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CSV & Spreadsheet Data Quality

The Most Common CSV Errors and How to Fix Them

CSV files fail imports for the same reasons over and over. Here are the most common CSV errors, why they happen, and exactly how to fix each one.

CSV files are deceptively simple. They look like just text with commas. But they break imports, trigger system errors, and corrupt data in predictable ways — the same errors, over and over, in file after file. Here's the definitive list.

Error 1: Delimiter Confusion

What it is: A CSV that uses semicolons, tabs, or pipes as delimiters instead of commas. Or a CSV where values contain commas that weren't properly quoted, causing fields to be split incorrectly.

How to spot it: Open the file in a text editor. Look for lines that appear to have the wrong number of columns.

How to fix it: In Excel, use Data > Text to Columns and specify the correct delimiter. Or open with a tool that lets you specify the delimiter before parsing.

Error 2: Encoding Issues

What it is: Special characters (accented letters, currency symbols, quotes, em dashes) that display as garbled characters (é, â€, ’). Usually caused by a UTF-8 vs. Latin-1 encoding mismatch.

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How to spot it: Open the file in a text editor and look for unexpected character sequences.

How to fix it: Save or convert the file explicitly to UTF-8 encoding. Most modern tools handle UTF-8 correctly.

Error 3: Extra Rows at the Top or Bottom

What it is: Summary rows, report headers, or blank rows at the top or bottom of the file that aren't data — but get imported as if they are.

How to spot it: Open the file and check whether the first row is truly the column header and the last row is truly the last data row.

How to fix it: Delete non-data rows before importing.

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Error 4: Mixed Date Formats

What it is: A date column where some rows use MM/DD/YYYY, some use DD/MM/YYYY, some use YYYY-MM-DD, and some use written-out dates. Most systems require consistent formatting.

How to spot it: Profile the date column and look for multiple distinct patterns.

How to fix it: Standardize all dates to one format (ISO 8601: YYYY-MM-DD is most universally compatible) before importing.

Error 5: Quoted Fields with Embedded Commas

What it is: A company name like "Smith, Jones & Associates" contains a comma. If it's not properly quoted in the CSV, the import treats it as two separate fields.

How to spot it: Rows with company names, descriptions, or free-text fields that contain commas will show an unexpected number of columns.

How to fix it: Ensure all fields containing commas are wrapped in double quotes. A properly formatted CSV handles this automatically.

Error 6: Trailing Spaces and Invisible Characters

What it is: Extra spaces at the end of values, invisible characters (zero-width spaces, byte order marks), or line endings that differ across operating systems.

How to spot it: Values that look identical but don't match in lookups or joins are often affected by trailing spaces.

How to fix it: Use TRIM() in Excel to remove leading/trailing spaces. Use a text editor with visible whitespace to identify invisible characters.

Sohovi detects many of these errors automatically when you upload a CSV — flagging encoding issues, format inconsistencies, and suspicious patterns before you import the file into any system.

Selva Santosh

Data quality, for people who ship

Selva writes practical guides on data quality, profiling, and governance to help teams ship better data.

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