Displaying Labeled Quantitative Data

• Autorzy: Kozak Marcin
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

visualization; bar plot; labeled rectangle plot; ruler-like graph

• Wydawca: Wyższa Szkoła Informatyki i Zarządzania z siedzibą w Rzeszowie
• Czasopismo: Social Communication. Online Journal
• Rocznik: 2019
• Numer: 2(20)
• Strony: 11-20

Daty

wydano

2019

Twórcy

autor

Kozak Marcin

• Wyższa Szkoła Informatyki i Zarządzania z siedzibą w Rzeszowie

Bibliografia

• 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 SIGCHIConference on Human Factors in Computing Systems, ACM, pp. 2573-2582.
• 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.
• CLEVELAND W.S. (1994), The elements of graphing data, 2nd ed. Summit, NJ: Hobart, USA.
• FEW, S. (2006), Information dashboard design. The Effective Visual Communication of Data, Sebastopol: O’Reilly Media.
• HUFF D. (1954), How to lie with statistics, W. W. Norton & Company.
• JACOBY W. (2006), The dot plot: A graphical display for labeled quantitative values, The Political Methodologist Vol. 14, No. 1, pp. 6-14.
• KOZAK, M. (2009), Text-table: an undervalued and underused tool for communicating information.European Science Editing, Vol. 35, No. 4, pp. 103-105.
• 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.
• KOZAK, M., KRZANOWSKI, W. J. (2010), Effective presentation of data. European Science Editing, Vol. 36, No. 2, pp. 41-42.
• LEMON, J. (2006), Plotrix: a package in the red light district of R.R-News, Vol. 6, No. 4,pp. 8-12.
• 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.
• 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/.
• TUFTE, E.R. (1983), The Visual Display of Quantitative Information. (1st and 2nd eds.). Cheshire, CT: Graphics Press.

Identyfikatory

e-ISSN

2450-7563