What is data cleanup in Google Sheets?
Data Cleanup is a data cleanup or sheet operation in Google Sheets: trimming text, splitting columns, removing duplicates, or fixing separators. Cleanup steps usually happen before analysis formulas run.
When to use it
Use cleanup tools when imported data has extra spaces, mixed types, or duplicate rows.
When to skip it
Skip one-off cleanup when the source system can export clean columns in the first place.
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Guides that explain data cleanup in more depth.
Discover Misspelled Duplicates
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Read post →Automate Row Deletion in Google Sheets with Apps Script
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Read post →Related glossary terms
normalizing data in Sheets
Normalizing means making inconsistent inputs follow one reliable shape: same date format, trimmed text, unique keys, one fact per row, and separate columns for categories that were crammed into one field. Clean data makes VLOOKUP, QUERY, and dashboards dependable.
Read guide →filters in Google Sheets
Filtering hides rows that do not match criteria without deleting data. The filter toolbar on a header row is the fastest UI path. FILTER and QUERY formulas build dynamic views that update when source data changes, which suits dashboards and reporting tabs.
Read guide →duplicate rows and tabs
Duplicating inside a workbook means copying a sheet tab or repeating row data for another entry. Right-click a tab and choose Duplicate to clone an entire sheet with formulas adjusted for the new tab name. For rows, copy-paste or drag-fill copies values and formats, which is fast but risky for unique IDs unless you regenerate keys in a helper column.
Read guide →Done reading about data cleanup?
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