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Formula Errors

Excel Formula to Validate Imported Square-Footage Data

Steve KSteve K Sep 27, 2026 869 views

Question details

The user needs to validate inconsistent square-footage data imported into Excel by converting text formats to numeric values, ignoring entries below a specific threshold, and handling text units like acres and square feet.

How to Validate Imported Square-Footage Data with Excel Formulas
Product
Excel
Device & OS
not provided
Scenario
Importing measurement or real estate data from external sources (like an MLS) where the numeric data contains formatting inconsistencies, text units, or irrelevant low values.
Observed behavior
Imported numbers are stored as text, include unwanted unit strings like "ac" or "sqft", or fall below acceptable validation thresholds, preventing accurate calculations.
Before you start

Before applying these formulas, identify the exact sheet name and cell reference of your imported data (e.g., sheet 'Imp-MLS', cell E29) to ensure the formulas reference the correct source.

Solution 1Recommended

Convert Text Entries to Numeric Values and Return Blanks for Errors

Use this basic validation formula to ensure that numbers stored as text are converted to valid numeric data, while entirely invalid entries are replaced with a blank cell.

Imported data often stores numbers as text, which prevents mathematical operations. Using the double unary operator (--) forces Excel to evaluate the text as a number. If it is a valid number, it keeps it; otherwise, it returns a blank.

1
Select a destination cell

Click on an empty cell in your active sheet where you want the validated data to appear.

2
Enter the ISNUMBER formula

Type the formula: =IF(ISNUMBER(--'Imp-MLS'!E29),--'Imp-MLS'!E29,"") into the formula bar. Replace 'Imp-MLS'!E29 with your actual sheet name and cell reference.

3
Apply and fill down

Press Enter to calculate the result. Click the bottom-right corner of the cell and drag it down to apply this validation to the rest of your imported data column.

Convert Text Entries to Numeric Values and Return Blanks for Errors
Data Type Consistency: If your data is already correctly formatted as numbers and you just want to filter anomalies, you can omit the double dashes and use =IF(ISNUMBER('Imp-MLS'!E29),'Imp-MLS'!E29,"").
Advanced Data Validation in WPS Spreadsheet

Clean and Validate Data Efficiently Using WPS Office

WPS Spreadsheet provides comprehensive support for advanced Excel functions, including LET, SUBSTITUTE, and ISNUMBER. You can effortlessly clean up imported datasets, strip unwanted text strings, and validate numerical thresholds using a lightweight and user-friendly interface.

  1. 1. Open your imported dataset: Launch WPS Spreadsheet and open the file containing your raw imported data.
  2. 2. Insert the validation formula: Select an empty column and type in your preferred data cleaning formula, utilizing functions like ISNUMBER or SUBSTITUTE.
  3. 3. Drag to fill the column: Click the small square at the bottom-right of the active cell and drag it downward to apply the validation logic to the entire dataset.
100% compatibility with Microsoft Excel formats (.xlsx, .xls)Full support for modern dynamic array functions and LET formulasLightweight application that processes large imported datasets quicklyBuilt-in data evaluation tools for seamless data cleaning
microsoft office alternative - wps office

Frequently Asked Questions

What does the double dash (--) do in an Excel formula?

The double dash, known as a double unary operator, is used to convert numbers that are stored as text into actual numeric values. The first dash converts the text to a negative number, and the second dash converts it back to positive, allowing Excel to use it in calculations.

Why do imported numbers often behave like text?

When importing data from external databases, web forms, or MLS platforms, the formatting is often generalized as plain text to preserve trailing spaces or special characters. Excel treats these cells as text strings until they are explicitly converted to numeric formats.

How does the LET function improve data cleaning formulas?

The LET function allows you to assign names to calculation results within a formula. In data cleaning, you can define a cleaned text string as a variable (like 'v') and then reuse that variable multiple times in subsequent IF or ISNUMBER statements, making the formula shorter and faster to calculate.