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Everything about Data Analysis Expressions

Formula and data query language

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. It is, in part, an evolution of the Multidimensional Expression (MDX) language developed by Microsoft for Analysis Services multidimensional models combined with Excel formula functions. It is designed to be simple and easy to learn, while exposing the power and flexibility of PowerPivot and SSAS tabular models. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Data Analysis ExpressionsA 5-minute orientation
  2. Skim a recent paper: Correlation analysis between EEG data and facial expressions and sleep behaviorsInfluential work since 2022
  3. Pick up a classic book: Statistical Analysis of Gene Expression Microarray DataThe most-reprinted book on the subject
  4. Read the landmark paper: Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT MethodCited 168,111 times
  5. Go sideways: Power PivotA closely related topic
  6. Go sideways: Microsoft Analysis ServicesA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Background
  2. History
  3. DAX data types

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics