How to Get Min Value of three months

vp3681

New Member
Joined
Apr 7, 2015
Messages
17
I have data of few months.
[TABLE="width: 201"]
<colgroup><col><col span="2"></colgroup><tbody>[TR]
[TD]Date[/TD]
[TD]Name[/TD]
[TD]Value[/TD]
[/TR]
[TR]
[TD="align: right"]01-04-2018[/TD]
[TD]a[/TD]
[TD="align: right"]2[/TD]
[/TR]
[TR]
[TD="align: right"]03-04-2018[/TD]
[TD]b[/TD]
[TD="align: right"]2[/TD]
[/TR]
[TR]
[TD="align: right"]05-04-2018[/TD]
[TD]c[/TD]
[TD="align: right"]8[/TD]
[/TR]
[TR]
[TD="align: right"]07-04-2018[/TD]
[TD]d[/TD]
[TD="align: right"]3[/TD]
[/TR]
[TR]
[TD="align: right"]09-04-2018[/TD]
[TD]e[/TD]
[TD="align: right"]1[/TD]
[/TR]
[TR]
[TD="align: right"]11-04-2018[/TD]
[TD]f[/TD]
[TD="align: right"]3[/TD]
[/TR]
[TR]
[TD="align: right"]13-04-2018[/TD]
[TD]g[/TD]
[TD="align: right"]10[/TD]
[/TR]
[TR]
[TD="align: right"]15-04-2018[/TD]
[TD]h[/TD]
[TD="align: right"]9[/TD]
[/TR]
[TR]
[TD="align: right"]17-04-2018[/TD]
[TD]i[/TD]
[TD="align: right"]5[/TD]
[/TR]
[TR]
[TD="align: right"]19-04-2018[/TD]
[TD]j[/TD]
[TD="align: right"]7[/TD]
[/TR]
[TR]
[TD="align: right"]21-04-2018[/TD]
[TD]k[/TD]
[TD="align: right"]4[/TD]
[/TR]
[TR]
[TD="align: right"]23-04-2018[/TD]
[TD]l[/TD]
[TD="align: right"]5[/TD]
[/TR]
[TR]
[TD="align: right"]25-04-2018[/TD]
[TD]m[/TD]
[TD="align: right"]8[/TD]
[/TR]
[TR]
[TD="align: right"]27-04-2018[/TD]
[TD]a[/TD]
[TD="align: right"]4[/TD]
[/TR]
[TR]
[TD="align: right"]29-04-2018[/TD]
[TD]b[/TD]
[TD="align: right"]10[/TD]
[/TR]
[TR]
[TD="align: right"]01-05-2018[/TD]
[TD]c[/TD]
[TD="align: right"]8[/TD]
[/TR]
[TR]
[TD="align: right"]03-05-2018[/TD]
[TD]d[/TD]
[TD="align: right"]5[/TD]
[/TR]
[TR]
[TD="align: right"]05-05-2018[/TD]
[TD]e[/TD]
[TD="align: right"]3[/TD]
[/TR]
[TR]
[TD="align: right"]07-05-2018[/TD]
[TD]f[/TD]
[TD="align: right"]2[/TD]
[/TR]
[TR]
[TD="align: right"]09-05-2018[/TD]
[TD]g[/TD]
[TD="align: right"]7[/TD]
[/TR]
[TR]
[TD="align: right"]11-05-2018[/TD]
[TD]h[/TD]
[TD="align: right"]2[/TD]
[/TR]
[TR]
[TD="align: right"]13-05-2018[/TD]
[TD]i[/TD]
[TD="align: right"]3[/TD]
[/TR]
[TR]
[TD="align: right"]15-05-2018[/TD]
[TD]j[/TD]
[TD="align: right"]6[/TD]
[/TR]
[TR]
[TD="align: right"]17-05-2018[/TD]
[TD]k[/TD]
[TD="align: right"]4[/TD]
[/TR]
[TR]
[TD="align: right"]19-05-2018[/TD]
[TD]l[/TD]
[TD="align: right"]9[/TD]
[/TR]
[TR]
[TD="align: right"]21-05-2018[/TD]
[TD]m[/TD]
[TD="align: right"]9[/TD]
[/TR]
[TR]
[TD="align: right"]23-05-2018[/TD]
[TD]a[/TD]
[TD="align: right"]1[/TD]
[/TR]
[TR]
[TD="align: right"]25-05-2018[/TD]
[TD]b[/TD]
[TD="align: right"]3[/TD]
[/TR]
[TR]
[TD="align: right"]27-05-2018[/TD]
[TD]c[/TD]
[TD="align: right"]2[/TD]
[/TR]
[TR]
[TD="align: right"]29-05-2018[/TD]
[TD]d[/TD]
[TD="align: right"]8[/TD]
[/TR]
[TR]
[TD="align: right"]31-05-2018[/TD]
[TD]e[/TD]
[TD="align: right"]1[/TD]
[/TR]
[TR]
[TD="align: right"]02-06-2018[/TD]
[TD]f[/TD]
[TD="align: right"]7[/TD]
[/TR]
[TR]
[TD="align: right"]04-06-2018[/TD]
[TD]g[/TD]
[TD="align: right"]5[/TD]
[/TR]
[TR]
[TD="align: right"]06-06-2018[/TD]
[TD]h[/TD]
[TD="align: right"]4[/TD]
[/TR]
[TR]
[TD="align: right"]08-06-2018[/TD]
[TD]i[/TD]
[TD="align: right"]9[/TD]
[/TR]
[TR]
[TD="align: right"]10-06-2018[/TD]
[TD]j[/TD]
[TD="align: right"]5[/TD]
[/TR]
[TR]
[TD="align: right"]12-06-2018[/TD]
[TD]k[/TD]
[TD="align: right"]3[/TD]
[/TR]
[TR]
[TD="align: right"]14-06-2018[/TD]
[TD]l[/TD]
[TD="align: right"]4[/TD]
[/TR]
[TR]
[TD="align: right"]16-06-2018[/TD]
[TD]m[/TD]
[TD="align: right"]10[/TD]
[/TR]
[TR]
[TD="align: right"]18-06-2018[/TD]
[TD]a[/TD]
[TD="align: right"]5[/TD]
[/TR]
[TR]
[TD="align: right"]20-06-2018[/TD]
[TD]b[/TD]
[TD="align: right"]8[/TD]
[/TR]
[TR]
[TD="align: right"]22-06-2018[/TD]
[TD]c[/TD]
[TD="align: right"]4[/TD]
[/TR]
[TR]
[TD="align: right"]24-06-2018[/TD]
[TD]d[/TD]
[TD="align: right"]4[/TD]
[/TR]
[TR]
[TD="align: right"]26-06-2018[/TD]
[TD]e[/TD]
[TD="align: right"]3[/TD]
[/TR]
[TR]
[TD="align: right"]28-06-2018[/TD]
[TD]f[/TD]
[TD="align: right"]6[/TD]
[/TR]
[TR]
[TD="align: right"]30-06-2018[/TD]
[TD]g[/TD]
[TD="align: right"]2[/TD]
[/TR]
[TR]
[TD="align: right"]02-07-2018[/TD]
[TD]h[/TD]
[TD="align: right"]8[/TD]
[/TR]
[TR]
[TD="align: right"]04-07-2018[/TD]
[TD]i[/TD]
[TD="align: right"]10[/TD]
[/TR]
[TR]
[TD="align: right"]06-07-2018[/TD]
[TD]j[/TD]
[TD="align: right"]3[/TD]
[/TR]
[TR]
[TD="align: right"]08-07-2018[/TD]
[TD]k[/TD]
[TD="align: right"]7[/TD]
[/TR]
[TR]
[TD="align: right"]10-07-2018[/TD]
[TD]l[/TD]
[TD="align: right"]6[/TD]
[/TR]
[TR]
[TD="align: right"]12-07-2018[/TD]
[TD]m[/TD]
[TD="align: right"]6[/TD]
[/TR]
</tbody>[/TABLE]

Having three columns - Date, Product and Value
I want to min value out of April, May and June by using Measure.

I want to create Pivot table Row Product, Column Month and last column Min value out of April, May and June.
 

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Hi,

Is it the minimum at the aggregated or row level you need?

For example, April contains the Name 'a' twice, with one value being 2 and one value being 4. Should the minimum for April be 2 or are you only interested in the aggregated amount of 6?

Matty
 
Upvote 0
I need only Minimum number against "a" from all three month.
Actually, I need pivot table with Product Name in Row, and five column.

Column -1 - April - Min (I know how to get it)
Column -2 - May - Min (I know how to get it)
Column - 3 June - Min (I know how to get it)
Column - 4 July - Min (I know how to get it)
Column - 5 - Min number from April, May and June (It should be from Dax Measure)
 
Last edited:
Upvote 0
I'm not sure but something like this?

[Table="width:, class:head"]
[tr=bgcolor:#FFFFFF][td=bgcolor:#70AD47]Name[/td][td=bgcolor:#70AD47]April[/td][td=bgcolor:#70AD47]May[/td][td=bgcolor:#70AD47]June[/td][td=bgcolor:#70AD47]July[/td][td=bgcolor:#70AD47]Minimum[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]a[/td][td=bgcolor:#E2EFDA]
2​
[/td][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]
5​
[/td][td=bgcolor:#E2EFDA][/td][td=bgcolor:#E2EFDA]
1​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]b[/td][td]
2​
[/td][td]
3​
[/td][td]
8​
[/td][td][/td][td]
2​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]c[/td][td=bgcolor:#E2EFDA]
8​
[/td][td=bgcolor:#E2EFDA]
2​
[/td][td=bgcolor:#E2EFDA]
4​
[/td][td=bgcolor:#E2EFDA][/td][td=bgcolor:#E2EFDA]
2​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]d[/td][td]
3​
[/td][td]
5​
[/td][td]
4​
[/td][td][/td][td]
3​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]e[/td][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA][/td][td=bgcolor:#E2EFDA]
1​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]f[/td][td]
3​
[/td][td]
2​
[/td][td]
6​
[/td][td][/td][td]
2​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]g[/td][td=bgcolor:#E2EFDA]
10​
[/td][td=bgcolor:#E2EFDA]
7​
[/td][td=bgcolor:#E2EFDA]
2​
[/td][td=bgcolor:#E2EFDA][/td][td=bgcolor:#E2EFDA]
2​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]h[/td][td]
9​
[/td][td]
2​
[/td][td]
4​
[/td][td]
8​
[/td][td]
2​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]i[/td][td=bgcolor:#E2EFDA]
5​
[/td][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA]
9​
[/td][td=bgcolor:#E2EFDA]
10​
[/td][td=bgcolor:#E2EFDA]
3​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]j[/td][td]
7​
[/td][td]
6​
[/td][td]
5​
[/td][td]
3​
[/td][td]
3​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]k[/td][td=bgcolor:#E2EFDA]
4​
[/td][td=bgcolor:#E2EFDA]
4​
[/td][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA]
7​
[/td][td=bgcolor:#E2EFDA]
3​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]l[/td][td]
5​
[/td][td]
9​
[/td][td]
4​
[/td][td]
6​
[/td][td]
4​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]m[/td][td=bgcolor:#E2EFDA]
8​
[/td][td=bgcolor:#E2EFDA]
9​
[/td][td=bgcolor:#E2EFDA]
10​
[/td][td=bgcolor:#E2EFDA]
6​
[/td][td=bgcolor:#E2EFDA]
6​
[/td][/tr]
[/table]
 
Upvote 0
Yes the expected Pivot table structure is correct.
But I need minimum of April, May & June only.. July not to be considered in calculation.
 
Last edited:
Upvote 0
sure, but why PivotTable?

with PowerQuery:

Code:
[SIZE=1]let
    Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type datetime}, {"Name", type text}, {"Value", Int64.Type}}),
    #"Extracted Month Name" = Table.TransformColumns(#"Changed Type", {{"Date", each Date.MonthName(_), type text}}),
    #"Filtered Rows" = Table.SelectRows(#"Extracted Month Name", each ([Date] <> "July")),
    #"Pivoted Column" = Table.Pivot(#"Filtered Rows", List.Distinct(#"Filtered Rows"[Date]), "Date", "Value", List.Min),
    #"Inserted Minimum" = Table.AddColumn(#"Pivoted Column", "Minimum", each List.Min({[April], [May], [June]}), Int64.Type)
in
    #"Inserted Minimum"[/SIZE]

[Table="width:, class:head"]
[tr=bgcolor:#FFFFFF][td=bgcolor:#70AD47]Name[/td][td=bgcolor:#70AD47]April[/td][td=bgcolor:#70AD47]May[/td][td=bgcolor:#70AD47]June[/td][td=bgcolor:#70AD47]Minimum[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]a[/td][td=bgcolor:#E2EFDA]
2​
[/td][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]
5​
[/td][td=bgcolor:#E2EFDA]
1​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]b[/td][td]
2​
[/td][td]
3​
[/td][td]
8​
[/td][td]
2​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]c[/td][td=bgcolor:#E2EFDA]
8​
[/td][td=bgcolor:#E2EFDA]
2​
[/td][td=bgcolor:#E2EFDA]
4​
[/td][td=bgcolor:#E2EFDA]
2​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]d[/td][td]
3​
[/td][td]
5​
[/td][td]
4​
[/td][td]
3​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]e[/td][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA]
1​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]f[/td][td]
3​
[/td][td]
2​
[/td][td]
6​
[/td][td]
2​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]g[/td][td=bgcolor:#E2EFDA]
10​
[/td][td=bgcolor:#E2EFDA]
7​
[/td][td=bgcolor:#E2EFDA]
2​
[/td][td=bgcolor:#E2EFDA]
2​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]h[/td][td]
9​
[/td][td]
2​
[/td][td]
4​
[/td][td]
2​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]i[/td][td=bgcolor:#E2EFDA]
5​
[/td][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA]
9​
[/td][td=bgcolor:#E2EFDA]
3​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]j[/td][td]
7​
[/td][td]
6​
[/td][td]
5​
[/td][td]
5​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]k[/td][td=bgcolor:#E2EFDA]
4​
[/td][td=bgcolor:#E2EFDA]
4​
[/td][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA]
3​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]l[/td][td]
5​
[/td][td]
9​
[/td][td]
4​
[/td][td]
4​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]m[/td][td=bgcolor:#E2EFDA]
8​
[/td][td=bgcolor:#E2EFDA]
9​
[/td][td=bgcolor:#E2EFDA]
10​
[/td][td=bgcolor:#E2EFDA]
8​
[/td][/tr]
[/table]
 
Last edited:
Upvote 0
Great thanks, really appreciate your suggestion.
But still, I would like to learn DAX formula if possible.
 
Upvote 0
Hi vp3681,

Try this:

(1) Add a calculated column to PowerPivot with the formula MONTH(Assignment[Date])
(2) Add Measure as follow: MinMonth:=CALCULATE( MIN(Assignment[Value]),
Filter(
Assignment,
Assignment[Month]=4 ||
Assignment[Month]=5 ||
Assignment[Month]=6
)
)
(3) Pivot the data as follows: Row Name, Values MinMonth

Note: Assignment is the name of the table and Month is the Calculated Column Name
 
Last edited:
Upvote 0

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