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# The result is readable.
Readability means that it is possible for a viewer to understand the underlying data, such as by making comparisons between proportionally sized visual elements to compare their respective data values; or using a legend to decode a map, like identifying coloured regions on a climate map to read temperature at that ___location. For greatest efficiency and simplicity of design and user experience, this readability is enhanced through the use of bijective mapping in that design of the image elements - where the mapping of representational element to data variable is unique.<ref name=StudiesComputIntell_2009>{{cite journal |last1=Ziemkiewicz |first1=C. |last2=Kosara |first2=R. |title=Embedding Information Visualization within Visual Representation (chapter in Advances in Information and Intelligent Systems) |journal=Studies in Computational Intelligence |date=2009 |volume=251 |pages=307-326 |doi=10.1007/978-3-642-04141-9_15 |publisher=Springer |___location=Berlin,
Kosara (2007)<ref name=IEEExplore_2007/> also identifies the need for a visualisation to be "recognisable as a visualisation and not appear to be something else". He also states that recognisability and readability may not always be required in all types of visualisation e.g. "informative art" (which would still meet all three above criteria but might not look like a visualisation) or "artistic visualisation" (which similarly is still based on non-visual data to create an image, but may not be readable or recognisable).
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