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 14:40, 25 May 2007

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