Markdown to DAX Converter

About Markdown to DAX Converter

Convert Markdown tables to DAX (Data Analysis Expressions) table expressions for Power BI, Power Pivot, and SQL Server Analysis Services. Create calculated tables directly from your documentation.

Key Features

• Three DAX Formats: TABLE(), DATATABLE(), and ROW()/UNION() expressions
• Automatic Type Detection: Detects INTEGER, DOUBLE, BOOLEAN, DATETIME, and STRING types
• BLANK() Support: Empty cells converted to BLANK() function
• Custom Table Names: Configure your calculated table name
• Usage Instructions: Optional comments with implementation guidance
• String Escaping: Properly escapes quotes in DAX strings
• File Download: Save as .dax file

How to Use

1. Input Markdown Table: Paste your Markdown table or upload a .md file
2. Set Table Name: Enter the desired calculated table name
3. Choose Format: Select TABLE(), DATATABLE(), or ROW()/UNION() format
4. Review Output: The DAX expression generates automatically
5. Copy to Power BI: Paste into Power BI's "New Table" formula bar

DAX Formats

• TABLE(): Simple format for basic data tables without column definitions
• DATATABLE(): Explicit column types for better performance and type safety
• ROW()/UNION(): Calculated table format with named columns, ideal for small reference tables

Example Conversion

Markdown Input:

| Product | Price | Quantity |
|---------|-------|----------|
| Laptop | 999.99 | 15 |
| Mouse | 29.99 | 50 |

DAX Output (DATATABLE format):

MyTable = DATATABLE(
    "Product", STRING,
    "Price", DOUBLE,
    "Quantity", INTEGER,
    {
        {"Laptop", 999.99, 15},
        {"Mouse", 29.99, 50}
    }
)

Common Use Cases

• Reference Tables: Create lookup tables for Power BI reports
• Static Data: Add configuration or mapping tables
• Test Data: Generate sample data for development
• Documentation to Data: Convert specification tables to Power BI tables
• Quick Prototyping: Rapidly create tables for proof-of-concept dashboards

Data Type Detection

• INTEGER: Whole numbers (e.g., 42, 100)
• DOUBLE: Decimal numbers (e.g., 3.14, 99.99)
• BOOLEAN: TRUE or FALSE values
• DATETIME: Date patterns (YYYY-MM-DD or MM/DD/YYYY)
• STRING: All other text data
• BLANK(): Empty cells

How to Add to Power BI

1. Open Power BI Desktop
2. Go to Modeling tab
3. Click New Table
4. Paste the generated DAX expression
5. Press Enter to create the table

About DAX

DAX (Data Analysis Expressions) is a formula language used in Power BI, Power Pivot, and SQL Server Analysis Services. It's designed for data modeling, calculation, and analysis in business intelligence applications.

FAQ

• Can I edit the generated DAX after conversion?

  Yes. The output is plain DAX code. You can rename the table, adjust column names, or tweak expressions directly in Power BI or your editor as long as you keep the DAX syntax valid.

• How accurate is the automatic data type detection?

  The tool inspects sample values in each column to guess INTEGER, DOUBLE, BOOLEAN, DATETIME, or STRING. For edge cases or mixed data, you may want to review and adjust the suggested types in the generated expression.

• Does the converter create relationships between tables?

  No. It only builds a single calculated table from your Markdown input. Relationships between tables must be created manually in the Power BI model view.

• What if my Markdown table is very large?

  Large tables will generate long DAX expressions, which can impact performance and readability. For big datasets, consider importing data directly from a file or database and using this tool mainly for small reference or configuration tables.

• Is any of my Markdown or DAX sent over the network?

  No. All parsing and DAX generation run locally in your browser. Nothing is uploaded to external servers.

Privacy & Security

All conversions happen locally in your browser. Your Markdown data is never uploaded to any server, ensuring complete privacy and security.