Docs
Browse Docs
Field guide · Numbers and units

Mixed currencies

Amounts in one column are in different currencies, marked by a symbol, a code, or nothing at all.

What it looks like

Before
amountcurrency
$1,200·
€950·
1200 USD·
£400·
780·
After
amountcurrency
1200.00USD
950.00EUR
1200.00USD
400.00GBP
780.00needs a decision
Nothing is converted. The currency moves to its own column, and the bare 780 is not assumed to be dollars. The dollar sign is read as US dollars here only because the source is known; several currencies use that sign.

How it happens

  • Sales, expenses, or donations from several countries were gathered in one sheet.
  • The currency was shown by cell formatting, which does not survive export to plain text.
  • One office assumed its own currency was understood and left the marker off.

What it breaks

  • A total adds amounts that are not comparable, and the result means nothing.
  • Rankings and thresholds favor whichever currency has the larger numbers.
  • Symbols in the cell make the column text, so calculations skip those rows.

How to spot it

  • Search the column for currency symbols and three-letter codes, and count the rows that have neither.
  • Compare the range of amounts by country or office. One group far above or below the rest suggests a different currency.
  • Check whether another column, such as country or billing entity, implies a currency the amount does not state.

How to fix it

  • Split each cell into a plain number and a currency code in its own column.
  • Settle unmarked amounts from the source, not from the size of the number.
  • Convert only if a single currency is truly needed. Conversion needs an exchange rate and the date it applies to, and both come from outside the file.
  • Keep the original amount and currency alongside any converted figure.

TermsCurrency code, Unit of measure, Standardization, Parsing

Karg checks for many of these when it profiles a file, applies the fixes it is confident about, and sets the rest aside for your review. See how it works, or have our team clean your data for you.