Chart & Visualization Issues

How to Create a Stacked-Style Chart Without Adding Averages in Excel

Nimra MalikNimra Malik Nov 11, 2026 868 views

Question details

The user needs to visually compare two average process times in a chart format similar to a stacked chart, but without the values being cumulatively added together.

How to Create a Stacked-Style Excel Chart Without Adding Averages
Product
Excel
Device & OS
not provided
Scenario
Creating a visual comparison of two independent averages using a single bar or column presentation.
Observed behavior
A standard stacked chart automatically sums the two averages, making the total column height incorrect for a direct comparison.
Before you start

Ensure your data is organized in adjacent columns with clearly defined headers for the two average values you wish to compare.

Solution 1Recommended

Create an Overlapping Column Chart

Overlap two data series to create a visual comparison where the bars sit on top of each other without summing the values.

Since a true stacked chart will always add values together, adjusting a standard clustered column chart to overlap completely is the most effective way to compare independent averages without distorting the total height.

1
Insert a Clustered Column Chart

Highlight your data table containing the two averages, navigate to the Insert tab, and select Clustered Column from the Charts group.

2
Adjust Series Overlap

Right-click on one of the data series bars in the chart and select Format Data Series. In the pane that appears, set the Series Overlap slider to 100%.

3
Modify Transparency

Go to the Fill & Line settings within the Format Data Series pane. Increase the transparency of the front bar so that the bar positioned behind it remains clearly visible.

4
Add Data Labels

Right-click the chart series and select Add Data Labels to explicitly show the exact average values, avoiding any visual ambiguity.

Create an Overlapping Column Chart
Controlling the Plot Order: If the smaller value is hidden completely behind the larger one, right-click the chart, choose Select Data, and use the arrow buttons to change the series order. The series at the bottom of the list is plotted in front.
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Easily Create Custom Overlapping Charts in WPS Spreadsheet

WPS Spreadsheet provides intuitive and advanced chart formatting tools, allowing you to seamlessly adjust series overlap, order, and transparency to visually compare averages without unwanted data summing.

  1. 1. Insert a Clustered Column Chart: Select your data containing the two averages, go to the Insert tab, and click the Column Chart icon to insert a Clustered Column Chart.
  2. 2. Adjust Series Overlap to 100%: Double-click the bars to open the right-side formatting pane. Navigate to the Series Options and type 100% into the Series Overlap field.
  3. 3. Modify Fill Transparency: Switch to the Fill & Line tab in the same pane, and drag the transparency slider for the front series so the back series shines through.
100% format compatibility with Microsoft Excel (.xlsx and .xls)Intuitive right-hand formatting pane for precise visual controlEasily adjust series overlap and gap width with simple slidersFree, lightweight, and fast to launch on any device
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Frequently Asked Questions

Why does a standard stacked chart add my averages together?

By definition, a stacked chart displays the cumulative total of the plotted series. It adds each subsequent data point on top of the previous one, which is why it cannot be used to simply overlap two independent values.

How can I ensure the smaller average is always in front?

You can change the plot order by right-clicking the chart and selecting 'Select Data'. In the dialog box, select a series and use the up or down arrows to move it. The series located at the bottom of the list is visually plotted in front.

Are data labels recommended for overlapping charts?

Yes. Adding data labels is highly recommended for overlapping charts because adjusting transparency or hiding portions of a bar can make it difficult to estimate the exact values visually.