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How To Fix QG_EVAL021 - View type &1 is only suitable for quantitative data


SAP Error Message - Details

  • Message type: E = Error

  • Message class: QG_EVAL - QM Evaluations Using Graphics and Tables

  • Message number: 021

  • Message text: View type &1 is only suitable for quantitative data

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

    You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.


Smart SAP Assistant

  • What is the cause and solution for SAP error message QG_EVAL021 - View type &1 is only suitable for quantitative data ?

    The SAP error message QG_EVAL021 indicates that the view type specified in your query or evaluation is only suitable for quantitative data. This typically occurs in the context of Quality Management (QM) or similar modules where data types are strictly defined.

    Cause:

    The error arises when you attempt to use a view type that is designed for quantitative data (e.g., numerical values) with data that is not quantitative (e.g., text or categorical data). This mismatch can occur in various scenarios, such as:

    • Using a view type that expects numerical input for a characteristic that is defined as qualitative.
    • Incorrect configuration of the evaluation or query settings.
    • Attempting to analyze or report on data that does not conform to the expected data type.

    Solution:

    To resolve this error, you can take the following steps:

    1. Check View Type: Verify the view type you are using in your evaluation or query. Ensure that it is appropriate for the type of data you are working with. If you are dealing with qualitative data, switch to a view type that supports qualitative analysis.

    2. Review Data Characteristics: Examine the characteristics of the data you are trying to evaluate. Ensure that the data types align with the view type you are using. If necessary, adjust the data or the characteristics to match.

    3. Adjust Query Settings: If you are using a query or report, check the settings to ensure that you are not inadvertently selecting a view type that is incompatible with your data.

    4. Consult Documentation: Refer to SAP documentation or help resources for guidance on the specific view types and their intended use cases. This can provide insights into which view types are suitable for your data.

    5. Seek Help from SAP Support: If you are unable to resolve the issue, consider reaching out to SAP support or your internal SAP team for assistance. They may have additional insights or solutions based on your specific configuration and data setup.

    Related Information:

    • SAP Quality Management (QM): Understanding the QM module and its data types can help in configuring evaluations correctly.
    • Data Types in SAP: Familiarize yourself with the different data types (quantitative vs. qualitative) and how they are used in SAP.
    • SAP Community: Engaging with the SAP community forums can provide additional insights and solutions from other users who may have encountered similar issues.

    By following these steps, you should be able to identify the cause of the error and implement a suitable solution.

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