How to move duplicates to another sheet in excel

Answer

To move duplicates to another sheet in Excel, follow these steps carefully:

Step 1: Identify the Range

Select the range of data where you want to find duplicates. Ensure the selection includes all relevant columns.

Step 2: Apply Conditional Formatting to Highlight Duplicates

1. Go to the Home tab.

2. Click Conditional Formatting → Highlight Cells Rules → Duplicate Values.

3. Choose a formatting color to mark duplicates. This helps visually identify them.

Step 3: Filter for Duplicates

1. With your range selected, go to the Data tab.

2. Click Filter. Small dropdown arrows will appear in your column headers.

3. Click the dropdown arrow in the column where duplicates exist.

4. Choose Filter by Color and select the color applied in step 2. Only duplicates will be displayed.

Step 4: Copy Duplicates

1. Select all visible duplicate rows after filtering.

2. Press Ctrl + C (Windows) or Command + C (Mac) to copy them.

Step 5: Paste Duplicates into Another Sheet

1. Open or create the destination sheet.

2. Select the cell where you want to start pasting.

3. Press Ctrl + V (Windows) or Command + V (Mac) to paste.

Step 6: Remove Duplicates from the Original Sheet (Optional)

1. Go back to the original sheet.

2. Select the range again.

3. Go to Data → Remove Duplicates.

4. Select the columns to check for duplicates and click OK. This deletes duplicates while keeping the first occurrence.

Alternative Method: Using a Formula

You can use a formula to identify duplicates dynamically:

1. In a new helper column, enter:

   =IF(COUNTIF(A:A, A2)>1, "Duplicate", "Unique")

2. Filter the helper column for Duplicate and then copy those rows to another sheet.

Notes

• Conditional Formatting works for large datasets and provides visual guidance.

• Using a formula allows dynamic updates if new data is added.

• Make sure to verify duplicates across all relevant columns for accurate results.

This method ensures duplicates are moved safely without losing any original data integrity.

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