How to merge two charts in excel
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Merging two charts in Excel is not done by a direct "merge" button, but through combining the data series into a single chart. This process allows you to display multiple sets of data together, often using different chart types for clarity.
Step 1: Prepare Your Data
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Ensure both datasets are organized in a table format.
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Place categories (like months, products, or years) in a single column.
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Place the corresponding values from both datasets in separate columns next to the categories.
Example:
| Month | Sales 2024 | Profit 2024 |
|---|---|---|
| Jan | 5000 | 1200 |
| Feb | 4500 | 1000 |
| Mar | 6000 | 1500 |
Step 2: Insert the Base Chart
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Select the first dataset (categories and first value column).
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Go to Insert → Charts and choose a chart type (Column, Line, or Bar).
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The first chart will appear with only the selected data.
Step 3: Add the Second Data Series
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Click the chart to activate it.
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Go to Chart Design → Select Data.
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Click Add under "Legend Entries (Series)".
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Enter the name for the second series and select the corresponding data values.
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Click OK to confirm.
Step 4: Combine Chart Types (Optional)
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Click the chart to activate it.
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Go to Chart Design → Change Chart Type.
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Choose Combo from the list.
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Assign each series a different chart type (e.g., Column for Sales and Line for Profit).
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Assign one series to the Secondary Axis if the scales differ.
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Click OK.
Step 5: Customize the Chart
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Adjust axis titles, data labels, and colors for clarity.
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Move the legend to avoid overlap.
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Resize the chart for better visibility.
Notes:
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Using a secondary axis is recommended when datasets have vastly different ranges (e.g., Sales in thousands and Profit in hundreds).
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Excel allows merging up to multiple datasets into one chart with this method.
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On Mac, menu names are slightly different: Chart Design → Add Data Series and Chart Design → Change Chart Type → Combo.
Example Outcome
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A column chart representing Sales 2024.
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A line chart representing Profit 2024 over the same months.
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Dual-axis display showing both trends together without losing clarity.
This approach visually merges two charts into a single, informative chart that allows comparisons across datasets.
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