Users may have particular analytical tasks, such as making comparisons or understanding causality, and the design principle of the graphic (i.e., showing comparisons or showing causality) follows the task.
It makes complex data more accessible, understandable and usable. Effective visualization helps users in analyzing and reasoning about data and evidence. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with visualization of the data.ĭata visualization involves the creation and study of the visual representation of data, or information that has been abstracted in some schematic form, including attributes or variables for the units of information.Ī primary goal of data visualization is to communicate information clearly and efficiently to users via the statistical graphics, plots, information graphics, tables, and charts selected. Visualizing data, describes efforts to help people understand the significance of data by placing it in a visual context.
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