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==Terminology==
Data visualization involves specific terminology, some of which is derived from statistics. For example, author [[Stephen Few]] defines two types of data, which are used in combination to support a meaningful analysis or visualization:
*Categorical: Represent groups of objects with a particular characteristic. Categorical variables can either be nominal or ordinal. Nominal variables for example gender have no order between them and are thus nominal. Ordinal variables are categories with an order, for sample recording the age group someone falls into.<ref name=":1">{{Cite book|last=Bulmer|first=Michael|title=A Portable Introduction to Data Analysis|publisher=Publish on Demand Centre|year=2013|isbn=978-1-921723-10-0|___location=The University of Queensland|pages=4–5}}</ref>
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