How To Fix QE722 - The data for the histogram is inconsistent


QE722 - Overview

  • Message type: E = Error

  • Message class: QE - RM-QSS Fehlertexte zur Ergebniserfassung

  • Message number: 722

  • Message text: The data for the histogram is inconsistent

  • Show details Hide details
  • What causes this issue?

    The data for the histogram is inconsistent. For this reason, the
    histogram could not be constructed.
    Examples
    The classification is not carried out in
    ascending order for a characteristic with a classed recording.
    The class width of a characteristic with a classed recording is less
    than zero.
    When you called up the function module, no suitable table was
    transferred.
    When you called up the function module, more than one table was
    transferred.

    System Response

    Processing was canceled. A histogram could not be constructed.

    How to fix this error?

    Contact your system administrator. There is probably a fault in the
    programming.

    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message QE722 - The data for the histogram is inconsistent ?
    The SAP error message QE722, which states "The data for the histogram is inconsistent," typically occurs in the context of Quality Management (QM) when dealing with histograms in the context of quality control data. This error indicates that there is an inconsistency in the data that is being used to generate the histogram, which can prevent the system from displaying or processing the histogram correctly.
    Causes:
    
    Data Integrity Issues: There may be missing or corrupted data in the quality inspection records or the data used to generate the histogram.
    Incorrect Configuration: The configuration settings for the histogram or the quality management module may not be set up correctly.
    Inconsistent Data Types: The data being analyzed may have inconsistent formats or types, leading to issues when the system attempts to process it.
    Missing Master Data: Required master data (like material master or inspection plan) may be incomplete or missing.
    Database Issues: There could be underlying database issues,

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