Hi,

In real working world, good data visualization is just what you need, where you need and when you need, in an easy to read manner. Live, clear and concise.

Hi,

       it all depends on audience requirements! but majorly, should be, clear, concise and interactive!

you are welcome if you will have any more query!

Regards

Muddsair

Hi,

See ISO 9241 (110-210). Practical example of evaluation techniques are available in CHI publications (http://www.sigchi.org/conferences).

François

Thank you all for your response.

I found this link very informative and thought of sharing.

http://en.wikipedia.org/wiki/Data_visualization

Source:http://en.wikipedia.org/wiki/Data_visualization

Characteristics of effective graphical displays

In his 1983 book The Visual Display of Quantitative Information, Edward Tufte defines 'graphical displays' and principles for effective graphical display in the following passage: "Excellence in statistical graphics consists of complex ideas communicated with clarity, precision and efficiency. Graphical displays should:

show the data

induce the viewer to think about the substance rather than about methodology, graphic design, the technology of graphic production or something else

avoid distorting what the data have to say

present many numbers in a small space

make large data sets coherent

encourage the eye to compare different pieces of data

reveal the data at several levels of detail, from a broad overview to the fine structure

serve a reasonably clear purpose: description, exploration, tabulation or decoration

be closely integrated with the statistical and verbal descriptions of a data set.

Can we use this as a checklist to evaluate the quality of information display for making decision in organisation?

Not everybody in organisation has a technical background of familiarity with graphical representations especially like stacked bars, complex charts etc. In such a scenario should not intuitiveness of display be one on the important criteria for assessing a display.

Please share your views.

Thanks and regards,

Rekha Mishra

Hi Rekha,

In a couple of recent publications, I analyzed some cases of data visualization applied to urban design, planning and management. 

The focus of the analysis was on how good the visualizations were as a tool to be used by urban designers and managers.

In the study we conducted a good number of usability tests, interviews and ethnographic observations.

Simeone, L. (2015). Missing intentionality: the limitations of social media analysis for participatory urban design, in Eric Gordon and Paul Mihailidis (Eds) Civic Media Project, Cambridge, MA, MIT Press, http://civicmediaproject.org/works/civic-media-project/missingintentionalityparticipatoryurbandesign

Ciuccarelli, P., Lupi, G., Simeone, L. (2014) Visualizing the Data City. Milan, Heidelberg, New York, Dordrecht, London, Springer

Perhaps they might be of some interest.

All the best,

Luca 

It depends on the data collection method. Some of the method provide better accuracy and vision whereas as others have less accuracy. It all depends on the focus of the researcher. 

Hello Rekha,

In my opinion there are several properties to have in mind when talking about data visualization charts quality:

- the profile of the user who will try to extract the information from the data. 

- the data itself

I recently was in the IVAPP 2015 conference. There, was assisted a very good presentation made by Michael Burch about the quality of diagrams, their aesthetics, its readability and usability and so on. The presentation was called "The Aesthetics of Diagrams". It was related with a paper he presented during the conference. He presented 3 papers during the conference and I don't really remember which one was related with this topic. You can see the 3 papers he presented, here, in this list and find some interesting things around this problem(s):

http://www.ivapp.visigrapp.org/Abstracts/2014/IVAPP_2014_Abstracts.htm

Best regards

Hello Everyone,

Please checkout this amazing video making use of effective data visualisation.

https://www.youtube.com/watch?v=hVimVzgtD6w

Thanks and regards,

Rekha Mishra