Computes the rolling mode (most common value) forward or backward of the current row within the specified column. Input values can be Integer, Decimal, or Datetime data type.

For more information on a non-rolling version of this function, see MODE Function.

Column example:

rollingmode(myCol)

Output: Returns the rolling mode of all values in the myCol column.

Rows before example:

rollingmode(myNumber, 3)

Output: Returns the rolling mode of the current row and the three previous row values in the myNumber column.

Rows before and after example:

rollingmode(myNumber, 3, 2)

Output: Returns the rolling mode of the three previous row values, the current row value, and the two rows after the current one in the myNumber column.     

rollingmode(col_ref, rowsBefore_integer, rowsAfter_integer) order: order_col [group: group_col]


ArgumentRequired?Data TypeDescription
col_refYstringName of column whose values are applied to the function
rowsBefore_integerNintegerNumber of rows before the current one to include in the computation
rowsAfter_integerNintegerNumber of rows after the current one to include in the computation

For more information on the order and group parameters, see Window Transform.

col_ref

Name of the column whose values are used to compute the function. 

NOTE: If the input is in Datetime type, the output is in unixtime format. You can wrap these outputs in the DATEFORMAT function to generate the results in the appropriate Datetime format. See DATEFORMAT Function.

Multiple columns and wildcards are not supported.

Required?Data TypeExample Value
YesString (column reference to Integer or Decimal values)myColumn

rowsBefore_integer, rowsAfter_integer

Integers representing the number of rows before or after the current one from which to compute the rolling function, including the current row. For example, if the first value is 5, the current row and the five rows before it are used in the computation. Negative values for k compute the rolling average from rows preceding the current one.

Required?Data TypeExample Value
NoInteger4

Example - Counting most common coin flips

In the following table, 20 coin flips are tabulated. You want to capture a rolling evaluation of the most common value.

Source:

TurnResult
1heads
2heads
3tails
4heads
5heads
6tails
7tails
8heads
9tails
10heads
11tails
12heads
13tails
14heads
15heads
16tails
17tails
18tails
19heads
20heads


Transformation:

To use the ROLLINGMODE function, the results need to be converted to numeric values:


Now calculate the ROLLINGMODE for the preceding five values for each row:


You can now convert the binary values back to text information:


Results:

TurnResultmostCommonLast5
1headsheads-last5
2headsheads-last5
3tailsheads-last5
4headsheads-last5
5headsheads-last5
6tailsheads-last5
7tailstails-last5
8headsheads-last5
9tailstails-last5
10headstails-last5
11tailstails-last5
12headsheads-last5
13tailstails-last5
14headsheads-last5
15headsheads-last5
16tailsheads-last5
17tailstails-last5
18tailstails-last5
19headstails-last5
20headstails-last5