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mussaenda
Super User
Super User

Last Value of Every Month

Good Day,

 

I have a data like this and those in red font color are what i need.

The Value needed is the value of max date per month.

Amount is cumulative that's why i only wanted to get the last value per month.

 

I tried it in power query but i  did not succeed.

In DAX, i did not succeed.

 

Also, It will be nice if we will use calculated column for future steps.

Thank you

 

Date AMT Index Value Needed
01/09/2019 00:00:00                                              6,564,571.022319     6,564,571.02
30/08/2019 00:00:00                                              6,784,825.872318     6,784,825.87
29/08/2019 00:00:00                                              6,784,876.252317 
28/08/2019 00:00:00                                           10,646,261.632316 
27/08/2019 00:00:00                                           10,144,474.032315 
25/08/2019 00:00:00                                              9,680,986.072314 
24/08/2019 00:00:00                                              9,351,917.252313 
22/08/2019 00:00:00                                              8,903,386.662312 
21/08/2019 00:00:00                                              8,829,409.802311 
20/08/2019 00:00:00                                              8,504,821.452310 
17/08/2019 00:00:00                                              8,506,139.432309 
15/08/2019 00:00:00                                              8,487,484.412308 
14/08/2019 00:00:00                                              9,475,110.502307 
09/08/2019 00:00:00                                              8,967,067.262306 
08/08/2019 00:00:00                                              8,828,632.282305 
07/08/2019 00:00:00                                              8,584,191.722304 
06/08/2019 00:00:00                                              8,278,699.832303 
04/08/2019 00:00:00                                              7,456,815.722302 
03/08/2019 00:00:00                                              7,410,078.322301 
01/08/2019 00:00:00                                              7,325,497.012300 
31/07/2019 00:00:00                                              7,344,648.912299     7,344,648.91
30/07/2019 00:00:00                                           12,384,076.802298 
29/07/2019 00:00:00                                           12,250,113.292297 
28/07/2019 00:00:00                                           11,953,405.052296 
27/07/2019 00:00:00                                           11,922,883.412295 
26/07/2019 00:00:00                                           11,916,823.012294 
25/07/2019 00:00:00                                           11,798,432.562293 
24/07/2019 00:00:00                                           11,756,496.052292 
23/07/2019 00:00:00                                           11,602,221.322291 
22/07/2019 00:00:00                                           11,531,069.082290 
21/07/2019 00:00:00                                           11,373,897.132289 
20/07/2019 00:00:00                                           11,441,593.592288 
18/07/2019 00:00:00                                           10,621,671.322287 
17/07/2019 00:00:00                                           11,395,626.612286 
16/07/2019 00:00:00                                           11,254,372.452285 
15/07/2019 00:00:00                                           10,840,902.512284 
14/07/2019 00:00:00                                           11,445,551.682283 
13/07/2019 00:00:00                                           11,380,865.102282 
11/07/2019 00:00:00                                           11,321,219.692281 
10/07/2019 00:00:00                                           11,191,798.572280 
09/07/2019 00:00:00                                           11,150,184.152279 
08/07/2019 00:00:00                                           10,255,781.712278 
06/07/2019 00:00:00                                           11,796,536.572277 
05/07/2019 00:00:00                                           11,101,169.962276 
04/07/2019 00:00:00                                           11,039,629.962275 
03/07/2019 00:00:00                                           11,013,240.082274 
02/07/2019 00:00:00                                           10,915,945.952273 
01/07/2019 00:00:00                                           10,857,137.882272 
30/06/2019 00:00:00                                           11,102,376.962271   11,102,376.96
29/06/2019 00:00:00                                              9,879,163.112270 
28/06/2019 00:00:00                                              9,879,178.102269 
27/06/2019 00:00:00                                              9,822,649.142268 
26/06/2019 00:00:00                                           16,028,568.402267 
25/06/2019 00:00:00                                           15,411,345.262266 
24/06/2019 00:00:00                                           14,814,525.102265 
23/06/2019 00:00:00                                           15,374,982.222264 
22/06/2019 00:00:00                                           15,398,195.102263 
20/06/2019 00:00:00                                           14,987,452.752262 
19/06/2019 00:00:00                                           14,889,967.022261 
18/06/2019 00:00:00                                           14,713,552.742260 
17/06/2019 00:00:00                                           14,352,570.702259 
16/06/2019 00:00:00                                           15,421,314.712258 
15/06/2019 00:00:00                                           15,270,984.002257 
13/06/2019 00:00:00                                           15,335,104.282256 
12/06/2019 00:00:00                                           14,879,602.152255 
11/06/2019 00:00:00                                           14,180,981.892254 
10/06/2019 00:00:00                                           14,016,994.652253 
09/06/2019 00:00:00                                           13,881,245.452252 
08/06/2019 00:00:00                                           13,190,966.752251 
07/06/2019 00:00:00                                           12,986,507.782250 
06/06/2019 00:00:00                                           12,936,747.022249 
02/06/2019 00:00:00                                           12,477,657.822248 
01/06/2019 00:00:00                                           12,477,725.942247 
31/05/2019 00:00:00                                           12,443,463.452246   12,443,463.45
30/05/2019 00:00:00                                           12,249,631.132245 
29/05/2019 00:00:00                                           16,926,496.962244 
28/05/2019 00:00:00                                           16,474,498.442243 
27/05/2019 00:00:00                                           16,405,291.782242 
26/05/2019 00:00:00                                           16,405,305.922241 
25/05/2019 00:00:00                                           16,236,689.472240 
24/05/2019 00:00:00                                           16,220,981.512239 
23/05/2019 00:00:00                                           15,942,284.552238 
22/05/2019 00:00:00                                           15,682,658.162237 
21/05/2019 00:00:00                                           15,542,894.552236 
20/05/2019 00:00:00                                           17,283,482.012235 
19/05/2019 00:00:00                                           17,191,384.512234 
18/05/2019 00:00:00                                           17,106,850.272233 
16/05/2019 00:00:00                                           17,002,308.082232 
15/05/2019 00:00:00                                           16,771,051.572231 
14/05/2019 00:00:00                                           16,948,269.262230 
13/05/2019 00:00:00                                           16,299,412.402229 
12/05/2019 00:00:00                                           16,252,739.762228 
11/05/2019 00:00:00                                           15,368,532.152227 
10/05/2019 00:00:00                                           15,368,577.072226 
09/05/2019 00:00:00                                           14,922,381.872225 
08/05/2019 00:00:00                                           14,858,479.232224 
07/05/2019 00:00:00                                           14,333,399.342223 
06/05/2019 00:00:00                                           13,706,829.492222 
05/05/2019 00:00:00                                           13,236,172.792221 
02/05/2019 00:00:00                                           13,073,516.202220 
01/05/2019 00:00:00                                           13,038,987.112219 
30/04/2019 00:00:00                                           12,966,690.092218   12,966,690.09
29/04/2019 00:00:00                                           17,070,367.662217 
28/04/2019 00:00:00                                           17,059,598.802216 
27/04/2019 00:00:00                                           17,064,113.162215 
26/04/2019 00:00:00                                           16,808,617.542214 
25/04/2019 00:00:00                                           16,808,672.042213 
24/04/2019 00:00:00                                           16,780,668.212212 
23/04/2019 00:00:00                                           16,742,610.732211 
22/04/2019 00:00:00                                           16,382,162.332210 
21/04/2019 00:00:00                                           15,864,695.342209 
20/04/2019 00:00:00                                           15,904,837.572208 
18/04/2019 00:00:00                                           15,865,711.012207 
17/04/2019 00:00:00                                           17,386,357.162206 
16/04/2019 00:00:00                                           17,218,986.272205 
15/04/2019 00:00:00                                           17,219,000.412204 
14/04/2019 00:00:00                                           17,646,418.812203 
13/04/2019 00:00:00                                           17,333,572.422202 
11/04/2019 00:00:00                                           17,100,053.952201 
10/04/2019 00:00:00                                           17,080,604.752200 
09/04/2019 00:00:00                                           17,210,955.812199 
08/04/2019 00:00:00                                           16,543,353.822198 
07/04/2019 00:00:00                                           16,417,625.022197 
06/04/2019 00:00:00                                           14,970,108.892196 
05/04/2019 00:00:00                                           14,970,123.862195 
04/04/2019 00:00:00                                           14,882,377.112194 
03/04/2019 00:00:00                                           14,679,561.972193 
02/04/2019 00:00:00                                           14,489,547.642192 
01/04/2019 00:00:00                                           14,926,570.782191 
31/03/2019 00:00:00                                           14,340,613.322190   14,340,613.32

 

 

2 ACCEPTED SOLUTIONS

Hi @mussaenda 

 

I am attaching pbix file with your sample data and formula

It works with sample data

 

 

 

 


Regards
Zubair

Please try my custom visuals

View solution in original post

@mussaenda 

 

Here is a way of doing it in Power Query

Please see attached file's Query Editor for steps

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Date = _t, #" AMT " = _t, Index = _t, #" Value Needed" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type text}, {" AMT ", type number}, {"Index", Int64.Type}, {" Value Needed", type number}}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Changed Type",{{"Date", type datetime}}),
    #"Renamed Columns" = Table.RenameColumns(#"Changed Type1",{{" AMT ", "AMT"}}),
    #"Inserted Year" = Table.AddColumn(#"Renamed Columns", "Year", each Date.Year([Date]), Int64.Type),
    #"Inserted Month" = Table.AddColumn(#"Inserted Year", "Month", each Date.Month([Date]), Int64.Type),
    #"Grouped Rows" = Table.Group(#"Inserted Month", {"Year", "Month"}, {{"ALL", each _, type table [Date=datetime, #" AMT "=number, Index=number, #" Value Needed"=number, Year=number, Month=number]}}),
    #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each let mydate=List.Max([ALL][Date])
in
Table.AddColumn([ALL], "Column",each (if [Date]=mydate then [AMT] else null))),
    #"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Year", "Month", "ALL"}),
    #"Expanded Custom" = Table.ExpandTableColumn(#"Removed Columns", "Custom", {"Date", "AMT", "Index", " Value Needed", "Column"}, {"Date", "AMT", "Index", " Value Needed", "Column"})
in
    #"Expanded Custom"

Regards
Zubair

Please try my custom visuals

View solution in original post

7 REPLIES 7
Zubair_Muhammad
Community Champion
Community Champion

@mussaenda 

 

Try this column

 

Column =
VAR maxdate =
    CALCULATE (
        MAX ( TableName[Date] ),
        ALLEXCEPT ( TableName, TableName[Date].[Month], TableName[Date].[Year] )
    )
RETURN
    IF (
        [Date] = maxdate,
        CALCULATE ( SUM ( TableName[ AMT ] ), TableName[Date] = maxdate )
    )

Regards
Zubair

Please try my custom visuals

hi @Zubair_Muhammad ,

 

it is giving me blank

Hi @mussaenda 

 

I am attaching pbix file with your sample data and formula

It works with sample data

 

 

 

 


Regards
Zubair

Please try my custom visuals

My fault, i misused one column.

Worked. Thank you!

 

Also wondering if this can also be done in power query.

@mussaenda 

 

Here is a way of doing it in Power Query

Please see attached file's Query Editor for steps

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Date = _t, #" AMT " = _t, Index = _t, #" Value Needed" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type text}, {" AMT ", type number}, {"Index", Int64.Type}, {" Value Needed", type number}}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Changed Type",{{"Date", type datetime}}),
    #"Renamed Columns" = Table.RenameColumns(#"Changed Type1",{{" AMT ", "AMT"}}),
    #"Inserted Year" = Table.AddColumn(#"Renamed Columns", "Year", each Date.Year([Date]), Int64.Type),
    #"Inserted Month" = Table.AddColumn(#"Inserted Year", "Month", each Date.Month([Date]), Int64.Type),
    #"Grouped Rows" = Table.Group(#"Inserted Month", {"Year", "Month"}, {{"ALL", each _, type table [Date=datetime, #" AMT "=number, Index=number, #" Value Needed"=number, Year=number, Month=number]}}),
    #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each let mydate=List.Max([ALL][Date])
in
Table.AddColumn([ALL], "Column",each (if [Date]=mydate then [AMT] else null))),
    #"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Year", "Month", "ALL"}),
    #"Expanded Custom" = Table.ExpandTableColumn(#"Removed Columns", "Custom", {"Date", "AMT", "Index", " Value Needed", "Column"}, {"Date", "AMT", "Index", " Value Needed", "Column"})
in
    #"Expanded Custom"

Regards
Zubair

Please try my custom visuals

What can I do without your help @Zubair_Muhammad !

 

Thank you for this! If you will held a training, I will voluntarily participate!

Really, Thank you!!

Thanks @mussaenda  for the kind words Smiley Happy


Regards
Zubair

Please try my custom visuals

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