Data Import & Export

How to Move Grouped Subheader Data into Separate Excel Columns

Chanuka Geekiyanage Oct 1, 2026 869 views

Question details

The user needs to restructure an exported warehouse spreadsheet by moving grouped invoice/item subheader data into separate columns and filling down the main order information to enable proper filtering.

Move Grouped Subheader Data into Separate Excel Columns

Product: Excel
Device & OS: not provided
Scenario: Cleaning up a messy warehouse data export where orders and subheaders are separated by blank rows, making standard data filtering impossible.
Observed behavior: The exported spreadsheet displays data with main order rows and repeated subheaders separated by blank rows, rather than a flat, tabular format suitable for analysis.

Before you start

Before restructuring your dataset, create a backup copy of your original warehouse export. It is highly recommended to manually map out an example of your desired final row structure on a separate worksheet to guide your data transformation.

Solution 1Recommended

Use Power Query to Restructure the Data

Power Query is the most robust tool for cleaning exported reports, allowing you to fill down order information and pivot subheaders into columns without complex formulas.

Power Query is ideal for repetitive data cleanup tasks. Once you set up the transformation steps, you can simply refresh the query the next time you export your warehouse data.

Load data into Power Query

Select your entire data range and go to the 'Data' tab on the ribbon. Click 'From Table/Range' to open the Power Query Editor.

Fill down order information

Select the column containing your main order information. Right-click the column header, select 'Fill', and then click 'Down'. This will replace the null/blank values with the correct order information for each subheader row.

Pivot subheader data

Select the column containing your subheader categories. Go to the 'Transform' tab and click 'Pivot Column'. Choose the corresponding values column so the subheader data moves into separate columns (e.g., Column L onwards).

Load the cleaned data

Once the data is flattened and structured correctly, click 'Close & Load' on the Home tab. The formatted dataset will be exported to a new Excel worksheet.

Solution 2

Use 'Go To Special' and Formulas to Fill Down Data

If you prefer not to use Power Query, Excel's built-in 'Go To Special' feature combined with a simple reference formula can quickly fill in missing order information across blank rows.

Flatten Data Easily with WPS Spreadsheet

Clean and Restructure Data Using WPS Spreadsheet

WPS Spreadsheet provides powerful data handling tools, including advanced filtering, text-to-columns, and Go To Special features, making it incredibly simple to clean up messy exported warehouse data.

1. Open the warehouse export: Launch WPS Spreadsheet and open your raw exported data file.
2. Locate blank cells: Highlight the target column. Go to the 'Home' tab, click 'Find and Replace', and select 'Go To'. Choose 'Blanks' to highlight all empty cells.
3. Fill down data: Type '=' and reference the cell above, then press 'Ctrl+Enter' to instantly fill down your order information.
4. Reorganize columns: Utilize the sorting and filtering tools under the 'Data' tab to isolate your subheaders and move them to separate columns.

Fully compatible with Microsoft Excel (.xlsx, .csv) formatsLightweight and fast, ensuring smooth performance even with large warehouse data exportsIntuitive UI with familiar data manipulation and formatting toolsFree to use with comprehensive data analysis capabilities

microsoft office alternative - wps office

Frequently Asked Questions

Why are there blank rows in my exported spreadsheet?

Many ERP and warehouse systems format exports for human readability (similar to a printed report) rather than data analysis. This often results in merged cells, blank rows, and grouped subheaders that need to be flattened before filtering.

Can I automate flattening this warehouse export?

Yes. If you receive this type of export regularly, using Power Query to establish a connection or recording a Macro (VBA) will automate the repetitive steps of filling down order data and transposing subheaders.

How do I move specific subheader data without messing up the main rows?

You should first ensure every row has a unique identifier by filling down the repeated order number into the blank cells. Once every row contains the main order context, you can safely sort, filter, or pivot the subheader data into separate columns like L, M, and N without losing the relationship between the order and the item.

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