Cybernetics and Computer Engineering”, 14(188), 163–170. http://ea.donntu.edu.ua/bitstream/123456789/9956/1/3_01.pdf

Berinato, S. (2022). Khoroshi diahramy. Porady, instrumenty ta vpravy dlia krashchoi vizualizatsii danykh [Good Charts Workbook. Tips, Tools, and Exercises for Making Better Data Visualizatoons]. ArtHuss.

Bruls, M., Huizing, K., & van Wijk, J. J. (2000). Squarified Treemaps. Data Visualization 2000. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6783-0_4

Diadychev, V., & Safronov, K. (2011). Metody vizualizatsii informatsiinykh struktur [Methods of Visualization of Information Structures]. Scientific news of Dahl University, 4, 24–31. http://nvdu.snu.edu.ua/wp-content/uploads/2020/03/2011_4_14.pdf

Lima, M. (2014). The Book of Trees: Visualizing Branches of Knowledge. Princeton Architectural Press.

Macquisten, A., Smith, A. M., & Fernstad, S. J. (2022). Hierarchical Visualization for Exploration of Large and Small Hierarchies. Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery. Studies in Computational Intelligence, 1014. https://doi.org/10.1007/978-3-030-93119-3_23

Mahipal, J., & Shah, K. (2015). Tree-map: A visualization tool for large data. CEUR Workshop Proceedings, 1393, 9–13.

Scheibel, W., Trapp, M., Limberger, D., & Döllner, J. (2020). A Taxonomy of Treemap Visualization Techniques. 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Valetta, Malta. https://doi.org/10.5220/0009153902730280

Schulz, H.-J., Hadlak, S., & Schumann, H. (2011). The Design Space of Implicit Hierarchy Visualization: A Survey, IEEE Transactions on Visualization and Computer Graphics, 17(4), 393–411. https://doi.org/10.1109/TVCG.2010.79

Shneiderman, B., & Plaisant, C. (2014). Treemaps for space-constrained visualization of hierarchies. Including the History of Treemap Research at the University of Maryland. http://www.cs.umd.edu/hcil/treemap-history/index.shtml

Syniepupova, N. (2019). Kompozytsiia: totalnyi control [Composition: Total Control]. ArtHuss.

Tu, Y., & Shen, H.-W. (2007). Visualizing Changes of Hierarchical Data using Treemaps. IEEE Transactions on Visualization and Computer Graphics, 13(6), 1286–1293. https://doi.org/10.1109/TVCG.2007.70529

Van Wijk, J. J., & Van de Wetering, H. (1999). Cushion treemaps: visualization of hierarchical information. IEEE Symposium on Information Visualization (InfoVis’99), 73–78. https://doi.org/10.1109/INFVIS.1999.801860

Venditti, B. (2021). The World’s Top 10 Gold Mining Companies. VC Elements. https://elements.visualcapitalist.com/the-worlds-top-10-gold-mining-companies

Venditti, B. (2021). Visualizing China’s Evolving Energy Mix. VC Elements. https://elements.visualcapitalist.com/visualizing-chinas-energy-transition

Vliegen, R., Van Wijk, J. J., & Van der Linden, E.-J. (2006). Visualizing Business Data with Generalized Treemaps. IEEE Transactions on Visualization and Computer Graphics, 12(5), 789-796. https://doi.org/10.1109/TVCG.2006.200

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Published

31.10.2022

How to Cite

Lichenko, A. (2022). Treemap as a type of data visualization in the media. Synopsis: Text, Context, Media, 28(3), 156–163. https://doi.org/10.28925/2311-259x.2022.3.8

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Section

Media and virtual reality