Combining Multiple Excel Sheets in Power Query
You are preparing data from an Excel workbook that contains multiple sheets. Each sheet has a similar structure but different data. You need to combine all sheets into a single table in Power Query. What is the most efficient approach?
Quick Answer
Using the 'Combine Files' approach and treating the workbook as a folder of sheets is the answer because it lets Power Query apply one transformation pattern to every sheet automatically instead of requiring you to load, shape, and append each sheet as its own separate query. When you point Combine Files at a workbook with multiple similarly structured sheets, Power Query samples one sheet to work out the transformation logic, then applies that same logic to every other sheet and combines the results into a single table in one coordinated operation. This matters most when the workbook could gain or lose sheets over time, since Combine Files adapts to whatever sheets exist at refresh time rather than depending on a fixed list of manually created queries, which is what makes it more efficient than combining sheets one at a time and appending them individually. The core idea to hold onto is that Combine Files is a pattern-based, one-to-many operation: define the shape once against a representative sample, and Power Query replicates it across every item, whether those items are sheets in a workbook or files in a folder. Whenever a scenario describes multiple similarly structured sheets or files that need consistent treatment and should scale automatically as more get added, Combine Files is the approach built for exactly that situation.
⚠ Common exam trap
A common mix-up: candidates confuse 'Append Queries' (which stacks rows) with 'Merge Queries' (which joins columns), and overlook the 'Combine Files' approach because they think it only applies to multiple files, not multiple sheets within a single workbook.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use the 'Combine Files' approach with the workbook as a folder, then select all sheets.
The 'Combine Files' approach in Power Query treats the workbook as a folder, allowing you to select all sheets and automatically combine them into a single table. This is the most efficient method when multiple sheets have a similar structure, as it uses a single transformation step and handles dynamic sheet names without manual query creation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Load each sheet as a separate query and then use 'Append Queries' to combine them.
Why it's wrong here
While possible, it requires manual effort and is not efficient for many sheets.
- ✗
Use 'Merge Queries' to join the sheets based on a common column.
Why it's wrong here
Merge is for joining columns, not appending rows.
- ✓
Use the 'Combine Files' approach with the workbook as a folder, then select all sheets.
Why this is correct
Power Query can treat a single workbook as a folder of sheets and combine them automatically.
- ✗
Create a new query that references each sheet query and then merges them.
Why it's wrong here
Merging is for combining columns, not rows; appending is for rows.
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Variation 1. You are importing data from an Excel workbook that contains multiple sheets. Each sheet has similar structure but different data for different regions. You need to combine all sheets into a single table for analysis. What should you do?
medium- A.In Power Query Editor, use Merge Queries to combine the sheets.
- ✓ B.In Power Query Editor, use Append Queries to combine the sheets.
- C.Copy and paste the data from each sheet into a master sheet in Excel.
- D.In Power Query Editor, use Group By to consolidate the data.
Why B: The Append Queries operation in Power Query Editor is designed to combine rows from multiple tables or queries with similar column structures into a single table. Since each sheet in the Excel workbook contains data for different regions with the same structure, appending them stacks the rows, creating a unified dataset for analysis.
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