Clustered Bar Chart
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Clustered Bar Chart

Power BI Clustered bar chart is useful to display comparison of multiple series as in horizontal columns. Each data series shares the same axis labels, so horizontal bars are grouped by category.

Refer similar chart: Stacked Bar Chart

Let’s get started-

Download Sample dataset- Global_superstore_2016.xls

Follow these steps in order to create a Clustered Bar Chart:

Step-1: Import Orders dataset from Global superstore file.

Step-2: Add Clustered Bar Chart visual into Power BI Report page from visualization pane.

Step-3: Select Clustered Bar Chart & add some columns into Fields section.

  • Axis: ‘Region’
  • Legend: ‘Category’
  • Value: ‘Sales’
Clustered bar chart in Power BI

Clustered bar chart in Power BI

Required Fields descriptions:

  • Axis: Specify the Column that represent the Horizontal Bars.
  • Legend: Display grouped by category data series as in Horizontal Bars.
  • Values: Any Numeric value such as Sales amount, Total Sales etc.

Format Clustered Bar Chart visual:

Set font size, font family, Title name, X axis, Y axis & Data labels & colors for chart visual.

Click any where on chart then go to Format Section & set below properties-

  • General: Allows you to set X axis & Y axis, width & height of column chart.
  • X-Axis: Using this section allows you to modify the appearance of the X-Axis section of this chart.
  • Y-Axis: Using this section allows you to modify the appearance of the Y-Axis section of this chart.
  • Data colors: Here you can change the colors used for each series in the chart.
  • Data labels: Its enable the values for each category on chart & you can set the display unitposition & orientation of labels.
  • Zoom Slider: It enables zoom feature on chart, using this you can easily saw the small values on chart.
  • Title: Specified the Title name for Chart.
Clustered bar chart with formatting

Clustered bar chart with formatting

Implement Small multiples feature- Small multiples chart

Refer more Power BI visuals- Power BI Visuals

Hope you enjoyed the post. Your valuable feedback, question, or comments about this post are always welcome.

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