The aggregated status mentions the main issue detected for a day in a time series.

If only one type of issue has been detected, this issue is mentioned in the Aggregated Status.
If several issue types have been detected, only the issue with the highest priority is mentioned in the Aggregated Status.

The following table shows the issues in order of their priority, the validations, or follow-up action that detected the issues, and the data quality that is assigned to the values during the validation:

Aggregated Status
Priority	Aggregated Status	Definition	Validation / Follow-Up Action that Detected the Issue	Associated Data Quality
1	Values for Suspended Meter	Measurement values have been ingested although the suspended parameter in the SimpleEndDeviceFunction is set to `true` for the related meter. More information: Send information that a meter is suspended	If in exceptional cases measurement data is ingested for a suspended meter, the data is validated and stored, and the app shows the issue Values for Suspended Meter. If a meter is suspended, the Detect Entirely Missing Time Series validation is deactivated for the time period during which the meter is suspended.	No data quality associated with this issue
2	Whole Day Missing	Values are missing for the entire day. Measurement values are expected to arrive after 2 days and 6 hours. If they haven't arrived by then, the app shows an issue.	Detect Entirely Missing Time Series	Missing Value
2	Limit for Whole Day Missing Exceeded	Too many cases have been detected in which values are missing for the entire day. The number of issues resulting from the Detect Entirely Missing Time Series validation is limited to 100,000 issues per day per tenant. If this limit is exceeded, the excess issues are given this label and the validation results are displayed with limited details in the app. Note Use this status as an opportunity to clean up your data by following the suggested solutions described under Detect Entirely Missing Time Series.	Detect Entirely Missing Time Series	Missing Value
3	Incomplete Time Series	One or more values, but not all values for the day, are missing in the time series.	Detect Incomplete Data	Missing Value
4	Implausible Time Series	Values are complete, but one or several of the following issues were detected:	Detect Backflow	Backflow
			Detect Overflow	Overflow
			Detect Consumption Above Threshold	Consumption Above Threshold
5	Threshold for Estimated Values Exceeded	The time series doesn't contain any implausible values, but too many of the values in the time series are estimated values.	After the validation of incoming measurement data, replacement values are automatically created for the intervals with missing values using linear interpolation. If more than 10% of values on that day are estimated values (default setting), this percentage of estimated values is considered an issue. Note You can request to have this threshold changed by submitting a support ticket for the component LOD-C4E-EDS. In the ticket, specify the following information: Your tenant ID The percentage of estimated values in a time series as of which you want this status to be set. More information: Submitting a Support Ticket	Interpolated Value

If you navigate to the validation results, and choose to display the values in a bar chart, the values are shown with their associated data qualities.

For more information about the Aggregated Status and the Solve Issues app in general, see Solve Issues App.

For more information about the validations, see Validations of Measurement Data.