Excel Guide
How to clean CSV imports in Excel
A CSV that looks fine in a text editor can turn into a single-column mess in Excel. Separators, encoding, and quoting issues are the usual culprits. This guide walks you through diagnosing and fixing them before they corrupt your analysis.
1) Check the delimiter before opening
Excel assumes comma-separated by default, but many exports use semicolons, tabs, or pipes. Opening with the wrong delimiter jams everything into column A.
- Open the CSV in a plain text editor first and look at what separates values.
- European systems often export with semicolons because commas are used as decimal separators.
- Tab-separated files sometimes use .csv extension — the content matters, not the name.
2) Fix encoding problems
Characters like accented letters, currency symbols, or CJK text break when the encoding is wrong. The most common issue is a UTF-8 file opened as Latin-1, or vice versa.
If you see garbled characters after import, the file was decoded with the wrong charset. Re-import specifying UTF-8 explicitly, or convert the file encoding before opening.
3) Handle quoting and escaping
Fields that contain the delimiter character must be quoted. When quoting is inconsistent, columns shift and rows break:
- A comma inside an address field splits it into two columns if the field is not quoted.
- Embedded newlines inside quoted fields can create phantom rows.
- Double-quotes used as escape characters must be paired — a missing quote corrupts every row after it.
4) Convert to XLSX for a clean working copy
Once the CSV is clean, convert it to XLSX to lock in the structure. XLSX preserves column types, avoids re-parsing issues, and is safer to share with colleagues who might open it in different locale settings.
Use this tool
XLSX World's CSV to XLSX converter handles delimiter detection, encoding, and structure automatically.
Open CSV to XLSX ToolWant more practical walkthroughs? Browse all guides for step-by-step fixes to common spreadsheet problems.
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