What is the Box Plot visualisation?
The box plot enables you to understand the distribution of your data (i.e. min, max, median, quartiles etc.), highlight outlier data points for investigation and the density of the data at different values using the violin plot. The boxplot can be used across a wide range of use cases including identifying outliers for epidemic investigations, reporting data quality issues and understanding seasonality of disease burden over time.
To successfully query a box plot, it is very important to use more than one group by and then use the settings tab to ensure you select the correct disaggregation under the setting “Display grouping level”. Try reordering your group bys to change which group by is used to be your “boxes”.
The tooltip of the box plot now shows you the label for all group bys when you hover on a dot. This means if you've grouped by province and each dot is a facility, you will be able to see the facility name.
*Note all data displayed in this manual is publicly available and is not confidential in any way or form.
Updated on: 24/09/2025
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