How to Create Stacked Bar Chart with Multiple Measures?

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Background

Stacked Bar Charts are very useful in providing insights from the data. We can add multiple measures in a Stacked Bar Chart. As a result, it provides a part to whole relationship visually. Thus we can see individual parts forming a whole clearly in a Stacked Bar Chart. Thus businesses of all types can immensely benefit from a Stacked Bar Chart.

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Tableau Stacked Bar Chart with Multiple Measures
Business need to measure Multiple Measure Values

Steps to Create Stacked Bar Chart with Multiple Measures

Get a detailed understanding of a Stacked Bar Chart with our ready to use Tableau Workbook. As we can see below, multiple measures like Sales, Profit and Discount are visible in a single chart. We are able to see part to whole relationships. Thus each bar is segregated by colors. And each color denote a specific measure. Hence this way we can easily gather insights from the data.

Tableau Stacked Bar Chart with Multiple Measures
Tableau Stacked Bar Chart with Multiple Measures

A ready to use Tableau Workbook with Stacked Bar Chart is available above. It will help you navigate around and understand how Multiple Measures are included in it. Moreover, Stacked Bar Charts are very useful in helping understand the data at a glance. Because we do not need to evaluate multiple charts for different Measures.

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Why Create a Stacked Bar Chart with Multiple Measures

A Stacked Bar Chart with Multiple Measures is very useful in cases where a business regularly measures key metrics. We can see a bar, and the detailed components forming the bar. So this is very efficient, and delivers a lot of information with minimal effort. A single visual is enough for users to understand the data. A Stacked Bar Chart with Multiple Measures provides various key discussion points. Thus with proper analysis and good decision based on it helps businesses improve their performance.

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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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