The study by Josko and Ferreira (2017), explained a use for Data Visualization(DV) in quality assessment paradigms which they call a “Data Quality Assessment process (DQAp):
- They highlight that the problem with using DV in this manner is not in the value of what it can provide visually, but the complexity and knowledge required.
- They indicate the need for DV tools to be contextually aware of what is considered “Quality” vs “Defect” therefore requiring such methods to be constructed based on specific requirements which will not be possible for all sources of data.
What is your thought regarding the use of Data Visualization tools as a DQAp? Let's discuss!!
Ikhlas Almukahel ,
Thank you for your detailed answer. May I assume that you agree but there need to be more things for data quality assessment?
The main issues of quality assessment tool that is impossible to confirm and anlytical or even define the data value based only on data, it need more information such hidden data and relation among data this must involves human supervision and data visulaization help and simplfy this process by produce a nderstand meaning such as pattren, matrix, rule, and corelated.
Ikhlas Almukahel ,
Thank you for your detailed answer. May I assume that you agree but there need to be more things for data quality assessment?
I agreed, figure below can explain my point of view.
Figure Soures: Article The classification filter techniques by field of application...
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