The BYROW and BYCOL functions are used to perform a calculation given by a LAMBDA function that uses only one argument for a given row or column. This, in a way, distinguishes them from the function mentioned in the previous post. Both functions work in a similar way. They differ only in whether they retrieve the data needed for the calculation from the row or column.
MAKEARRAY allows you to easily generate an array (range) of values. The first two arguments are the number of rows and columns, and further should specify the expression within which the calculation is performed using the LAMBDA function. This function is also dynamic in nature because it does not return a single value but a range in accordance with the given dimensions.
The SCAN function is used to search an array (range) and return the calculated value based on a formula specified using the LAMBDA function. The first, optional argument, is the initial value. It is often left out. Then we specify an array (range) and at the end we state the mentioned expression by which the calculation is performed. The result of this function is not one value but a range whose dimensions correspond to a given sequence.
The REDUCE function is used to reduce a given array to an accumulated value defined by the LAMBDA function. It is somewhat reminiscent of conditional data aggregation functions but provides far more possibilities. In the example that follows, you will be able to see its application for calculating the last day of the month when sales were higher than average.
MAP is used as an auxiliary function, in combination with the LAMBDA function, it is dynamic in nature and returns all those data range values that meet the specified condition. It reminds a little of other functions for working with dynamic arrays, but instead of values, it returns those that were calculated within a given expression. The LAMBDA function is in charge of the calculation.