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Message type: E = Error
Message class: AIS_STDREP - Messages for Standard Reporting on Results Database
Message number: 100
Message text: x-axes are different
This diagram contains two diagrams that overlap. For this reason there
are two x-axes. These axes are not identical.
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
Check how the data was added to the diagram.
Error message extract from SAP system. Copyright SAP SE.
AIS_STDREP100
- x-axes are different ?The SAP error message "AIS_STDREP100: x-axes are different" typically occurs in the context of SAP Analytics Cloud (SAC) or SAP BusinessObjects when you are trying to create a report or visualization that involves multiple data sources or datasets that have incompatible x-axes. This can happen when the x-axes of the datasets being combined or compared do not align properly, leading to issues in rendering the visualization.
Cause:
- Different Data Types: The x-axes of the datasets may have different data types (e.g., one is a date and the other is a string).
- Inconsistent Time Periods: If you are trying to compare data over different time periods (e.g., one dataset has monthly data while another has weekly data).
- Mismatched Categories: If the categories or dimensions used for the x-axis are not the same across the datasets.
- Aggregation Levels: Different levels of aggregation can lead to discrepancies in the x-axes.
Solution:
- Align Data Types: Ensure that the data types of the x-axes are the same across all datasets. For example, if one dataset has dates, make sure all datasets use date formats.
- Standardize Time Periods: If you are working with time-based data, ensure that all datasets cover the same time periods. You may need to aggregate or filter data to match the time frames.
- Consistent Categories: Make sure that the categories or dimensions used for the x-axis are consistent across datasets. If necessary, create a common dimension that can be used in all datasets.
- Check Aggregation Levels: Ensure that the level of aggregation is the same for all datasets. If one dataset is aggregated at a monthly level and another at a daily level, you may need to adjust one of them to match.
- Data Preparation: Use data preparation tools or features in SAP to clean and transform your data before creating the report. This can help ensure that the datasets are compatible.
Related Information:
By addressing the underlying causes of the error, you should be able to resolve the issue and successfully create your report or visualization.
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