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How to Check Data Entered in a Cell in Excel

Learn how to check Data Entered in a Cell in Excel with clear steps, practical tips, and key considerations for completing the task safely and efficiently.

Table of Contents

This guide explains how to check Data Entered in a Cell in Excel, with clear steps, practical tips, and important checks before you begin.

For example, want to check that the data entered in the birth year column has a value between 1993 and 1999.

How to Check Data Entered in a Cell in Excel screenshot

Step 1: Highlight the cell to check the data entered -> DATA -> Data Tools -> Data Validation -> Data Validation .

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Step 2: The dialog box appears on the Settings tab in the Allow section, click Whole number .

How to Check Data Entered in a Cell in Excel screenshot 3

Step 3: After selecting the Whole number and the Minimum and maximum properties displayed -> enter the value of the minimum year of birth in the Minimum field and the maximum year of birth in the section Maximum -> OK .

How to Check Data Entered in a Cell in Excel screenshot 4

Step 4: Switch to the Input Message tab in the Title field, enter a title for the notification, in the Input Message field enter the content of the message -> click OK .

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Now when you move the mouse towards the cell to enter the year of birth, the message displays:

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When you enter the year of birth data outside the range of 1993 to 1999 display the error message -> click Cancel to re-enter the data.

How to Check Data Entered in a Cell in Excel screenshot 7

Above is how to check data entered in Excel cell.

Good luck!

FAQ

What should I know about Check Data Entered in a Cell?

Focus on the key features, requirements, limitations, and practical use cases explained in this guide.

How do I get the best results with Check Data Entered in a Cell?

Follow the recommended steps, use current software or information, confirm compatibility, and review settings before major changes.

Are there any risks or limitations?

Potential limitations depend on compatibility, data quality, cost, privacy, support, and how the product or method is used.

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