Ribbon Chart in Power BI

Ribbon chart is Power BI native visual and it is similar like stacked column chart in Power BI with some advance functionality.

With Ribbon Chart you can see the rank & sales changes difference between categories.  It always shows large value in each column at the top then the next value comes after.

Let’s get started-

Download Sample dataset- Global_superstore_2016.xls

Follow these steps in order to create a Ribbon chart:

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

Step-2: Add Ribbon visual into Power BI report page with some columns.

Axis: Market

Legend: Year from Order date

Values: Sales

Step-3: Now understand the rank change behavior, just move the mouse gap between “LATAM” & “USCA”.

As you can see in above screen shot for Year 2013 – LATAM sales is 464733.30 & USCA sales for year 2013 is 486629.31, which is less then from USCA sales.

So, here rank has drop by 1 number, earlier for Year 2013 it was 3 and now it is 4. Rank always count from top to bottom. See rank number in below screen shot-

Gap between every category presents the sales & rank change difference.

Formatting Ribbon chart-

You can set the font size, font family, Title name, X axis, Data labels & colors for chart visual.

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

• General: Allows you to set X axis & Y axis, width & height of chart.
• Legend: Set the font size, font-family, color & position of legend on chart.
• X-Axis: Allows you to modify the appearance of the X-Axis section of this chart.
• Title: Specified the Title name for 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 unit, position & orientation of labels.
• Zoom Slider: Enables zoom feature on chart, using this you can easily saw the small values on chart.
• Ribbon: Allows you to set the Space, Matching series color & border for ribbon.

Refer other Power BI topics: Power BI Visuals

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