top of page

Error Bars in Power BI

Updated: May 2

Power BI now has a new feature called error bars that show "Uncertainty" in the data on the graph to users. Uncertainty is the quantitative estimation of error present in data, it is an important aspect to data, especially in scientific disciplines and other fields to give an idea of how precise the measured data is. Error bars add context to a chart and can give users an idea of how precise a measurement is and how far from the reported value the true value might be.

To use the error bars feature, first select the visual to be analyzed, then select the Analytics subpanel in the Visualization panel, and finally Error bars. But if you are using an older version of Power Bi desktop, enable the error bars feature in Options & Settings > Options > Preview Features and check the error bars checkbox.

In Power BI, the error bars can be visualized with:

  • By field: You can use the value of some other field for the upper and lower bound of each error bar.

  • By percentage: Will show you upper and lower bounds as calculated from the displayed value of your value field.

  • By percentile: These will show you bounds calculated from the aggregated data points at each X-axis value on your chart.

  • By standard deviation: The usual statistical treatment is to show error bars within two standard deviations of the mean.

For example, a company have data of average sales in one year, they want to measure risk assessment using the data that they have, to measure it, use standard deviation in error bars, the standard deviation can be used as a tool to measure the volatility of a fund. Higher the standard deviation, the higher the volatility. This measurement can help assess risk when deciding the next solution to maintain or improve the sales to avoid the risk.

To use error bars by standard deviation, select your visual that you want to analyze, in Visualization panel, select Analytics sub panel, enable the error bars then change the type into standard deviation, then choose standard deviation that you want (1, 2, 3, etc.).

Error bars by standard deviation

Another example is a palm oil company that has data on daily palm oil production. They want to know whenever there is a time when the production is outside the ideal values to make sure there is longevity and production goes smoothly by hitting financial targets. To visualize it, use error bars and choose type "by field," then input the upper and lower bands of the ideal values, with that, we can see the value that is outside the ideal in the graph.

Error bars by field


You've just witnessed the transformative power of Error Bars in unlocking valuable insights and driving data-driven decision-making. But maximizing the full potential of Power BI requires more than just understanding its features – it demands a strategic implementation tailored to your unique business needs.

From expert data modeling and top-notch report development to crafting dynamic dashboards and empowering user training sessions, BI Solusi are here to provide you with end-to-end solutions that not only meet but exceed your expectations. Dive deeper into the world of Power BI Implementation by clicking the button below, and let's embark on this exciting journey together!


BI Solusi is your trusted partner for data-driven success in Indonesia, serving companies in the Southeast Asia region and beyond. We specialize in implementing cutting-edge Data Analytics, Business Intelligence platform, and Big Data solution, complemented by expert Data Science services.


We offer flexible nearshore and offshore BI implementation models to meet your specific needs and deliver the highest-quality results.


Our BI Consulting expertise encompasses Data Integration services (ETL), Data Warehousing, and the utilization of Data Visualization tools such as Microsoft Power BI, Qlik Sense, and Tableau for Reports and Dashboards implementation.


Let us help you unlock the full potential of your data and achieve your business goals.

5,782 views0 comments

Recent Posts

See All


bottom of page