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The templates utilize any one of a set of map definitions. These are not forks but rather auxiliary pages and must have names following the pattern "Module:Location map/data/location" or "Template:Location map location", where location is the name of the area covered by the map. The template space is supported only for backward compatibility ...
The name to display in the map's documentation. The name is unlinked by default. If not specified, the actual name of the location map is used. examples: A section containing examples of the location map's usage. A {} template is automatically placed at the end of the examples. If not specified, no examples are output.
A data hub for discovering Power BI datasets within an organization's Power BI Service so that datasets may be reused from one central location. It offers details on the things as well as an access point for working with them, such as building reports on top of them, utilizing them with Excel's Analyze feature, accessing settings, controlling ...
A helper template for Template:Location map+. Creates a single place marker on a map. Template parameters [Edit template data] Parameter Description Type Status Map name 1 Must be the same as specified in the parent Location map +. For example, specifying England will use the values for England in Module:Location map/data/England if it exists, or {{Location map England}} otherwise. String ...
Whereas Excel does not import data from Power BI. Excel is typically used for less data and Power BI is more complex. Power BI can be used to display trends over time. For example, a company can create a time plot that shows its costs and revenues over a certain period. The data can then be arranged to show per day, month, quarter, year, etc.
Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.