data entry mistakes

What are the Common Types of Data Entry Mistakes?

1. Typographical Errors: Simple keystroke mistakes can alter data values, such as entering "55" instead of "5".
2. Misclassification: Incorrectly categorizing data, such as listing a patient with a non-communicable disease under infectious diseases.
3. Omission Errors: Failing to enter data points, leading to incomplete datasets.
4. Duplication: Entering the same data point multiple times, which can skew results.
5. Transcription Errors: Mistakes made while manually copying data from one source to another.

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