Enterprise docs

Data Inspections

When loading your file into data.world, the following warnings may be generated. These warnings will only be visible to the dataset owner and any contributors with write access to the dataset.

Warnings are informational only and may be ignored.

Country name/abbreviation actually exists

This cell doesn't contain a valid country name

State name actually exists

This cell doesn't contain a valid state name

State abbreviation actually exists

This cell doesn't contain a valid state abbreviation

Mostly numeric columns with rare (non-N/A) text

This value doesn't look like a number

Occasional percentage or currency numbers

This value doesn't look like a number

Numeric outlier

This number looks way too [big or small]

Likely noise numbers

This number looks like a placeholder

Numeric truncation

Possible Numeric Truncation

Social security numbers

This column may contain social security numbers

Credit card numbers

This column may contain credit card numbers

Phone numbers

This column may contain phone numbers

Email addresses

This column may contain email addresses

Empty Columns

This column is blank

Duplicate Rows

This row is a duplicate of the one above it.

Likely row truncation

Possible row truncation. The number of characters in this row could indicate that some amount of data was clipped.

Likely column truncation

Possible column truncation. The number of characters in a given field could indicate that some amount of data was clipped.

Suspiciously round numbers of rows

Suspiciously round number of rows. I.e. exactly 1000 rows. Perhaps this isn’t the full data, but rather a subset.

Rare blank cells in columns

A column which contains mostly filled values has some small number left blank.

String truncation

Possible string truncation.

Likely noise text

This text looks like a placeholder (i.e. qwerty, asdf)

String length outlier

This text looks [longer or shorter] than the rest