How To Fix QG_EVAL018 - Data is not suitable for histrogram and is not displayed


SAP Error Message - Details

  • Message type: E = Error

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

  • Message number: 018

  • Message text: Data is not suitable for histrogram and is not displayed

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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.

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Smart SAP Assistant

  • What is the cause and solution for SAP error message QG_EVAL018 - Data is not suitable for histrogram and is not displayed ?

    The SAP error message QG_EVAL018 indicates that the data you are trying to evaluate is not suitable for creating a histogram. This can occur in the context of quality management or data analysis within SAP, particularly when working with quality control charts or statistical evaluations.

    Causes:

    1. Insufficient Data: The dataset may not contain enough entries to generate a meaningful histogram. Histograms require a certain number of data points to provide a valid representation.
    2. Data Type Issues: The data being evaluated may not be numeric or may contain non-numeric values, which are not suitable for histogram creation.
    3. Data Range: The values in the dataset may fall outside the expected range or may be too closely clustered, making it difficult to create distinct bins for the histogram.
    4. Missing Values: If there are missing or null values in the dataset, it can lead to issues in generating a histogram.
    5. Configuration Issues: There may be settings or configurations in the SAP system that are not correctly set up for the evaluation you are trying to perform.

    Solutions:

    1. Check Data Volume: Ensure that there is a sufficient number of data points in the dataset. If the dataset is too small, consider aggregating more data or extending the time frame of the data collection.
    2. Validate Data Types: Ensure that the data you are trying to evaluate is numeric and does not contain any non-numeric entries. Clean the data if necessary.
    3. Review Data Range: Check the range of the data values. If they are too close together, consider adjusting the bin sizes or the method of evaluation.
    4. Handle Missing Values: Identify and address any missing values in the dataset. You may need to fill in missing values or exclude them from the analysis.
    5. Configuration Review: Review the settings and configurations in the SAP system related to the evaluation. Ensure that they are set up correctly for the type of analysis you are performing.
    6. Consult Documentation: Refer to SAP documentation or help resources for specific guidelines on creating histograms and the requirements for the data.

    Related Information:

    • SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional troubleshooting steps.
    • Quality Management Module: Familiarize yourself with the Quality Management (QM) module in SAP, as it may provide additional context for the data you are working with.
    • User Forums: Consider visiting SAP community forums or user groups where similar issues may have been discussed, and solutions shared.

    If the problem persists after trying the above solutions, it may be beneficial to reach out to your SAP support team or a consultant with expertise in SAP QM for further assistance.

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