1. bookVolume 5 (2019): Issue 2 (December 2019)
Journal Details
License
Format
Journal
eISSN
2450-7563
First Published
16 Apr 2015
Publication timeframe
2 times per year
Languages
English
access type Open Access

Displaying Labeled Quantitative Data

Published Online: 31 Dec 2019
Volume & Issue: Volume 5 (2019) - Issue 2 (December 2019)
Page range: 11 - 20
Journal Details
License
Format
Journal
eISSN
2450-7563
First Published
16 Apr 2015
Publication timeframe
2 times per year
Languages
English
Abstract

The information world is full of labeled quantitative data, in which a number of qualitative categories are to be compared based on a quantitative variable. Their graphical representations are various and serve different audiences and purposes. Based on a simple data set and its different visualizations, we will play with the data and their visual representation. We will use well-known charts, such as a regular table, a bar plot, and a word cloud; less-know, such as Cleveland’s dot plot, a fan plot, and a text-table; and new ones, constructed for the very aim of this essay, such as a labeled rectangle plot and a ruler-like graph. Our discussion will not aim to choose the best graph but rather to show the different faces of visualizing labeled quantitative data. I hope to convince the readers that it is always worth spending a minute on pondering how to present their data.

Keywords

BATEMAN, S., MANDRYK, R. L., GUTWIN, C., GENEST, A., MCDINE, D., & BROOKS, C. (2010), Useful junk?: the effects of visual embellishment on comprehension and memorability of charts. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, pp. 2573-2582.10.1145/1753326.1753716Search in Google Scholar

BORKIN, M. A., BYLINSKII, Z., KIM, N. W., BAINBRIDGE, C. M., YEH, C. S., BORKIN, D., PFISTER, H. OLIVA, A. (2015), Beyond memorability: Visualization recognition and recall. IEEE Transactions on Visualization and Computer Graphics, Vol. 22, No. 1, pp. 519-528.Search in Google Scholar

CLEVELAND W.S. (1994), The elements of graphing data, 2nd ed. Summit, NJ: Hobart, USA.Search in Google Scholar

FEW, S. (2006), Information dashboard design. The Effective Visual Communication of Data, Sebastopol: O’Reilly Media.Search in Google Scholar

HUFF D. (1954), How to lie with statistics, W. W. Norton & Company.Search in Google Scholar

JACOBY W. (2006), The dot plot: A graphical display for labeled quantitative values, The Political Methodologist Vol. 14, No. 1, pp. 6-14.Search in Google Scholar

KOZAK, M. (2009), Text-table: an undervalued and underused tool for communicating information. European Science Editing, Vol. 35, No. 4, pp. 103-105.Search in Google Scholar

KOZAK, M., HARTLEY, J., WNUK, A., TARTANUS, M. (2015), Multiple pie charts: Unreadable, inefficient, and over-used. Journal of Scholarly Publishing, Vol. 46, No. 3, pp. 282-289.10.3138/jsp.46.3.05Search in Google Scholar

KOZAK, M., KRZANOWSKI, W. J. (2010), Effective presentation of data. European Science Editing, Vol. 36, No. 2, pp. 41-42.Search in Google Scholar

LEMON, J. (2006), Plotrix: a package in the red light district of R. R-News, Vol. 6, No. 4, pp. 8-12.Search in Google Scholar

LEMON J., TYAGI A. (2009), The fan plot: A technique for displaying relative quantities and differences. Statistical Computing and Graphics Newsletter, Vol., 20, No. 1, pp. 8-10.Search in Google Scholar

R CORE TEAM (2019), R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.Search in Google Scholar

TUFTE, E.R. (1983), The Visual Display of Quantitative Information. (1st and 2nd eds.). Cheshire, CT: Graphics Press.10.1177/089443938500100208Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo