How to Create Stacked Bar Chart?

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Background

Stacked Bar Charts are a variation of the standard Bar Chart. We can show how a bar is formed by showing the individual portions. We can call them as categories that form the entire bar. The colors make it easy to understand the visual. Thus we can create a visual for any measure to create a Stacked Bar Chart.

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Tableau Stacked Bar Chart
Tableau Stacked Bar Chart

Steps to Create a Stacked Bar Chart

Creating a Stacked Bar Chart is essential to view how individual parts form a whole. The workbook here will give a comprehensive idea of a Stacked Bar Chart in Tableau. We can see the how each Region contribute to the total Sales over different Years. Moreover, the visual contains color which adds to improved readability.

Tableau Stacked Bar Chart Create
Tableau Stacked Bar Chart

Our Tableau Certified Experts have delicately crafted this Stacked Bar Chart above. In a Stacked Bar Chart we can use any measure in place of Sales, we need to simply modify the fields. Thus Stacked Bar Charts provide great insights for a business. A Stacked Bar Chart allows to understand how different portions contribute to a business.

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Why Create a Stacked Bar Chart

We need to understand why a Stacked Bar Chart is more useful than a Simple Bar Chart. The total performance is the sum of the performance of different categories. Hence a Stacked Bar Chart provides a good understanding of the business data. As a result improved decisions can be made. The portions can be different States. Or we may want to see Profit for different Product Categories. We can also see how different Cities contribute to the total Sales. Thus it provides a holistic view of the business. Better decisions can be made once we have better understanding. Hence in conclusion a Stacked Bar Chart is a very powerful tool for a business. Because it helps see the data very few charts can otherwise.

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Published by Rahul Bhattacharya

Rahul is a journalist with expertise in researching a variety of topics and writing engaging contents. He is also a data analyst and an expert in visualizing business scenarios using data science. Rahul is skilled in a number of programming languages and data analysis tools. When he is not busy writing, Rahul can be found somewhere in the Appalachian trails or in an ethnic restaurant in Chicago.

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