> For the complete documentation index, see [llms.txt](https://docs.fabricplan.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fabricplan.com/documentation/plan/intelligence-sheets/how-tos/visualization-library/boxplot.md).
# Boxplot
Box plots summarize the distribution of data using quartiles, median, and range. The box represents the interquartile range (middle 50% of values), the line inside the box indicates the median, the whiskers show the overall spread, and any points beyond the whiskers represent potential outliers. The intelligence sheet can calculate the inter-quartile ranges based on the input values provided.
{% hint style="info" %}
Box plots are ideal for comparing the distribution of metrics such as revenue, sales, delivery times, or customer satisfaction scores across regions, products, or time periods.
{% endhint %}
### Configure a boxplot
Follow the steps outlined to create a boxplot:
1. Select the **Charts 100+** visual.
2. **Chart type:** Select **Boxplot** from the **Statistical** section.
3. **Category**: Assign dimensions such as *Month* to plot on the x-axis.
4. **Boxplot**: Add measures to analyze, such as revenue across regions or profit for a product range*.*
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