How to Insert a Clustered Column Chart in Excel – 4 Methods

Method 1 – Create a Clustered Column Chart for Region-Wise Quarterly Sales data

This is the sample dataset.

Region-wise Quarterly Sales

Step 1: Inserting a Clustered Column Chart

  • Select the whole dataset.
  • Go to the Insert tab > Insert Column/Bar Chart  > choose Clustered Column in 2-D Column.

How to Insert a Clustered Column Chart in Excel

The chart is displayed.

How to Insert a Clustered Column Chart in Excel

Step 2: Switching Row/Column

The data series (regions) is in the horizontal axis. To switch it to the vertical axis:

  • Right-click the chart and choose Select Data.

How to Insert a Clustered Column Chart in Excel

  • Click Switch Row/Column.
  • Click OK.

How to Insert a Clustered Column Chart in Excel

This is the output.

How to Insert a Clustered Column Chart in Excel

Step 3: Adding the Axis and the Chart Titles

  • Click the Plus (+) sign at the upper-right corner of the chart.
  • Check Axis Titles.

How to Insert a Clustered Column Chart in Excel

  • Enter the titles of the axis and the chart.

How to Insert a Clustered Column Chart in Excel

Step 4: Adding Data Labels

  • Click Data Labels.

This is the output.

How to Insert a Clustered Column Chart in Excel

  • Click the values.
  • Select Format Data Labels.
  • Click Number.
  • Choose Custom and enter the following in Format Code.
[>=1000]#,##0,"K";0

How to Insert a Clustered Column Chart in Excel

This is the output.

Created Clustered Column Chart

Read More: How to Create a 2D Clustered Column Chart in Excel


Method 2 – City-Wise Monthly Sales Variation in Percentage

The dataset showcases monthly sales in 4 cities and the percentage of monthly sales in each region.

  • To calculate the monthly percentage, use the following formula in C13.
=C5/SUM(C5:C8)

C5 is the sales in Houston in Jan, C5:C8 is the total sales in Jan. The SUM function sums the sales values.

 

City-wise Monthly Variation of Sales with Percentage

Step 1:

  • Insert a clustered column chart for the monthly sales data (follow the steps described in Method 1).

Clustered Chart City-wise Monthly Variation of Sales with Percentage

Step 2:

  • Select Label Options in Format Data Labels.
  • Check Value From Cells.
  • Set New Line as Separator.
  • Click Select Range.

Clustered Chart City-wise Monthly Variation of Sales with Percentage

  • Enter the Data Label Range: $C$11:$F$11.
  • Click OK.
  • Repeat the procedure for other categories (cities).

Clustered Chart City-wise Monthly Variation of Sales with Percentage

This is the output.

How to Insert a Clustered Column Chart in Excel City-wise Monthly Variation of Sales with Percentage

Read More: How to Create a Stacked Column Chart in Excel


Method 3 – Seasonal Difference of Product Sales

In the dataset below, product sales are based on the 2021 seasons.

Seasonal Difference of Product Sales

  • Insert a clustered column chart.

Seasonal Difference of Product Sales

 

Read More: How to Make a 100% Stacked Column Chart in Excel


4. Yearly Purchase Price vs Selling Price across States

The dataset showcases purchase and selling prices in 2020 and 2021.

Yearly Purchase Price vs Selling Price across States

Step 1:

  • Insert a chart.

Yearly Purchase Price vs Selling Price across States

Step 2:
To remove the Product and Year categories in the Legend Entries (displayed by default):

  • Right-click the chart.
  • Choose Select Data to open the Select Data Source dialog box.

Yearly Purchase Price vs Selling Price across States

Step 3:

To set Product and Year as Category (horizontal axis):

  • Click Edit.

Yearly Purchase Price vs Selling Price across States

  • Enter $B$5:$C$12 in Axis label range.
  • Click OK.

Yearly Purchase Price vs Selling Price across States

This is the output.

Yearly Purchase Price vs Selling Price across States

Read More: How to Insert a 3D Clustered Column Chart in Excel

 


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Md. Abdul Kader
Md. Abdul Kader

MD. ABDUL KADER is an engineer with a talent for Excel and a passion for VBA programming. To him, programming is like a time-saving wizard, making data manipulation, file handling, and internet interactions a breeze. His skill set extends to SWM, GIS, RS, and SPSS. He holds a B.Sc in Urban & Regional Planning from Chittagong University of Engineering and Technology and has shifted to become a content developer. In this role, he crafts technical content centred around... Read Full Bio

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