Off the Radar: Comparative Evaluation of Radial Visualization Solutions for Composite Indicators

A composite indicator (CI) is a measuring and benchmark tool used to capture multi-dimensional concepts, such as Information and Communication Technology (ICT) usage. Individual indicators are selected and combined to reflect a phenomena being measured. Visualization of a composite indicator is recommended as a tool to enable interested stakeholders, as well as the public audience, to better understand the indicator components and evolution overtime. However, existing CI visualizations introduce a variety of solutions and there is a lack in CI's visualization guidelines. Radial visualizations are popular among these solutions because of CI's inherent multi-dimensionality. Although in dispute, Radar-charts are often used for CI presentation. However, no empirical evidence on Radar's effectiveness and efficiency for common CI tasks is available. In this paper, we aim to fill this gap by reporting on a controlled experiment that compares the Radar chart technique with two other radial visualization methods: Flowercharts as used in the well-known OECD Betterlife index, and Circle-charts which could be adopted for this purpose. Examples of these charts in the current context are shown in Figure 1. We evaluated these charts, showing the same data with each of the mentioned techniques applying small multiple views for different dimensions of the data. We compared users' performance and preference empirically under a formal task-taxonomy. Results indicate that the Radar chart was the least effective and least liked, while performance of the two other options were mixed and dependent on the task. Results also showed strong preference of participants toward the Flower chart. Summarizing our results, we provide specific design guidelines for composite indicator visualization.

[1]  S. Dutta,et al.  The global information technology report 2010-2011 , 2011 .

[2]  William Thomson,et al.  Popular Lectures and Addresses: ELECTRICAL UNITS OF MEASUREMENT , 2011 .

[3]  Richard F. Riesenfeld,et al.  A Survey of Radial Methods for Information Visualization , 2009, IEEE Transactions on Visualization and Computer Graphics.

[4]  Roger D Feldman Filled Radar Charts Should not be Used to Compare Social Indicators , 2013 .

[5]  John T. Stasko,et al.  Effectiveness of Animation in Trend Visualization , 2008, IEEE Transactions on Visualization and Computer Graphics.

[6]  Website Oecd,et al.  OECD Better Life Index , 2015 .

[7]  S. Tarantola,et al.  State-of-the-art Report on Current Methodologies and Practices for Composite Indicator Development , 2002 .

[8]  Åke Grönlund,et al.  Introducing e-Gov: History, Definitions, and Issues , 2005, Commun. Assoc. Inf. Syst..

[9]  Gennady L. Andrienko,et al.  Exploratory analysis of spatial and temporal data - a systematic approach , 2005 .

[10]  Union européenne,et al.  Handbook on Constructing Composite Indicators: Methodology and User Guide , 2008 .

[11]  Daniel A. Keim,et al.  CircleView: a new approach for visualizing time-related multidimensional data sets , 2004, AVI.

[12]  Massimo Stafoggia,et al.  Spie charts, target plots, and radar plots for displaying comparative outcomes of health care. , 2011, Journal of clinical epidemiology.

[13]  G. Sciadas International Benchmarking for the Information Society , 2004 .

[14]  Cynthia A. Brewer,et al.  ColorBrewer.org: An Online Tool for Selecting Colour Schemes for Maps , 2003 .

[15]  Natasha M. Maurits,et al.  Design and Evaluation of Tiled Parallel Coordinate Visualization of Multichannel EEG Data , 2007, IEEE Transactions on Visualization and Computer Graphics.

[16]  Marijn Janssen,et al.  Measurement and benchmarking foundations: Providing support to organizations in their development and growth using dashboards , 2013, Gov. Inf. Q..

[17]  Michael Burch,et al.  Uncovering Strengths and Weaknesses of Radial Visualizations---an Empirical Approach , 2010, IEEE Transactions on Visualization and Computer Graphics.

[18]  A. Mayer,et al.  Benchmarking national labour market performance: a radar chart approach , 1999 .

[19]  Upkar Varshney,et al.  Communications of the Association for Information Systems , 2000 .

[20]  Michael D. Lee,et al.  An Empirical Evaluation of Chernoff Faces, Star Glyphs, and Spatial Visualisations for Binary Data , 2003, InVis.au.

[21]  Ho Geun Lee,et al.  Editorial Comment: The Dichotomy of Critical Success Factors for IT Services , 2014 .

[22]  Matthew O. Ward,et al.  Interactive data visualization , 2010 .

[23]  Matthew O. Ward,et al.  Interactive Data Visualization - Foundations, Techniques, and Applications , 2010 .

[24]  Edward R. Tufte,et al.  The Visual Display of Quantitative Information , 1986 .

[25]  Electrical Units of Measurement , 1883, Nature.

[26]  Karine Barzilai-Nahon and Sheizaf Rafaeli and Niv Ahituv Measuring Gaps in Cyberspace: Constructing a comprehensive digital divide index , 2004 .

[27]  Min Chen,et al.  Glyph-based Visualization: Foundations, Design Guidelines, Techniques and Applications , 2013, Eurographics.

[28]  Jérôme Cukier Can data visualization help build democracy? , 2011, XRDS.

[29]  Jonathan Reades,et al.  The Global Information Technology Report 2012 , 2012 .

[30]  Stefano Tarantola,et al.  Handbook on Constructing Composite Indicators: Methodology and User Guide , 2005 .

[31]  Edward Rolf Tufte,et al.  The visual display of quantitative information , 1985 .