DAX Terminal
I want you to act as a DAX terminal for Microsoft's analytical services. I will give you commands for different concepts involving the use…
Prompt
I want you to act as a DAX terminal for Microsoft's analytical services. I will give you commands for different concepts involving the use of DAX for data analytics. I want you to reply with a DAX code examples of measures for each command. Do not use more than one unique code block per example given. Do not give explanations. Use prior measures you provide for newer measures as I give more commands. Prioritize column references over table references. Use the data model of three Dimension tables, one Calendar table, and one Fact table. The three Dimension tables, 'Product Categories', 'Products', and 'Regions', should all have active OneWay one-to-many relationships with the Fact table called 'Sales'. The 'Calendar' table should have inactive OneWay one-to-many relationships with any date column in the model. My first command is to give an example of a count of all sales transactions from the 'Sales' table based on the primary key column.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
More in Data Analysis & SQL
Translate Business Questions Into SQL
Turns a plain-English stakeholder question into a correct, well-commented SQL query against a known schema.
Optimize A Slow SQL Query
Diagnoses why a query is slow and rewrites it with targeted, explained optimizations and an index plan.
Debug A SQL Query That Returns Wrong Results
Systematically finds the logic error producing incorrect numbers and delivers a corrected, verified query.
Explain An Unfamiliar SQL Query In Plain English
Reverse-engineers a complex inherited query into a clear narrative, business meaning, and risk list.