How to Open Advanced Editor in Power BI

Cody Schneider9 min read

The Advanced Editor is the engine room of Power BI’s Power Query. While the point-and-click interface is great for most data cleanup tasks, the Advanced Editor is where you can see, edit, and have full control over the code that transforms your data. This article will guide you through exactly how to open the Advanced Editor, break down what you're looking at when you get there, and cover practical scenarios where it can save you a ton of time.

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What Exactly Is the Power BI Advanced Editor?

In short, the Advanced Editor is a simple text editor inside the Power Query Editor that displays the underlying M code for your entire data transformation process. Every time you click a button in Power Query to filter a row, rename a column, or merge tables, Power BI is writing a line of M code for you in the background. The Advanced Editor lets you pull back the curtain and interact with that code directly.

A Quick Word on M Code

Before jumping in, it helps to know what “M Code” is. Formally known as the Power Query Formula Language, M is the language that fuels all data transformations in Power Query. Think of it as the recipe for your data. Each step in the recipe takes the data from the previous step and does something to it.

For example, a step might look like this:

#"Renamed Columns" = Table.RenameColumns(#"Filtered Rows",{{"customer_name", "Customer Name"}})

This line of M code tells Power BI to take the output of the previous step (called #"Filtered Rows") and apply the Table.RenameColumns function to it, changing the column "customer_name" to "Customer Name".

You don't need to be an M code expert to use the Advanced Editor, but understanding this basic concept – that each action creates a written step – is all you need to get started.

How to Open the Advanced Editor: A Step-by-Step Guide

Finding the Advanced Editor is simple once you know where to look. It’s located inside the Power Query Editor, which is the part of Power BI dedicated to connecting to and shaping your data. Here’s how to get there from scratch.

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Step 1: Launch the Power Query Editor

First, you need to open the right tool. The Power Query Editor is a separate window from the main Power BI Desktop Canvas (where you build your visuals).

  • In Power BI Desktop, look for the Transform data button on the Home tab of the main ribbon.
  • Clicking this button will launch the Power Query Editor window.

If you're starting a new project, you can also get here by clicking Get data, connecting to a data source (like an Excel file or a database), and then choosing the Transform Data option in the preview window.

Step 2: Find the Advanced Editor Button in the Ribbon

Once you’re in the Power Query Editor, you have two primary spots in the command ribbon where you can find the “Advanced Editor” button. Both take you to the exact same place.

Option 1: The 'Home' Tab

This is the most common way to open it. With one of your queries selected in the Queries pane on the left, navigate to the Home tab in the ribbon. You'll find the Advanced Editor button about two-thirds of the way down the ribbon.

Option 2: The 'View' Tab

Alternatively, you can switch to the View tab in the ribbon. You’ll see another Advanced Editor button right next to the "Data Preview" options. This button does the same thing – it is just placed there for convenience, as viewing the underlying code is a key part of inspecting your query.

Clicking either of these buttons will open the Advanced Editor window for your currently selected query.

Making Sense of the Advanced Editor Window

When you first open the Advanced Editor, you’re presented with a block of code that might seem intimidating. But it’s built around a very simple structure defined by two keywords: let and in.

Let's look at a simple example. Imagine we connected to an Excel file, promoted the first row to headers, and changed a column's data type. The code would look something like this:

let
    Source = Excel.Workbook(File.Contents("C:\Users\YourUser\Desktop\SalesData.xlsx"), null, true),
    Sales_Sheet = Source{[Item="Sales",Kind="Sheet"]}[Data],
    #"Promoted Headers" = Table.PromoteHeaders(Sales_Sheet, [PromoteAllScalars=true]),
    #"Changed Type" = Table.TransformColumnTypes(#"Promoted Headers",{{"OrderID", Int64.Type}, {"SaleAmount", type number}})
in
    #"Changed Type"
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Decoding the 'let' and 'in' Structure

  • The let block: Everything between let and in is where the steps of your "recipe" are defined. Each line represents a transformation step and assigns it to a variable (like Source, Sales_Sheet, etc.). Each variable builds on the previous one, and you can see this clearly: the #"Changed Type" step uses the result of the #"Promoted Headers" step, which uses the result of the Sales_Sheet step. This chain is what makes Power Query work.
  • The in statement: The in keyword simply defines the final output. Whatever variable name comes after in is what Power Query will display as the result of the query. In most cases, this will be the name of your very last step, as shown above.

You’ll also notice that each step in your "Applied Steps" pane on the right side of the Power Query Editor directly corresponds to one of the variables defined in the let block. This connection is the most important concept to grasp. The UI and the Advanced Editor are just two different ways of looking at the same process.

Practical Reasons to Use the Advanced Editor

So why go through the trouble of editing code directly when the interface is so user-friendly? The Advanced Editor gives you access to a level of control and efficiency you can't get otherwise.

1. Debugging and Troubleshooting Your Queries

Sometimes a query breaks with a cryptic error message. The user interface might just highlight a step in red without a clear explanation. By opening the Advanced Editor, you can inspect the code for that step and easily spot issues like a misspelled column name, a missing comma, or a structural problem that isn't obvious from the UI.

2. Pasting Ready-Made Code from the Community

The Power BI online community is incredibly active. You’ll often find solutions to complex problems (like parsing a complicated text string or building a dynamic calendar table) shared as M code snippets. The Advanced Editor is where you can copy and paste this code directly into your project, saving you from having to recreate complex logic through the user interface.

3. Making Bulk Edits Quickly

Imagine you have a filter step where you need to check fifty different IDs. Selecting each ID one by one in the filter dropdown is tedious. In the Advanced Editor, you can simply edit the M code to include a list of values. Instead of clicking for five minutes, you can copy-paste a list of IDs directly into the code and be done in seconds.

For example, you could quickly change this:

Table.SelectRows(Source, each ([ProductID] = "A"))

To this, by just pasting in a list:

Table.SelectRows(Source, each List.Contains({"A","B","C","D"}, [ProductID]))

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4. Documenting Your Work with Comments

Just like with any programming language, you can add comments to your M code to explain what you're doing. This is incredibly helpful when you return to a complex query months later or when a colleague takes over your work. You can add comments using // for a single line or /* ... */ for a block of text.

let
    // Connect to the source Excel file in the shared drive
    Source = Excel.Workbook(File.Contents("S:\Shared\SalesData.xlsx"), null, true),
    ...
in
    ...

5. Implementing More Complex Logic

While the Power Query UI covers 90% of use cases, some conditional logic or looping operations are easier or only possible through direct M code manipulation. The Advanced Editor is your gateway to leveraging the full power of the M language beyond the standard buttons and menus.

Key Tips for Working in the Advanced Editor

Before you dive in and start editing, keep these simple rules in mind to avoid common mistakes.

  • Make a Backup First: Before making significant edits, right-click your query in the Queries pane and select Duplicate. Work on the copy so you can always revert to the original if something goes wrong.
  • Mind the Commas: This is the most common error. In the let block, every single step except for the very last one must end with a comma. Forgetting a comma or adding one where it doesn't belong will break the query.
  • Case Sensitivity Matters: M code is case-sensitive. Table.PromoteHeaders is not the same as table.promoteheaders. Pay close attention to the casing of function names and your own variable names.
  • Check for Syntax Errors: The Advanced Editor has a tiny but helpful syntax checker at the bottom of the window. A green check and the message "No syntax errors have been detected" mean your code is structurally correct (though not necessarily logically correct). Always look at this before clicking "Done".

Final Thoughts

The Power BI Advanced Editor gives you direct access to the M code that powers your data transformations. Learning how to open it and understand its basic structure helps you troubleshoot problems, implement complex solutions from the community, and gain a deeper understanding of how Power Query actually works behind the scenes.

Of course, diving deep into code isn't always the fastest path to getting answers from your data, especially when you're working with common marketing and sales platforms. In building our tool, we wanted to eliminate the need for complex data prep and code-based solutions entirely. With Graphed you simply connect your data sources like Google Analytics, Shopify, and Salesforce, and then create entire dashboards and reports just by describing what you want to see in plain English. We turn hours of data wrangling into a 30-second conversation, empowering your team to get the insights they need without a steep learning curve.

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