Empower Your Data Analysis with Clustered Stacked Chart

Data is everywhere and has significant importance in our lives. We deal with it every day, so we need to know how best to present that information if you want your point across clearly- which means knowing what’s appropriate for different audiences!

Data is a powerful tool that can be used to make decisions.  It’s important for companies and businesses alike because they need data in order to get the most out of their resources while also making sure you’re spending yours wisely!

Data presentation with the clustered stacked chart can be vital to show the variety of factors. Therefore, economists, business analysts, and companies’ figureheads use data with stack columns. If you have to deal with data sets and subsets, there is no other better option than to use the clustered-based data chart with stack columns.

But before we further dive into the depth of understanding clustered charts with stacks, we learn the basics of intermediary introduction to the stack chart for cluster presentation. Be it noted, the size of the cluster chart depends on the data entities and subsets. Let’s first be introduced with What Is a Clustered Stacked Chart?

What Is a Clustered Stacked Chart?

A cluster stacked chart presents with the bunches of columns or bars. This chart also possesses a stack in every row, column, or bar inside it. We will discuss ahead how to build up the MS Excel datasheet to create a cluster stacked chart or a cluster stack bar chart. You can also use a pivot table or pivot chart for a successful and easy solution to produce a stack column chart in an MS Excel sheet.

In other words, you can say in response to the question of a clustered stacked chart that a stacked column chart with clusters is a fundamental Excel chart category that enables you to render the whole comparisons simultaneously inside the columns or with the data subsets alongside the main categories. Additionally, in a stacked column chart, data sets and entities are piled up on top of the other subsets in vertical column sorting.

How do stacked column charts work?

You can add multiple actions and features to the chart to demonstrate a viably appropriate depiction of the data flow. That is how it can make sense of data relation with primary and secondary key relations. So, you can make it grasp how data behaves and flows in an understandable way. To discuss how stacked column charts work, let’s uncover the big picture of the clustered chart.

How To Create a Clustered Stacked Chart in Excel?

MS Excel Power Tools for Stacked Column Chart

Microsoft has introduced some built-in features in MS Excel that help you set a quick stacked column chart. However, there are a couple of methods you can go beyond creating the chart with less effort. First, compared to the traditional chart building, you would need to set data sets, columns, and other entries on separate grounds. Therefore, it would take an effort to deliver a chart presentation. Moreover, it would also baffle the correlation of datasets, subsets, and other bars with relevant columns markup.

Ready-to-Use Columns and Bar Charts

In MS Excel, there are a couple of advanced features for stacked clustered charts to present data columns and bars with ready-to-use convenience. It is more likely that of drag and drops features. You can also change the style and show the datasets with featured columns and bars.

These datasets and entries compare budget and actual values for three entities for two tenures of the year. Let’s say you want to depict the clusters for each individual entity. It will give you an appropriate budget comparison illustration with the stack and bar values next to stacked actual values within each collection.

Go with the Cluster Stack on Excel

While developing the data clustered chart, you need to depict the actual data apart from the data arrays with subsidiary columns. You can also create a despicable data region that can relate to the actual data. The smartest strategy to pile up cluster and bar to the column is to copy the real data and then use it with Paste with Special Link to create the staging area. In this article, we aim to make the chart first, and then we will lead you to how you can make changes and the chart. In practice, you can also modify the data type first and then create the stacked cluster chart, knowing the effects of the data outline on chart visuality.

No. A B D E
1   D1 Actual Data D2 Actual Data D1 Budget D2 Budget
2 Nike 4900 5200 7000 7000
3 Adidas 1800 1850 3500 3500
4 Puma 2000 1950 2200 2200
6   D1 Actual Data D2 Actual Data D1 Budget D2 Budget
7   4900 5200 7000 7000
8   1800 1850 3500 3500

Step 1:

To construct the chart in MS Excel, first, we go to the clustered stacked chart with the first three top-selling shoes.

We have to compare the actual and budget data of a shareholder.

  • The first you will do is to create a stacked column or bar chart from the data row in B6:E9. Although you have selected no categories with footwear brands that are not part of the initial chart diagram.
  • Excel goes with auto insertion of the counting numbers 1, 2, 3 as the top three data types of shoe brands with a relative budget and actual budget data subset.

This way, it will lead you to add a cluster with a bar onto the stacked column.

Though the categories often begin from the origin, thus the functionality of the bar chart in terms of categories are its labels that escalate from the bottom up. In place of top-down as in the Excel chart, you might choose some secondary category option in the illustration. You will have to format the vertical Axis to make the categories run in reverse order.

Furthermore, the data value (horizontal) axis has to meet at the highest category niche, which should be at the bottom this way since the sequence of the mentioned categories was reversed.

Step 2: Data Setting in the Chart

Data Stagers are the function that empowers you to stage and set data categories in a specific area. You can here co-opt for the data flow and data relation. Data Staging does not work automatically rather, and you have to

  • Right-click on the chart, then choose “Select Data or Source Data” (the command is based on version specification).
  • Another feature of changing the whole data range you can click on the Chart Data Range box by selecting it.

Step 3: Labelling to the Categories of Datasets

You need to enhance the datasets (cluster) labels. You will do this by

  • adding a “replica” sequence to the secondary widget, as we did in the above table. The secondary widget or Axis will showcase the category labels you may want.
  • Add a column to the original data range for the replica axis series (row 6 in our example) quoted above in the table.

Step 4: Finalization of Cluster Depiction 

Now here we move to finalize our clustered chart with stacks. Here you will

  • opt for the added data (R1:R4), don’t forget to press and hold Ctrl while selecting the referred column with the actual labels (A1:A4). This way, you can highlight both areas with their relevant field. Make sure you should have the blank top cell added to the first column.
  • You can now copy the range, look for the appropriate chart, and paste for a particular link.
  • Valid keys such as Home tab of the ribbon following Paste drop-down following Paste Special category or links to add this data type to the chart as a new sequence, in relevant columns, with sub-category name in the first row as for the shoe brand and category labels in the first column.


In MS-Excel version 2003 and earlier to quote a Clustered Stacked Chart Example, the original labels (1, 2, 3, etc.) will stick along the Axis, but in the 2007 version, the new labels reserve their area, even if you hadn’t checked “Replace Existing Categories.”

To make a stacked-clustered column chart, you will have to convert the newly created series to a bar chart type. Sometimes Excel 2007 would not expand the legend enough to depict the legend entry for Axis, so you can also stretch it in this chart. Therefore, the process goes the same in both versions; only the command line and procedure are different.

What is the Difference Between a Clustered and Stacked Column Chart?

This is quite an interesting fact while constructing or exploring a clustered stacked chart that a frequently asked question comes to observation: What is the difference between a clustered and stacked column chart. The answer is as fascinating as the question itself is.

Despite the fact stacked charts illustrate the entire sequence and picture of a whole chart where you can barely observe trends in a bottom way and in the sum up of all series you can accurately assess individually.

On the other hand, Clustered chart enables you to observe all datasets to be compared owing to the fact that there is an individual but unique baseline. The clustered chart also shows data at greater resolution because Axis is tied to the biggest single entity, not wholesome with totality.

What is the Secondary Approach in Constructing the Line Chart?

Point-to-point trends are illustrated more in detail as in line charts, with the help of markers depicting data values and joining lines visualizing the transitions between dataset points.

If the horizontal axis in the chart is linked on numbers or on numerical featured numbers, line charts should be adopted instead of column charts. If the horizontal Axis is categorical, the lines may render an erroneous result of a somewhat continuous transition between the categories.

Empower Your Data Analysis with Clustered Stacked Chart

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