Does anyone know of good texts/books/examples discussing uncertainty in qualitative data visualizations (e.g. the graphical equivalent of significant figures or digits)? As a supervisor/reviewer I see many examples where students/authors present a graphical representation of their rather uncertain data, in the form of singular dots, straight sharp lines etc. There must be appropriate ways of visualizing this uncertainty. A reference to a guidebook or source book would be helpful.
When it comes to data visualisation, always look at Edward Tufte.
The visualisation of uncertainty depends greatly on what kind of data you are displaying, how it is displayed and what you are trying to convey by displaying it. I.e. is it a quantitative uncertainty (e.g. confidence interval), or that two categories are differ or do not differ significantly.
There is a fundamental problem with the"uncertainty" of qualitative data in contrast to measurement uncertainty; the problem was taken up by EU in the socalled MEQUALAN project, see e.g. Accred. Qual. Assur. 8 (2003) 68-77.
Qualitative "uncertainty" is best described by the risks of commtting errors of the 1st and 2nd kind.
Please check the paper on Wiley. Bartlett, J. W., & Frost, C. (2008). Reliability, repeatability and reproducibility: analysis of measurement errors in continuous variables. Ultrasound in Obstetrics & Gynecology, 31(4), 466-475. Hope is helps.
Also ASTM has a standard about uncertainty. Check it here: http://www.astm.org/SNEWS/MJ_2009/datapoints_mj09.html
Qualitative data are categorical data and therefore cannot be considered continuous variables!
Many of the references in the discussion refer only to quantitative data - that are usually continuous variables.
https://www.researchgate.net/publication/258835771_Decision_making_under_uncertainty_in_energy_systems_State_of_the_art
Article Decision making under uncertainty in energy systems: State of the art
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