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Non-duplicate

A 'non-duplicate' item or element is one that does not have an identical counterpart or replica within a specific set, collection, or context. It signifies uniqueness and originality, emphasizing the absence of repetition or redundancy. This characteristic is crucial in various fields, ensuring data integrity, preventing errors, and preserving individuality. It is the quality of being distinct and not replicated, particularly valuable when establishing identity and tracking unique instances. It is often used when sorting through vast sets of data and finding out which elements are completely novel.

Non-duplicate meaning with examples

  • When cataloging books in a library, a 'non-duplicate' entry ensures that each title and edition are represented only once, avoiding confusion and inaccurate counts. The library system ensures that only unique ISBNs are accepted. This prevents double-booking and accurately reflects the inventory.
  • In a database of customer records, each entry must be a 'non-duplicate' to prevent issues such as sending multiple mailers, inaccurate billing, or inconsistent data. A 'non-duplicate' entry means one customer and one associated record, not two. This prevents multiple records for one person.
  • During data analysis of a survey, ensuring 'non-duplicate' responses is critical for accurate results. Each participant should contribute only once to the dataset. Any attempt to include a duplicate respondent will get blocked during the cleansing stage of the data.
  • In a software system for managing invoices, each invoice needs to be a 'non-duplicate' to prevent payment processing errors and maintain accurate financial records. This is imperative so that the system does not send the same invoice to the same client twice. A 'non-duplicate' entry protects against any kind of accounting errors.
  • When creating a list of unique website visitors, each IP address should be marked as 'non-duplicate' to accurately track traffic. That way the system counts unique visits and avoids falsely inflated visitor numbers, and avoids misrepresenting its online traffic metrics and providing an inaccurate report.

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