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Add a column of values calculated from other columns in your dataset.

Convert the first row(s) of the input data into column headers.

Map column names from their source name to a desired name.
Add, remove or reorder columns.

Map values from their source value to a desired value. Incorporating Automap Values.

Remove rows with specific column values, typically insignificant rows such as headers, totals and subtotals.

Configure data validation rules and actions.

Pivot, merge and aggregate rows according to the values in a selected column. Define the aggregation method (Sum, Min, Max, Mean) and validate merges are as expected.

Add a column if not already present.

Create new columns containing file and pipeline metadata.

Remove all data before or after a column.

Create a new column combining the content of two or more other columns.

Convert incoming dates to Basic ISO format for use in Quantemplate. Remove invalid dates and replace with blanks. Capture invalid dates in a Validation Report.

Convert dates from Basic ISO format to other formats for use in downstream systems outside Quantemplate.

Replace blanks with the value from the row above.

Convert values from a regional number format so they can be interpreted by Quantemplate e.g. 100.000,00 to 100000.

Consecutively number rows containing matching values.

Take the contents of a column and repeat it in a new column, offsetting the values by one row.

Splits the table according to values in a defined column.

Add a new column containing the row number.

Find and replace characters using Regular Expressions (Regex) pattern matching.

Sort the rows in a dataset by the values in a column.

Split a file vertically on selected columns, stacking each slice horizontally.

Transpose the headers of selected columns into rows in a new column.