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3 pages/≈825 words
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APA
Subject:
Technology
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Essay
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English (U.S.)
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Topic:

Data Validation in Excel (Essay Sample)

Instructions:

There are eight methods of validating data that get into the workbook. These methods include allowing only text or numeric values, allowing numbers within particular ranges, date and time restriction, and entries restriction to a choice from the drop-down list. Data validation based on another cell, display of when the cell is selected, identifying incorrect entries, and displaying a warning message on entering a wrong figure is also used. Data validation is important as it ensures clarity and accuracy, key in mitigating possible defects during the project. Lack of data validation can lead to bias decisions. The data presented should precisely represent the stated problem. Moreover, data validation will eliminate issues that arise when using data files in different software and applications. Such issues are likely to occur if the data model is not developed appropriately

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Content:


Data Validation
Name
Institution
Data Validation
Data validation is an Excel feature that is utilized to regulate what can be entered into the cells by the user. Validation of data is the most significant step in data handling whether one is doing analysis or in the field collecting necessary information. The outcomes will be accurate if the data correct from the beginning.
Data validation is important as it ensures clarity and accuracy, key in mitigating possible defects during the project. Lack of data validation can lead to bias decisions. The data presented should precisely represent the stated problem. Moreover, data validation will eliminate issues that arise when using data files in different software and applications. Such issues are likely to occur if the data model is not developed appropriately. Validating data models and verifying data inputs play a crucial role in getting accurate results (Broman and Woo, 2018). Besides, data validation determines how the data can be used. Both the content and the structure of the data determine the extent of its application. Finally, data validation ensures the legitimacy of conclusion due to integrity of data. An individual or organization is confident to utilize the finding if the data was validated.
There are eight methods of validating data that get into the workbook. These methods include allowing only text or numeric values, allowing numbers within particular ranges, date and time restrictio

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