![]() ![]() Groups and hierarchies can be created as needed, and calculations can be performed in the flow of analysis. Tableau can aggregate raw data to the desired level, rather than being restricted by the aggregations already present in the data. When data is structured for analysis, it's much easier to ask and answer questions. Stripped of extraneous information (anything that's not the data and its headers) Organized like a database table (rather than a column-oriented table such as a crosstab) Specifically, data that is:Īs granular as possible rather than aggregated (such as daily weather data rather than monthly averages) To take advantage of Tableau Desktop, Tableau recommends that you connect to data that is formatted for analysis.
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