How to Overlay Two Histograms in Excel

To overlay two histograms in Excel, first create two separate histograms on the same chart. Then, use the chart formatting options to adjust the fill colors and line styles of the two histograms. Finally, adjust the transparency of one of the histograms to create an overlay effect. This will allow you to compare the two datasets visually.


A histogram is a plot that can be used to quickly visualize the distribution of values in a dataset.

This tutorial provides a step-by-step example of how to overlay two histograms in a single plot in Excel.

Step 1: Enter the Data

First, let’s enter the following data that shows the gender and exam scores for 20 students in a class:

Step 2: Create Pivot Table

Next, highlight the cells in the range A1:C21, then click the Insert tab along the top ribbon, then click the icon called PivotTable:

In the window that appears, type the following information and then click OK:

In the PivotTable Fields panel that appears on the right side of the screen, drag the Score variable to both the Rows and Values boxes:

Next, click the Sum of Score dropdown arrow and then click Value Field Settings:

In the new window that appears, click Count and then click OK:

Next, click any value in the pivot table, then click the PivotTable Analyze tab, then click Group Selection:

In the new window that appears, group the data Starting at 65, Ending at 100, By 5, then click OK:

Lastly, drag the Gender variable to the Columns box:

Here’s what the updated pivot table looks like:

Step 3: Overlay Two Histograms in Plot

Next, click the PivotTable Analyze tab, then click the icon called PivotChart:

In the new window that appears, choose Clustered Column as the chart type and then click OK:

The following chart will appear:

overlay two histograms in Excel

The blue bars display the frequency of exam scores for the Females and the orange bars display the frequencies for the Males.

For example, we can see:

  • Two females and two males scored between 65-69.
  • Zero females and two males scored between 70-74.
  • Zero females and one male scored between 75-79.

And so on.

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