Tableau Stacked Bar Chart Multiple Measures Percentage

Tableau is a powerful data visualization tool that allows users to create visually appealing and interactive charts. One popular chart type in Tableau is the stacked bar chart, which is used to show the composition of a whole broken down into multiple parts. In a stacked bar chart, each bar represents the total value, while each segment of the bar represents a different measure or category.

When working with multiple measures in Tableau, you can create a stacked bar chart that displays the percentage contribution of each measure to the total. This can provide valuable insights into the relative importance of each measure and how they contribute to the overall picture.

Tableau Stacked Bar Chart Multiple Measures Percentage

2. Creating a Tableau Stacked Bar Chart with Multiple Measures as Percentage

To create a stacked bar chart with multiple measures as percentage in Tableau, follow these steps:

1. Drag and drop the dimensions and measures you want to include in the stacked bar chart onto the Rows and Columns shelves in Tableau.

2. Click on the “Analysis” menu and select “Stack Marks” to stack the bars on top of each other.

3. Right-click on the measure in the Columns shelf that you want to display as a percentage and select “Quick Table Calculation” > “Percent of Total” to convert the measure into a percentage of the total.

4. Customize the appearance of the chart by adjusting the colors, labels, and other formatting options to make it more visually appealing and easier to interpret.

By following these steps, you can easily create a Tableau stacked bar chart with multiple measures displayed as percentage contributions. This can help you better understand the relative importance of each measure and make informed decisions based on the insights gained from the chart.

3. Conclusion

Tableau stacked bar charts with multiple measures displayed as percentages can provide valuable insights into the composition of a whole and the relative importance of each measure. By following the steps outlined in this article, you can easily create visually appealing and informative charts that help you make data-driven decisions and communicate your findings effectively.