Categories
A Clustered Bar Chart is one of the best-suited visualization designs for displaying multiple varying metrics in your data.
The visualization design is straightforward to decode.
Popular and widely used visualization tools like Google Sheets lack ready-made Clustered Bar Charts.
But you can transform the application into a reliable tool by installing third-party add-ons to access visually appealing and ready-to-use Clustered Bar Graphs in Google Sheets.
A clustered bar chart displays more than one data series in clustered horizontal columns. Each data series shares the same axis labels, so horizontal bars are grouped by category.
Clustered bars directly compare multiple series in a given category. The chart is amazingly easy to read and interpret, even for a non-technical audience.
Adding another variable to a chart can double the amount of data that is represented. Besides, the spacing between clusters makes comparisons clearer.
The Clustered Bar Chart as well as Clustered Stacked Bar Chart in Google Sheets emphasizes the data within categories more than the data between them.
However, you can make comparisons between categories more clearly by using consistent color schemes. For instance, in a quarterly sales chart, each quarter should have the same color in each category to avoid confusion.
This approach works particularly well when using a Side-By-Side Bar Chart in Google Sheets, as it allows for straightforward visual comparisons across different periods.
Take a look at the table below:
How easy is it to interpret the table?
| Cities | Quarter-1 | Quarter-2 | Quarter-3 | Quarter-4 |
| New York | 500 | 300 | 600 | 650 |
| Chicago | 400 | 550 | 300 | 400 |
| Austin | 350 | 400 | 450 | 500 |
| Boston | 450 | 500 | 550 | 300 |
| Seattle | 600 | 400 | 300 | 250 |
Note the difference after visualizing the data using a google sheets Clustered Bar Chart in Google Sheets. You can easily point out key insights in the table above.
Keep reading because we’ll address the following question in the coming section: when should a Clustered Bar Graph be used?
Like a standard Bar Chart, the Clustered Bar Chart or a Stacked Bar Chart in Google sheet is built to display comparisons across different data categories.
Use the visualization design if your goal is to assess how the second category variable changes within each level of the first.
There are two types of comparison insights displayed in the chart, namely:
For within-group comparisons, the primary categorical variable’s levels determine a location for a cluster of bars to be plotted. In a stacked bar diagram, the number of bars you can plot in each group equals the number of levels of the secondary categorical variables.
On the other hand, the between-group comparisons are aided by choosing a consistent color and order for each secondary variable’s level to be plotted in each group.
In the next section, we’ll cover the following: How to create a Clustered Bar Chart in Google Sheets?
This section will use a Clustered Bar Chart in Google Sheets to visualize the data below.
| Cities | Quarter-1 | Quarter-2 | Quarter-3 | Quarter-4 |
| New York | 500 | 300 | 600 | 650 |
| Chicago | 400 | 550 | 300 | 400 |
| Austin | 350 | 400 | 450 | 500 |
| Boston | 450 | 500 | 550 | 300 |
| Seattle | 600 | 400 | 300 | 250 |
To Get Started with the Clustered Bar Chart in Google Sheets, install the ChartExpo Add-on for Google Sheets from the link, and then follow the simple and easy steps below.
In this video, you’ll learn how to create a Clustered Bar Chart in Google Sheets.
A Clustered Bar Chart is similar to a simple Bar Chart.
However, a Bar Chart displays insights into a single metric of a given category. On the other hand, a Clustered Bar Graph can display insights into two or more key variables in your data.
A Clustered Bar Chart is one of the best-suited visualization designs for displaying multiple varying metrics in your data.
The chart displays more than one data series in clustered horizontal columns. Each data series shares the same axis labels, so horizontal bars are grouped by category. Clustered bars directly compare multiple series in a given category.
The chart is amazingly easy to read and interpret, even for a non-technical audience.
Adding another variable to a Clustered Bar Chart can double the amount of data that is represented. Besides, the spacing between clusters makes comparisons clearer.
Popular and widely used visualization tools like Google Sheets lack ready-made Clustered Bar Charts.
To access ready-made Clustered Bar Graphs, such as Grouped Bar Charts, we recommend you install third-party apps, such as ChartExpo, into your Google Sheets.
ChartExpo is an add-on you can easily download and install in your Google Sheets app. More so, the tool comes with insightful and ready-to-go 50-plus charts in Google Sheets.
Sign up for a 7-day trial to enjoy unlimited access to simple and visually appealing Clustered Bar Charts for your data stories.
How much did you enjoy this article?
A Google Sheets Histogram makes data visualization simple by revealing patterns. Learn how to create, customize, and optimize histograms for better insight.
A Google Sheets Amortization Schedule tracks loan payments, interest, and balances. Learn how to create your schedule for better loan management.
Google Sheet profit and loss template simplifies tracking income and expenses. Learn tips and steps for using this template for better financial management.
