Creating a double bar graph, also known as a dual-axis chart or a combination chart, in Excel can be a useful way to visualize and compare two sets of data. This type of graph allows you to display two different variables on two different axes, providing a clear visual representation of their relationship. Here's a step-by-step guide on how to create a double bar graph in Excel.
Step 1: Prepare Your Data

Before you begin, ensure that your data is organized and structured properly. You should have two sets of data that you want to compare. For this example, let's say you have data on the sales of two different products over a period of time.
Your data might look something like this:
Date | Product A Sales | Product B Sales |
---|---|---|
Jan | 120 | 150 |
Feb | 130 | 160 |
Mar | 110 | 140 |
Apr | 140 | 170 |
May | 150 | 180 |

Step 2: Insert a Clustered Column Chart

- Select the data range that includes both sets of data (in this case, select the entire table including headers).
- Go to the Insert tab on the Excel ribbon.
- In the Charts group, click on Insert Column Chart and select Clustered Column from the dropdown.
This will insert a basic clustered column chart, with one column representing each data set.
Step 3: Add a Second Y-Axis

- Right-click on one of the columns representing Product B Sales and select Format Data Series.
- In the Format Data Series pane, under the Series Options tab, check the box next to Secondary Axis.
- Click Close to apply the changes.
Now, you should see a chart with two Y-axes: one for Product A Sales and one for Product B Sales.
Step 4: Customize the Chart

You can further customize your double bar graph to make it more visually appealing and easier to read. Here are some suggestions:
- Chart Title: Add a title to your chart that clearly describes what it represents. Go to the Layout tab and click Chart Title, then select Above Chart or Centered Overlay to position the title.
- Axis Labels: Ensure that the X-axis (category axis) and Y-axes (value axes) have clear and descriptive labels. You can add or edit labels by selecting the axis and then typing in the desired label.
- Data Labels: You can add data labels to the columns to show the actual values. Select the columns, go to the Layout tab, and click Data Labels to choose the position of the labels.
- Gridlines: Adding gridlines can help improve the readability of your chart. Go to the Layout tab, click Gridlines, and select the desired gridlines to add.
- Chart Styles: Experiment with different chart styles and color schemes to find one that best suits your data and presentation needs. You can find these options in the Design tab.
Step 5: Fine-Tuning

Once you have the basic double bar graph set up, you can fine-tune it to ensure it accurately represents your data.
- Axis Scaling: Make sure the scaling on both Y-axes is appropriate for your data. Right-click on each axis and select Format Axis to adjust the minimum and maximum values, as well as other axis options.
- Axis Titles: Consider adding titles to your axes to make it clearer what each axis represents. You can do this by going to the Layout tab, clicking Axis Titles, and selecting the desired axis.
- Legend: If your chart has a legend, ensure it is positioned in a way that doesn't obstruct the data and that it clearly indicates which data series is represented by each color or pattern.
At this point, your double bar graph should be well on its way to being a clear and effective visual representation of your data.
Step 6: Finalizing and Presenting

Before presenting your double bar graph, take a moment to review it and make any final adjustments. Here are some tips:
- Consistency: Ensure that the visual elements of your chart, such as colors, patterns, and line styles, are consistent throughout.
- Legibility: Check that all text is clear and easily readable. Adjust font sizes and styles as needed.
- Visual Hierarchy: Consider using different colors, patterns, or sizes to create a visual hierarchy that guides the viewer's attention to the most important data points.
- Annotations: If necessary, add annotations or callouts to draw attention to specific data points or trends.
Once you're satisfied with your double bar graph, you can save your Excel file and include it in your report, presentation, or analysis.
Notes

📝 Note: When creating a double bar graph, it's important to ensure that the two data sets being compared have a meaningful relationship. Ensure that the variables on each axis are logically connected and that the graph provides useful insights into the data.
📝 Note: Be cautious when using dual-axis charts, as they can sometimes lead to misinterpretation of data if not used appropriately. Make sure the scales of the two axes are suitable for the data being presented.
📝 Note: If you're comparing more than two data sets, you might consider using a different type of chart, such as a stacked bar chart or a line chart with multiple series.
Conclusion

Creating a double bar graph in Excel is a great way to visually compare two sets of data. By following these steps and customizing your chart to your specific needs, you can create a clear and informative representation of your data. Remember to choose the right chart type for your data and to ensure that your graph is easy to read and understand.
FAQ

Can I add more data series to a double bar graph?

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Yes, you can add more data series to a double bar graph by following a similar process. Simply select the additional data and insert it into the existing chart. You may need to adjust the chart type and axis settings to accommodate the new data.
How can I change the color of the columns in my double bar graph?

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To change the color of the columns in your double bar graph, select the columns you want to change, go to the Format tab, and choose the desired color from the Shape Fill dropdown.
Can I combine a double bar graph with other chart types in Excel?

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Yes, Excel allows you to combine different chart types. You can create a combination chart by selecting the data and choosing a combination chart type from the Insert tab. This can be useful for comparing different types of data in a single chart.