Page tree


Contents:

NOTE:  Designer Cloud powered by Trifacta Educational is a free product with limitations on its features. Some features in the documentation do not apply to this product edition. See Product Limitations.

   

Computes the minimum value found in all row values in a Datetime column.

If a row contains a missing or null value, it is not factored into the calculation. If no Datetime values are found in the source column, the function returns a null value.

Wrangle vs. SQL: This function is part of Wrangle , a proprietary data transformation language. Wrangle is not SQL. For more information, see Wrangle Language.


Basic Usage

mindate(myDates)

Output: Returns the minimum Datetime value from the myDates column.

Syntax and Arguments

mindate(function_col_ref)


ArgumentRequired?Data TypeDescription
function_col_refYstringName of column to which to apply the function


For more information on syntax standards, see Language Documentation Syntax Notes.

function_col_ref

Name of the column the Datetime values of which you want to calculate the minimum date.

  • Column must contain Datetime values.
  • Literal values are not supported as inputs.
  • Multiple columns and wildcards are not supported.

Usage Notes:

Required?Data TypeExample Value
YesDatetime (column reference)datTransactions


Examples


Tip: For additional examples, see Common Tasks.

This example shows how you can apply statistical functions on Datetime columns.

Functions:

ItemDescription
MINDATE Function Computes the minimum value found in all row values in a Datetime column.
MAXDATE Function Computes the maximum value found in all row values in a Datetime column.
MODEDATE Function Computes the most frequent (mode) value found in all row values in a Datetime column.

Source:

The following dataset contains a set of three available dates for a set of classes:

classIdDate1Date2Date3
c0012020-03-092020-03-132020-03-17
c0022020-03-092020-03-062020-03-21
c0032020-03-092020-03-162020-03-23
c0042020-03-092020-03-232020-04-06
c0052020-03-092020-04-092020-05-09
c0062020-03-092020-08-092021-01-09

Transformation: 

To compare dates across multiple columns, you must consolidate the values into a single column. You can use the following transformation to do so:

Transformation Name Unpivot columns
Parameter: Columns Date1,Date2,Date3
Parameter: Group size 1

The dataset is now contained in three columns, with descriptions listed below:

classIdkeyvalue
Same as previous.DateX column identifierCorresponding value from the DateX column.

You can use the following to rename the value column to eventDates:

Transformation Name Rename columns
Parameter: Option Manual rename
Parameter: Column value
Parameter: New column name eventDates

Using the following transformations, you can create new columns containing the min, max, and mode values for the Datetime values in eventDates:

Transformation Name New formula
Parameter: Formula type Single row formula
Parameter: Formula MINDATE(eventDates)
Parameter: New column name earliestDate

Transformation Name New formula
Parameter: Formula type Single row formula
Parameter: Formula MAXDATE(eventDates)
Parameter: New column name latestDate

Transformation Name New formula
Parameter: Formula type Single row formula
Parameter: Formula MODEDATE(eventDates)
Parameter: New column name mostFrequentDate

Results:

classIdkeyeventDatesmostFrequentDatelatestDateearliestDate
c001Date12020-03-092020-03-092021-01-092020-03-06
c001Date22020-03-132020-03-092021-01-092020-03-06
c001Date32020-03-172020-03-092021-01-092020-03-06
c002Date12020-03-092020-03-092021-01-092020-03-06
c002Date22020-03-062020-03-092021-01-092020-03-06
c002Date32020-03-212020-03-092021-01-092020-03-06
c003Date12020-03-092020-03-092021-01-092020-03-06
c003Date22020-03-162020-03-092021-01-092020-03-06
c003Date32020-03-232020-03-092021-01-092020-03-06
c004Date12020-03-092020-03-092021-01-092020-03-06
c004Date22020-03-232020-03-092021-01-092020-03-06
c004Date32020-04-062020-03-092021-01-092020-03-06
c005Date12020-03-092020-03-092021-01-092020-03-06
c005Date22020-04-092020-03-092021-01-092020-03-06
c005Date32020-05-092020-03-092021-01-092020-03-06
c006Date12020-03-092020-03-092021-01-092020-03-06
c006Date22020-08-092020-03-092021-01-092020-03-06
c006Date32021-01-092020-03-092021-01-092020-03-06

See Also for EXAMPLE - Date Functions - Min Max and Mode:

This page has no comments.