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Table converters · CSV

CSV to DAX converter

Paste CSV and get a clean DAX output. Nothing leaves your browser.

Runs in your browser No signup Free forever
Convert
CSV

Switch the target to jump straight to any of the 28 CSV converters.

Input csv
Table 0 rows
Dimensions: 0 x 0
Output dax
Nothing is uploaded
Same source, other targets

Convert CSV to anything else

All table converters

How it works

Three steps, no account

1

Paste or drop your CSV

Comma-separated values with a header row works best. You can also upload a .csv file directly.

2

Review the table

Transpose it, delete blank rows, or remove duplicates before you generate output.

3

Pick a format and generate

Choose from 28 output formats, then copy the result or download it as a file.

FAQ

Common questions

Is my data uploaded anywhere?
No. Parsing, editing, and generating output all run in your browser using JavaScript — the CSV you paste or upload never touches a server.
How large a file can I convert?
There's no server-side limit because there's no server involved — your browser's own memory is the ceiling.
What happens if a row has the wrong number of columns?
The parser expects every row to have the same number of comma-separated values as the header row and flags "Invalid CSV format" if one doesn't — fix the mismatched row and it'll re-parse as you type.
Can I edit the data before converting?
Yes — the table below the input lets you transpose rows and columns, delete blank rows, or remove duplicate rows before you generate the final output.
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How to Convert CSV to DAX Online? (Conceptual - Requires Backend Implementation)

This document outlines the concept of a CSV to DAX converter. A fully functional online tool would require a significant backend implementation, including DAX query generation logic. This is beyond the scope of this Markdown file. However, we can describe the general functionality.

1. Upload or Paste Your CSV Data

Upload your CSV file or paste the CSV data into the provided input area. The converter will need to detect the delimiter and data types within the CSV.

2. Configure the DAX Query

This is the most critical aspect and would require careful design. The converter needs to understand how the CSV data should be mapped into DAX tables and measures. Consider these aspects:

  • Table Name: Specify the name of the DAX table to be created from the CSV data.
  • Column Data Types: The converter should automatically detect or allow the user to specify the data types of each column in the CSV (e.g., INTEGER, TEXT, DECIMAL, DATE).
  • Relationships (if applicable): If the CSV data is intended to be part of a larger model with other tables, options for specifying relationships would be crucial.
  • Measures (Optional): The user might want to define DAX measures based on the CSV data. The converter would likely need an interface to define these measures.
  • DAX Query Type: The output could be a simple CREATE TABLE statement, or a more complex query involving calculated columns, measures, and relationships.

3. Generate and Preview the DAX Code

The converter would generate the DAX code based on the user's configuration. A preview area would allow users to review the generated code before downloading or copying it.

4. Download or Copy the DAX Code

The generated DAX code can then be downloaded as a .dax file or copied directly into the Power BI Query Editor or similar DAX-enabled environment.

What is CSV?

CSV (Comma-Separated Values) is a simple file format used to store tabular data, such as a spreadsheet or database. Each line of the file is a data record, with each field separated by commas.

What is DAX?

DAX (Data Analysis Expressions) is a formula and query language used in Power BI and other data analysis tools. It's used to create calculated columns, measures, and other calculations within data models. A simple example:

Total Sales = SUM(Sales[SalesAmount])

This converter aims to simplify the process of creating DAX tables and potentially measures from CSV data. The complexities of handling different data types and relationships would necessitate a robust backend implementation.

Note: This is a conceptual outline. Building a fully functional online CSV to DAX converter requires substantial backend development work and careful consideration of DAX syntax and data modeling principles.