孙兴华：powerbi之dax神功：第1卷第14回 同一表上的多层嵌套上下文earlier当前行与var变量. 第1卷第15回 在筛选上下文中使用distinct和summarize. 孙兴华：powerbi之dax神功：第1卷第15回 在筛选上下文中使用distinct和summarize. 第1卷第16回 创建筛选上下文与filter+all应用

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2024年10月15日 · dax公式包括函数、运算符和值，用于对表格数据模型中相关表和列中的数据执行高级计算和查询。 用在度量值、计算列、计算表和行级别安全性中 使用 。

Data Analysis Expressions (DAX) is a library of functions and operators that can be combined to build formulas and expressions in Power BI, Analysis Services, and Power Pivot in Excel data models. Functions

This learning path introduces Data Analysis Expressions (DAX) and provides you with foundational skills required to enhance semantic models with calculations. It starts by describing Power BI Desktop model structure and how it can be enhanced with DAX calculations.

在PowerBI中有三个地方可以写DAX公式：度量值、列、表。 这三者理想的使用频率是由大到小，度量值>列>表。 很多人刚开始学习PowerBI时，喜欢使用计算列，然而这意味着你并没有体验到PowerBI的精华。 计算列不是什么新知识，就好像在Excel中使用Vlookup添加一列一样，这一列是基于现有的表基础上做运算，它是“静态”的，运算结果不会因为切片器或透视筛选而变化，当你建立好后，它就会保存在文件中，增加你的内存，影响你的文件运转速度。 而度量值是什么？ …

2023年10月20日 · Data Analysis Expressions (DAX) is a formula expression language used in Analysis Services, Power BI, and Power Pivot in Excel. DAX formulas include functions, operators, and values to perform advanced calculations and queries on data in related tables and columns in tabular data models.

DAX is the query language that powers Microsoft products such as Power BI, Analysis Services, and Power Pivot for Excel. Browse the full language reference on DAX Guide.

Empower your team with advanced DAX skills through real-world practice. Use our platform to upskill employees, assess candidates, and tailor learning paths to match your organization's data needs. Learn more

PyDAX is a package designed to analyze DAX expressions. It can extract comments, remove comments, and identify columns and measures referenced in DAX expressions. To install the package, use pip: Here's a how to use PyDAXLexer. This example shows how to create a DAXExpression object and extract information.