Data Type: Difference between revisions

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The '''data type''' of a parameter describes the kind of scale within which the values of a parameter might be given in.
There are several uses of '''data type''' depending on the context. The following list is not to be seen comprehensive.
 
*'''[[nominal]]:''' Unordered set (only = or != relations) <br>Example: film titles.
*'''[[ordinal]]:''' Ordered set (=, !=, <, and > relations)<br>Example: film ratings.
*'''[[discrete]]:''' Numeric range (Integer, arithmetic possible) <br>Example:film year.
*'''[[continuous]]:''' Numeric range (Real/float numbers, arithmetic possible)<br>Example: film length.
*'''binary:''' true or false (Boolean arithmetic)<br>Example: film available.
 
Note: Other often used terms in relation to data types are ''qualitative'', ''[[quantitative]]'', and
''categorical''. Whereas ''qualitative'' subsumes ''[[nominal]]'' and ''[[ordinal]]'', ''[[quantitative]]'' subsumes
''discrete'' and ''continuous'', and ''categorical'' might be ''[[nominal]]'', ''[[ordinal]]'', or ''discrete'' data.  


*'''Synonym for [[Data Scale]]'''<br>Example: [[Spence, R.: Information Visualization - Design for Interaction (2nd Edition), Pearson Education, 2006]]


[[Category:Glossary]]
[[Category:Glossary]]

Latest revision as of 13:40, 25 May 2007

There are several uses of data type depending on the context. The following list is not to be seen comprehensive.