How to See the Data Source of a Table in Power BI

Ever opened a Power BI file someone else built, planning to make a small change, only to find you have no idea where its data actually lives? Power BI reports are only useful if the data powering them is correct and fresh, but tracking down the source file, database, or API an old report is pulling from can feel like detective work. In this article, we'll walk through a few simple methods to see the data source of any table in your Power BI file, so you can stop guessing and get back to building.

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Why Does Finding the Data Source Matter?

Pinpointing your data's origin isn't just a matter of curiosity, it's fundamental to creating reliable and maintainable reports. Knowing the source allows you to:

• Refresh Your Data Correctly: If a report won’t update, the first thing to check is whether the path to the source file is broken or if your login credentials have expired.
• Validate Data Accuracy: To trust your visuals, you need to trust the source. Checking the source ensures you’re looking at the right sales numbers or marketing metrics.
• Collaborate and Hand Off Projects: When you share a .pbix file with a colleague, they'll need to know where the data comes from to keep the report up-to-date. Making sources easy to find helps everyone on your team.
• Debug Errors: Unexplained errors in your charts often trace back to a problem with the underlying data, like a changed column name or a missing file at the source.

Fortunately, Power BI gives you several ways to see exactly where your data is coming from. Let’s start with the fastest method.

Method 1: The Quickest Overview (Data Source Settings)

If you just need a high-level list of all the different data sources used in your Power BI file, the Data Source Settings screen is your best bet. It’s perfect for a quick checkup.

Here’s how to find it:

1. Make sure you’re in the Report view of Power BI Desktop (the main view where you see your charts).
2. In the Home ribbon at the top, look for the "Data" section.
3. Click the Transform data button, which will reveal a dropdown menu.
4. In the dropdown, select Data source settings.

A new window will pop up, showing every unique data source connection in your current file. For example, it might list a path to an Excel file on your C: drive, a web API URL, and the name of a SQL server.

This screen is great because it gives you a quick inventory and allows you to do a few important things:

• See All Connections in One Place: Instantly see if your report connects to a single spreadsheet or ten different databases.
• Update Source Paths: If you moved an Excel or CSV file to a new folder, you can click Change Source... to update the file path without breaking your report.
• Clear or Edit Permissions: Sometimes connection problems are related to credentials. From here, you can clear stored permissions, enforcing Power BI to ask for your login details again the next time it refreshes.

Limitations: While useful for a quick check, this screen won’t tell you which table is connected to which source if you have multiple connections. To get that level of detail, you’ll need the Power Query Editor.

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Method 2: Get the Full Story in Power Query Editor

To see the specific source for a single table or query, the Power Query Editor is your destination. This is where all the data transformation magic happens, and it’s the most reliable way to find your data’s origin story.

Step 1: Open the Power Query Editor

From the main Power BI Desktop window, go to the Home ribbon and click the top part of the Transform data button. This will launch the Power Query Editor in a new window.

Step 2: Select Your Query and Find the Source Step

Once you are in the Power Query Editor, you'll see a few key areas:

• Left Pane (Queries): This is a list of all your queries, which usually correspond to the tables in your report. Select the table you want to investigate.
• Right Pane (Query Settings): Here you'll see a box labeled APPLIED STEPS. This list shows every transformation that has been made to your data, from the moment it was loaded.

To find the source, simply click the very first step in the "APPLIED STEPS" list, which is almost always named Source.

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Step 3: Read the Formula Bar

With the Source step selected, look at the formula bar just above your data preview table. This bar displays the M language code for the selected step and will show you the exact data source.

Examples of What You Might See:

• For an Excel file:

= Excel.Workbook(File.Contents("C:\Users\YourName\Documents\Sales Data\January_Sales_2024.xlsx"), null, true)

Here, you can clearly see the full file path. The File.Contents() part is what reads the file, and Excel.Workbook() is the function that tells Power BI how to interpret it.

• For a web source (like a CSV file online):

= Csv.Document(Web.Contents("https://raw.githubusercontent.com/datasets/gdp/master/data/gdp.csv"),[Delimiter=",", Columns=3, Encoding=1252, QuoteStyle=QuoteStyle.None])

You can see the full URL right inside the Web.Contents() function. This tells you the data is being pulled directly from the internet.

• For a SQL Server database:

= Sql.Database("YOUR_SERVER_NAME", "YOUR_DATABASE_NAME")

This tells you the server name and the specific database the table is sourced from.

Tip: Can't see the formula bar? Go to the View tab in the Power Query Editor ribbon and make sure the box for Formula Bar is checked.

Method 3: Go Straight to the Script with the Advanced Editor

If you're comfortable looking at a bit of code, the Advanced Editor gives you a complete, uninterrupted view of the entire script for a query.

With a query selected in the Power Query Editor, go to the Home tab and click on Advanced Editor.

This opens a window showing the query’s full M language script. The data source is almost always defined in the very first line of a variable named Source. You don’t need to understand M code to find it—just look for a file path, URL, or server name right at the top of the text block.

This view is handy for complex queries where the source might be based on other queries or dynamic parameters. It shows you everything in one place, with no clicking around required.

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How to Find Data Sources in Power BI Service

What if the report has already been published online to your Power BI workspace? You can't open the Power Query Editor there, but you can still find information about the sources.

1. Log in to your Power BI account at app.powerbi.com.
2. Navigate to the workspace where the report is located.
3. Find the Dataset associated with your report (it usually has the same name) and click on the three dots (...) next to it.
4. Select Settings from the menu.
5. In the settings page, look for the sections called Data source credentials and Gateway and cloud connections.

Here, Power BI will list the sources connected to that dataset. It’s important to remember that you can’t change the source location from the Power BI Service. This section is primarily for managing refresh schedules and database credentials. If you need to change a file path or update a query, you almost always have to do it in the original Power BI Desktop file and then republish it.

Final Thoughts

Knowing how to quickly find the origin of your data is a core skill for any Power BI user. Whether you use the quick overview in Data Source Settings or dig into the details with the Power Query Editor, mastering these steps will save you countless headaches and build trust in your reports. The next time you inherit a report or need to investigate an error, you’ll know exactly where to look.

While mastering these skills in tools like Power BI is valuable, sorting through formulas and connection settings is often manual work that slows down both technical and non-technical teams. At Graphed, we’ve designed our platform so you never have to guess where your data is. By connecting your SaaS tools like Google Analytics, Shopify, and Salesforce directly to us, you get a single, unified source of truth. Instead of digging through settings, you just connect your account once. After that, you can use plain English to build dashboards and get insights, letting your team focus on making decisions, not on chasing down file paths.