Sorry, your CSV did not pass validation. Please review the errors and warnings below:
Total Rows Processed = 10Download Standardised CSV
Context problem: Incorrect content type
Your CSV file is being delivered with an incorrect
We recommend that you configure your server to deliver CSV files with a
Content-Type header of
Structural problem: Unexpected whitespace on row 1
<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML 2.0//EN">
Quoted columns in the CSV should not have any leading or trailing whitespace.
Remove any spaces, tabs or other whitespace from either side of the delimiters in the row.
Structural problem: Missing Columns on row 9
<p>Additionally, a 403 Forbidden
Row 9 contains a different number of columns to the first row in the CSV file.
This may indicate a problem with the data, e.g. an incorrectly escaped value, or that you are mixing together different tables of information.
Dialect: Non standard dialect
Although your CSV validates, to make it as easy as possible for your data to be reused, we recommend using commas as delimiters, double quotes to enclose fields, and autodetecting line endings.
Structural problem: Possible title row detected
Your CSV seems to contain unstructured text at the beginning of the file.
It is important that your CSV only contains structured data - any background information or metadata should be included on a referring web page or accompanying document.
Structural problem: Check CSV parsing options
Your CSV file appears to only contain a single column. This may indicate that it is being incorrectly parsed.
We recommend using commas as delimiters and escaping values in columns where necessary.
Context problem: Incorrect Encoding
Your CSV appears to be encoded in
UTF-8. We recommend you use
Structural problem: Non-standard Line Breaks on row 1
Your CSV appears to use
LF line-breaks. While this will be fine in most cases, RFC 4180 specifies that
CSV files should use
CR-LF (a carriage-return and line-feed pair, e.g.
\r\n). This may be labelled as "Windows line endings" on some systems.
Publish and transform your data using DataGraft, either as enhanced CSV or Linked Data.