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Visualizer
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Single value: legend sets and icons [v40]
Now it’s even easier to explore your data within DHIS2! With this feature, you can create your own custom calculations directly in the Data Visualizer application for pivot tables. This means you no longer need to have admin access or create new indicators to play around with your own personal data expressions. Plus, the custom calculation is automatically saved to the pivot table in which it was created, without cluttering up your configuration with additional saved indicators. This feature is perfect for things like exploring coverage calculations with various population denominators or making quick and simple sums. Video | JiraLegend colours can now be applied to the background of a single value chart, allowing to more easily render performance current value based on a traffic-light like scale.
Additionally, you can also add an icon to the single value element.
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Legend sets for stacked column charts [v40]
Spice up your data visualizations visualisations with a new feature that allows legends to be applied to column charts! This makes it easier to see how indicators are performing at a glance. Jira
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On-the-fly custom calculations in Data Visualizer [v40]
Now, legend colors can be applied to the background of a single value chart, making the performance of the value more obvious and visually engaging. This feature helps users quickly understand the significance of the value and its relation to the legend colors. Jira
Indicator icons for single value charts [v40]
Want to add some personality to your data? Now, icons can be shown in single value charts to represent the indicator being used. For example, if you’re tracking total malaria cases, you can choose a mosquito icon to visually communicate what the value represents. This feature will also be added for data elements in the near future. Jiraaka “Personal Indicators”
You can now create your own custom calculations directly in the Data Visualizer app bypassing the need to create new indicators to play around with your own data expressions. Video | Documentation
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Maps
Multiple org unit geometries [2.39]
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Scheduled date is made available as a time dimension in the Line Listing app. You can now present or filter data by scheduled date. Video | Screenshot | Jira
others
Maximum/Minimum (sum org unit) aggregation
Defines two new aggregation types that allow the maximum, or minimum, value of a data element within each organisation unit, summed across organisation units.
New predictor functions for computing probability
In supply chain applications, knowing the probability of a stock out is crucial. With the new predictor functions for normDistCum and normDistDen, you can compute the probability of a stock out for normally distributed stock consumption. These functions provide the equivalent of Excel NORM.DIST() and LibreOffice NORMDIST() and allow you to calculate the probability density function (PDF) and cumulative distribution function (CDF) for a given mean and standard deviation.
Efficiently create multiple predictors with data element groups
Streamline your work with predictors by applying them to data element groups. This time-saving feature allows you to make multiple predictors, based on the data elements in a group, from a single definition. For instance, if you’re tracking data for multiple commodities in supply chain, simply apply the predictor to the data element group for each commodity to produce the necessary values.
Predictions by Disaggregation
A single predictor can be used to independently predict every disaggregation of an output data element based on the same disaggregations of data in the predictor generator expression.