How To Add a Line to a Stacked Area Chart in Power BI
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Stacked area charts are effective for displaying data as filled areas to show the composition of categories over time or other dimensions.
In some cases, you may want to add a line to a stacked area chart to represent a specific data series or to highlight a trend.
There isn't a built-in way to do this in Power BI. Meaning: this visualization isn't one of the options.
But - In this guide, I'll walk you through a work-around to achieve what you want.
Creating Your Combo Chart
We're actually going to use a Line and Clustered Column Chart to achieve our combo chart.
- First Add a Line and Clustered Column chart to your canvas.
- Add 2 data series that you want to graph to the Line Y-Axis wells.
- Create a new single-value measure that is far outside the range of the max value of your dataset. For example, if the values you're charting range from 0 to 25, create a measure that looks like this: ChartArea = 500. Add it to your visualization as a 3rd line.
- Click back on your visualization and go to Format Your Visual > Secondary Y-Axis (this is the one that contains the lines). Manually set the Maximum to a value that's near the max value of your actual data set. In the above example, set it to 30.
- Next, expand Lines and then expand Shapes and Colors.
- Change the color of Chart Area (the manually added Measure) to a light grey.
- For the field where you want to show a Line, change the color to white.
- Last, toggle on the 'Shade Area' switch.
Boom! Now you have a stacked area chart with a line. You're options to change colors with this workaround aren't great, but you can achieve the combo chart type you want when it doesn't exist in Power BI natively.
Conclusion
Adding a line to a stacked area chart in Power BI allows you to highlight specific data series or trends within the context of your stacked area chart.
This combination of chart types can provide valuable insights and improve data visualization for your reports and dashboards.
Experiment with different configurations and formatting options to create compelling and informative visualizations that meet your specific data analysis needs.
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