MIN DAX Function (Aggregation)
Returns the smallest value in a column, or the smaller value between two scalar expressions. Ignores logical values. Strings are compared according to alphabetical order.
Syntax
| Parameter | Attributes | Description |
|---|---|---|
| ColumnNameOrScalar1 |
The column in which you want to find the smallest value, or the first scalar expression to compare. |
|
| Scalar2 | Optional |
The second value to compare. |
Return values
Smallest value found in the column or in the two expressions.
Remarks
When used with a single column, the MIN function internally executes MINX, without any performance difference.
The following MIN call:
MIN ( table[column] )
corresponds to the following MINX call:
MINX (
table,
table[column]
)
The result is blank in case there are no rows in the table with a non-blank value.
When used with two arguments, the syntax:
MIN ( exp1, exp2 )
corresponds to:
VAR v1 = exp1
VAR v2 = exp2
RETURN IF (
v1 < v2,
v1,
v2
)
Examples
-- MIN is the short version of MINX, when used with one column only
DEFINE
MEASURE Sales[MIN Net Price 1] = MIN ( Sales[Net Price] )
MEASURE Sales[MIN Net Price 2] = MINX ( Sales, Sales[Net Price] )
MEASURE Sales[MIN Line Amount] =
MINX ( Sales, Sales[Quantity] * Sales[Net Price] )
EVALUATE
SUMMARIZECOLUMNS (
'Product'[Color],
"MIN Net Price 1", [MIN Net Price 1],
"MIN Net Price 2", [MIN Net Price 2],
"MIN Line Amount", [MIN Line Amount]
)
| Color | MIN Net Price 1 | MIN Net Price 2 | MIN Line Amount |
|---|---|---|---|
| Silver | 0.76 | 0.76 | 0.76 |
| Blue | 8.99 | 8.99 | 8.99 |
| White | 1.79 | 1.79 | 1.79 |
| Red | 3.98 | 3.98 | 3.98 |
| Black | 0.88 | 0.88 | 0.88 |
| Green | 3.99 | 3.99 | 3.99 |
| Orange | 23.96 | 23.96 | 23.96 |
| Pink | 0.76 | 0.76 | 0.76 |
| Yellow | 3.99 | 3.99 | 3.99 |
| Purple | 22.40 | 22.40 | 22.40 |
| Brown | 23.99 | 23.99 | 23.99 |
| Grey | 0.95 | 0.95 | 0.95 |
| Gold | 13.90 | 13.90 | 13.90 |
| Azure | 103.20 | 103.20 | 103.20 |
| Silver Grey | 158.40 | 158.40 | 158.40 |
| Transparent | 2.35 | 2.35 | 2.35 |
-- MIN can be used with two scalars, in that case it
-- returns the minimum between its arguments
DEFINE
MEASURE Sales[Sales Amount] =
SUMX ( Sales, Sales[Quantity] * Sales[Net Price] )
MEASURE Sales[5M or Sales Amount] =
MIN ( 5000000, [Sales Amount] )
EVALUATE
SUMMARIZECOLUMNS (
'Product'[Color],
"Sales Amount", [Sales Amount],
"5M or Sales Amount", [5M or Sales Amount]
)
ORDER BY [Color]
| Color | Sales Amount | 5M or Sales Amount |
|---|---|---|
| Azure | 97,389.89 | 97,389.89 |
| Black | 5,860,066.14 | 5,000,000.00 |
| Blue | 2,435,444.62 | 2,435,444.62 |
| Brown | 1,029,508.95 | 1,029,508.95 |
| Gold | 361,496.01 | 361,496.01 |
| Green | 1,403,184.38 | 1,403,184.38 |
| Grey | 3,509,138.09 | 3,509,138.09 |
| Orange | 857,320.28 | 857,320.28 |
| Pink | 828,638.54 | 828,638.54 |
| Purple | 5,973.84 | 5,973.84 |
| Red | 1,110,102.10 | 1,110,102.10 |
| Silver | 6,798,560.86 | 5,000,000.00 |
| Silver Grey | 371,908.92 | 371,908.92 |
| Transparent | 3,295.89 | 3,295.89 |
| White | 5,829,599.91 | 5,000,000.00 |
| Yellow | 89,715.56 | 89,715.56 |
-- MINX is needed to iterate the content of a variable,
-- indeed MIN works only with columns in the model
DEFINE
MEASURE Sales[Sales Amount] =
SUMX ( Sales, Sales[Quantity] * Sales[Net Price] )
MEASURE Sales[MIN Monthly Sales] =
VAR MonthlySales =
ADDCOLUMNS (
DISTINCT ( 'Date'[Calendar Year Month] ),
"@MonthlySales", [Sales Amount]
)
VAR FilteredSales =
FILTER ( MonthlySales, [@MonthlySales] > 10000 )
VAR Result =
-- Iterator required to aggregate the @MonthlySales column
MINX ( FilteredSales, [@MonthlySales] )
RETURN
Result
EVALUATE
SUMMARIZECOLUMNS (
'Product'[Color],
"MINX Monthly Sales", [MIN Monthly Sales]
)
| Color | MINX Monthly Sales |
|---|---|
| Silver | 64,226.40 |
| Blue | 21,907.71 |
| White | 65,678.96 |
| Red | 11,202.40 |
| Black | 94,310.36 |
| Green | 13,555.70 |
| Orange | 11,399.62 |
| Pink | 10,333.59 |
| Grey | 28,463.19 |
| Silver Grey | 10,565.60 |
| Brown | 10,972.75 |
| Gold | 10,056.00 |
| Yellow | 11,256.69 |
Related articles
Learn more about MIN in the following articles:
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Understanding the difference between LASTDATE and MAX in DAX
This article explains why in many cases, MAX should be used instead of LASTDATE to search for the last date in a time period using DAX. » Read more
Related functions
Other related functions are:
Last update: Mar 1, 2021 » Contribute » Show contributors
Contributors: Alberto Ferrari, Marco Russo
MSDN documentation: https://docs.microsoft.com/en-us/dax/min-function-dax