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Comma-separated values (CSV) is a text format for representing tabular records: commas separate fields, and line breaks separate records under a widely used convention. A comma inside a value does not necessarily mark a new field, because CSV uses quoting to preserve commas, quotes, and line breaks within a field.
What does CSV mean?
CSV stands for “comma-separated values.” A CSV file stores data as text arranged in records and fields, making it a common way to exchange tabular data between spreadsheet and database software. The IETF’s RFC 4180 describes a commonly followed format convention and registers the media type text/csv.
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CSV is not a spreadsheet file with formatting, formulas, or multiple sheets. It represents the contents as text values arranged in rows and columns; what an application does with those values when it opens or imports the file depends on that application.
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In the RFC 4180 convention, commas separate fields and CRLF line breaks separate records. If a field itself contains a comma, a double quote, or a line break, it is enclosed in double quotes. A double quote inside a quoted field is written twice.
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| Value to represent | CSV example | What it means |
|---|---|---|
| Two ordinary fields | Red,12 |
The comma separates the fields “Red” and “12.” |
| A comma inside one field | "Portland, Oregon" |
The quotes keep the comma within one field. |
| A quote inside one field | "She said ""hello""" |
The doubled quote represents one literal quote character. |
| A line break inside one field | "First line |
The quoted value continues across the line break instead of starting a new record. |
These examples illustrate the RFC 4180 convention, not a guarantee that every application will interpret every CSV file identically. In particular, do not parse CSV by simply splitting every physical line at each comma: quoted fields can contain commas and line breaks.
Does a CSV file need a header row?
No. A header row is optional. A file may begin with column names, such as name,score, or with data records directly. RFC 4180 permits either; its media-type registration includes an optional parameter to indicate whether a header is present.
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Spaces are part of field values under the RFC convention. For example, North, West has a second field that begins with a space; software should not assume that spaces around values are automatically removed.
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RFC 4180 documents a widely followed convention, but it is informational and says it does not specify an Internet standard. CSV implementations can therefore differ. The Python 3.14.7 CSV documentation likewise describes dialect variation and software-specific settings.
When importing or processing a file, check the characteristics expected by the application that created it and the one reading it:
- Delimiter: A file described as CSV may use a delimiter other than a comma in a particular software or regional setup.
- Quoting and escaping: Confirm how fields containing delimiters or quote characters are enclosed and escaped.
- Line endings: Record separators may differ; RFC 4180 describes CRLF.
- Header presence: Establish whether the first record contains column names or data.
- Character encoding: Make sure the reader interprets the file’s text using the intended encoding.
For programmatic processing, use a CSV-aware parser and configure it for the file’s dialect rather than splitting raw text yourself. The exact settings depend on the file and the software producing it; Python is one example of documentation that explains dialect configuration, not a requirement for using CSV.
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What is RFC 4180’s status?
RFC 4180 was published by the IETF in October 2005 under the title “Common Format and MIME Type for Comma-Separated Values (CSV) Files.” Its status section explicitly says: “This memo provides information for the Internet community. It does not specify an Internet standard of any kind.” It is useful as a reference for a common CSV convention, while actual file handling still depends on the dialect supported by the applications involved.
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