How to use PC00_M31_STATPN - Statistics of illnesses


SAP Transaction Code - Details

  • Transaction Code: PC00_M31_STATPN

    Description: Statistics of illnesses

    Release: S/4HANA and ECC 6

    Menu Path:

    • Human Resources > Payroll > Europe > Slovakia > Follow-up activities > Per payroll period > Lists and reports > Voluntary sickness insurance > Statistics of illnesses
  • Show technical details Hide technical details
    • Program: HSKCABN0

      Screen: 1000

      Authorization Object:

    • Development Package: PC31

      Package Description:

      Parent Package:

    • Module/Component:

      Description:


Smart SAP Assistant

  • SAP Tcode: PC00_M31_STATPN - Statistics of illnesses
    
    Overview: 
    PC00_M31_STATPN is a SAP transaction code used to generate a report that provides statistical information about illnesses. This report can be used to analyze the number of illnesses in a given period of time, as well as the types of illnesses and their frequency. 
    
    Functionality: 
    The PC00_M31_STATPN transaction code allows users to generate a report that provides statistical information about illnesses. This report can be used to analyze the number of illnesses in a given period of time, as well as the types of illnesses and their frequency. The report can also be used to identify trends in illness rates and to compare them with other periods. 
    
    Step-by-step How to Use: 
    1. Enter the transaction code PC00_M31_STATPN into the command field. 
    2. Select the desired period for which you want to generate the report. 
    3. Select the type of illness you want to analyze (e.g., acute, chronic, etc.). 
    4. Select the desired output format (e.g., table, graph, etc.). 
    5. Click “Execute” to generate the report. 
    
    Other Recommendations: 
    It is recommended that users review the generated report carefully before making any decisions based on its results. Additionally, users should consider other factors such as environmental conditions and lifestyle when analyzing illness rates in order to get a more accurate picture of the situation.
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