Getting Started With M Language in Power Query | Basic to Advanced

2 min read 3 months ago
Published on Jun 07, 2024 This response is partially generated with the help of AI. It may contain inaccuracies.

Table of Contents

Step-by-Step Tutorial: Getting Started With M Language in Power Query

Part 1: Understanding Syntactical Requirements and Writing M Code

  1. Understand the Structure of M Language in Power Query:

    • The M code in Power Query consists of steps that are variables.
    • Each step can hold different values like numbers, tables, functions, etc.
    • Steps should ideally not contain spaces, but if needed, prefix the step name with a hash symbol.
  2. Writing M Code in the Advanced Editor:

    • Open the Advanced Editor in the View tab.
    • Create steps in a structured manner using the let and in keywords.
    • Ensure each step ends with a comma except for the last step.
  3. Logical Order of Steps:

    • While creating steps, they may or may not follow a logical order.
    • Power Query evaluates the steps from bottom up, not top down.
    • Even if steps are jumbled, the query will still work correctly.

Part 2: Working with Different Objects in M Language

  1. Lists in Power Query:

    • Lists are one-column data structures.
    • Define a list manually using curly brackets or extract a list from existing data using column names or functions.
  2. Records in Power Query:

    • Records represent rows of data with headers.
    • Extract a record from a table by specifying the row number.
    • Define a record manually by listing column headers and values.
  3. Scalar Values in Power Query:

    • Scalar values are single values like numbers or text.
    • Extract a scalar value from a table by referencing the specific cell.
    • Define a scalar value manually by entering the value directly.
  4. Functions in Power Query:

    • Functions are pre-built capabilities to transform data.
    • Access functions by typing #shared in a new step.
    • Understand the input and output of functions to use them effectively in queries.

Conclusion:

  • Building a strong foundation in M language fundamentals is essential for mastering Power Query.
  • Experiment with creating and manipulating lists, records, scalar values, and functions to enhance your data transformation skills.

By following these steps, you can start exploring and utilizing the M language in Power Query effectively.