- Quick tour of the Power Query M formula language
To create an advanced query, you use the Power Query advanced editor A mashup query is composed of variables, expressions, and values encapsulated by a let expression A variable can contain spaces by using the # identifier with the name in quotes as in #"Variable name"
- What is Power Query? - Power Query | Microsoft Learn
The Power Query engine uses a scripting language behind the scenes for all Power Query transformations: the Power Query M formula language, also known as M The M language is the data transformation language of Power Query Anything that happens in the query is ultimately written in M
- Power Query M formula language introduction - PowerQuery M
Any such data mashup is expressed using the Power Query formula language (informally known as "M") Power Query embeds M documents in a wide range of Microsoft products, including Excel, Power BI, Analysis Services, and Dataverse, to enable repeatable mashup of data
- Use Python in Power BI Power Query Editor - Power BI
You can use Python, a programming language widely used by statisticians, data scientists, and data analysts, in the Power BI Desktop Power Query Editor
- Use R in Power Query Editor - Power BI | Microsoft Learn
The R language is a powerful programming language that many statisticians, data scientists, and data analysts use You can use R in Power BI Desktop's Power Query Editor to: Prepare data models Create reports
- Power Query M language specification - PowerQuery M
The specification describes the values, expressions, environments and variables, identifiers, and the evaluation model that form the Power Query M language's basic concepts The specification is contained in the following topics
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