Tableau Stacked Bar Charts: A Powerful Tool in Tableau Data Visualization

A stacked bar chart is a chart type that is used to visualize the distribution of a dataset across multiple categories or groups. It is similar to a regular bar chart, but instead of showing the values of each category or group as separate bars, the values are stacked one upon another to show the total value for each category. In Tableau, you can create stacked bar charts using the “Stacked Bar” chart type.

Data analysts, scientists, statisticians, and others can use Tableau, a very potent data visualisation application, to show the data and form a clear conclusion based on the data analysis. Tableau is well-known for its ability to quickly process data input and provide the necessary data visualisation output.

For creating a stacked bar chart in Tableau, follow these steps:

1. Connect to a data source and drag the fields that you want to use to create the stacked bar chart to the Columns and Rows shelves. The field on the Columns shelf will represent the categories or groups for the chart, and the field on the Rows shelf will represent the value for each category or group.
2. From the Show Me menu, select the “Stacked Bar” chart type. This will create a basic stacked bar chart based on the fields that you selected.
3. Customize the appearance of the stacked bar chart as needed. You can change the colors, labels, and other formatting options for the chart using the formatting options in the top menu.

Stacked bar charts are a useful tool for visualizing the distribution of a dataset across multiple categories or groups, and can help you understand the contribution of each category or group to the total value. They are commonly used to compare the performance of different groups or teams, or to show the breakdown of a total value into its component parts.

The bar charts with segments inside are what the stacked bars are actually made of. These internal segments, which are distinguished by colour, provide more detail to the fields designated with bars. Comparing categorical data is its main use.