However, because both design skills and statistical and computing skills are required to visualize effectively, it is argued by some authors that it is both an Art and a Science. ĭata visualization has its roots in the field of Statistics and is therefore generally considered a branch of Descriptive Statistics. Since the graphic design of the mapping can adversely affect the readability of a chart, mapping is a core competency of Data visualization. In this light, a bar chart is a mapping of the length of a bar to a magnitude of a variable. The mapping determines how the attributes of these elements vary according to the data. įrom an academic point of view, this representation can be considered as a mapping between the original data (usually numerical) and graphic elements (for example, lines or points in a chart). It is a particularly efficient way of communicating when the data is numerous as for example a time series. ( Discuss) Proposed since February 2021.ĭata visualization (often abbreviated data viz ) is an interdisciplinary field that deals with the graphic representation of data. It has been suggested that this article be merged with Information visualization to Data and information visualization.
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