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Can somebody tell the differences between quantitative and qualitative characteristics of a dataset?

After reading multiple articles on the subject, with different explanations, I am a bit confused.

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  • $\begingroup$ Qualitative refers to reliability, accuracy and data quality. Quantitative represents the amount of data. $\endgroup$ – nagib Mar 10 at 15:57
  • $\begingroup$ I need to understand what you mean by data set? Is this a geodatabase? Is it a file dataset, for example in * .shp format? Or is this the data about the objects that I suggested in my answer? $\endgroup$ – Cyril Mar 10 at 17:50
  • $\begingroup$ Do you mean a data set in vector or raster form? $\endgroup$ – Cyril Mar 10 at 18:28
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The qualitative and quantitative characteristics of a data set determine the properties and indicators of the data.

For example, the object of the map 'Bridge' has quantitative characteristics: Length - '150 m', Width - '20 m', Height above water level - '10 m', and the quality characteristics of the building material - 'reinforced concrete' and etc. as a result, the quantitative characteristics are properties of an object expressed in numerical values, and qualitative characteristics are properties of an object expressed in text form ...

If we are talking about a data set, then I can assume that the quantitative characteristics are measured in bytes, for example, the data volume is 12 MB, and the qualitative characteristics of the data set can be the following - full data, or not full data, accurate or rough, reliable or unreliable etc.

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  • $\begingroup$ Thank you very much, that is a clear explanation. $\endgroup$ – user138444 Mar 10 at 18:34

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