Excel Data Cleaning I Use on Every File

Key insights

• Common messy-data issues: Numbers or dates stored as text, extra or trailing spaces, inconsistent names, blank rows, embedded totals and duplicate rows cause silent errors in formulas and PivotTables.
  Fixing these items stops subtle calculation and grouping mistakes.
• Start with a repeatable workflow: Make a backup copy, inspect for merged cells or blank rows, and convert the range into an Excel Table so columns stay consistent and formulas fill down automatically.
  Working in a table reduces accidental range errors later.
• Quick built-in fixes: Use TRIM to remove extra spaces, Find and Replace to standardize text, Text to Columns to convert text dates, and Excel’s Error checking to locate numbers stored as text.
  Use Remove Duplicates with all columns checked and Ctrl+Enter to fill blank cells efficiently.
• Transform with helpers and modern tools: Clean with helper columns, then paste values to preserve results. For repeatable or large transforms, use Power Query and modern functions like TEXTSPLIT and UNIQUE to split, reshape, and deduplicate data faster.
• Validate your cleanup: Use an ISNUMBER check (double unary converts TRUE/FALSE to 1/0) and a PivotTable to compare sums and counts so you can prove every value is the expected type.
  Always confirm totals and expected patterns before analysis.
• Why this matters: Clean, standardized data produces reliable analysis and repeatable results. Following these steps saves time when the same messy export returns regularly and makes downstream charts and formulas trustworthy.

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