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"What is the best way to document and organize sequences in programming or data analysis?"
Document sequences are critical for maintaining an audit trail in programming and data analysis, allowing for traceability from the general ledger to the original document.
There are two types of document sequences: automatic and manual.
Automatic sequences assign a unique number to each document, while manual sequences require manual numbering.
Document sequences can be set up by creating a document sequence category and assigning the sequence to one or more document sequence categories, along with specific ledgers or legal entities.
Enabling the Audit option stores audit information in the AP\_DOC\_SEQUENCE\_AUDIT table, providing a more detailed trail for documentation.
Document sequences can be used for various purposes, such as tracking transactions, document versions, or workflows.
In programming, document sequences can be used in sequence diagrams, which visually represent the interactions between objects or components in a system.
Sequence diagrams use vertical lifelines to represent objects and horizontal arrows to represent messages or method calls between objects.
Sequence diagrams can help in understanding complex systems, identifying design flaws, and improving code quality.
Document sequences can also be used in version control systems, such as Git, to track changes made to code or documents.
Version control systems use a commit message, along with a unique identifier, to document each change made to the code or document.
Document sequences can be exported to various formats, such as Excel, allowing for further analysis and reporting.
Document sequences can also be visualized using various tools and libraries, such as PlantUML or Mermaid, which convert textual diagrams to graphical representations.
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