The independent fields that cannot be aggregated are considered as Dimensions and those fields that can be aggregated and are context-dependent are referred to as Measures.įor example, consider the Superstore dataset in which Region, Year are dimensions that provide context to add meaning to the Sales figure, which is a summarizable measure. It classifies the data into Dimensions and Measures. Working with TableauĪ brief description of key concepts to work is: 1. One of the most popular data visualization tools proved to be the best in visual-based data exploration. Support for semantic visualization to perform an automatic selection of suitable visualization primitives such as line charts, bar charts, scatter plots, Tree diagrams, etc., for nominal, ordinal, and numerical data. Integration of view manipulation features like slicing and dicing, roll up to the required level of detail, filtering the data to help in detailed explorative data analysis.ĥ.
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