Treemap as a type of data visualization in the media

Author:

Lichenko Anna1ORCID

Affiliation:

1. Taras Shevchenko National University of Kyiv

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.

Publisher

Borys Grinchenko Kyiv University

Subject

General Medicine

Reference16 articles.

1. 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

2. 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.

3. 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

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

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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3