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

Splits the table according to values in a defined column.

Create a new column with the content of multiple other columns.

Change values to a regional number format, e.g. 100,000 to 100.000

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

Replace blanks with the value from the row above.

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.

Create a new column with the name of the file from which the row originated. This is useful when the file name contains important information such as reporting date, and can be used for tracing data errors.

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

Extract data from a column using regular expressions

Aggregate rows according to the values in a selected column. Define the aggregation method (Sum, Min, Max, Mean). Creates a new output of the aggregated data.

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

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.

Configure data validation rules and actions.

Script to split a file vertically on selected columns, stacking each slice horizontally.