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Hi all,
I have table as below with Two column.
DateTime S_Value
2020-03-26 16:25:38 | 2000 |
2020-03-26 16:25:38 | 3500 |
2020-03-26 16:25:30 | 3500 |
2020-03-26 16:25:30 | 2050 |
2020-03-26 16:23:53 | 500 |
2020-03-26 14:33:08 | 689 |
2020-03-20 12:30:46 | 356 |
2020-03-20 12:30:46 | 3456 |
2020-03-20 12:30:45 | 5678 |
2020-03-20 12:30:45 | 890 |
2020-03-20 11:30:44 | 490 |
2020-03-20 11:24:05 | 732 |
2020-03-19 18:46:14 | 689 |
2020-03-19 18:46:14 | 263 |
2020-03-19 18:46:13 | 794 |
2020-03-19 18:46:13 | 4478 |
I would like to compare datetime column and if multiple datetime exist and get only the max value from column S_Value for correspoding datetime column.
so the output has to be follwoing.
DateTime S_Value
2020-03-26 16:25:38 | 3500 |
2020-03-26 16:25:30 | 3800 |
2020-03-26 16:23:53 | 500 |
2020-03-26 14:33:08 | 689 |
2020-03-20 12:30:46 | 3456 |
2020-03-20 12:30:45 | 5678 |
2020-03-20 11:30:44 | 490 |
2020-03-20 11:24:05 | 732 |
2020-03-19 18:46:14 | 689 |
2020-03-19 18:46:13 | 4478 |
any help is greatly appreciated.
Solved! Go to Solution.
@Anonymous
It's simpler then. Just use "Group By"
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("hdBLDsAgCATQqxjXbTJ8ROUqTe9/jWp3pmq3vMAA1xUZjBNysgUy5+RS4tGqQLyPFUtaMv6ZkaYsnqTxrFldxNGjrdRREYjbXFd7k22nuuTUgy2XDZeKj9Kr2lSnyurovVl4UKqBSlvKSSc3jcomC+3fylU3qtpPuh8=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [DateTime = _t, S_Value = _t]),
#"Changed Type1" = Table.TransformColumnTypes(Source,{{"DateTime", type datetime}, {"S_Value", Int64.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type1", {"DateTime"}, {{"S_Value", each List.Max([S_Value]), Int64.Type}})
in
#"Grouped Rows"
Please mark the question solved when done and consider giving kudos if posts are helpful.
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Cheers
Hi @Anonymous
Do you need this in M or DAX?
Please mark the question solved when done and consider giving kudos if posts are helpful.
Contact me privately for support with any larger-scale BI needs, tutoring, etc.
Cheers
M is better at first instance.
for learning purpose if you can add DAX will be useful also for me and for others too.
Thanks for your reply.
@Anonymous
What is the last part of he SValue (in red below)?? Assuming the rests is hh:mm:ss. A complete explanation from the beginning would help us not to waste time unnecessarily with this type of questions
16:25:382000
Please mark the question solved when done and consider giving kudos if posts are helpful.
Contact me privately for support with any larger-scale BI needs, tutoring, etc.
Cheers
Table
HI @AlB
Here is the better image of table with two column.
as you mentioned 16:25:382000
2000 is the value from other column.
The problem was i am unable to edit the HTML for table. i have tried to seprate the column with width and height but it alays gives me an error.
sorry for any inconvinience.
@Anonymous
Try this in M
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("hdBLDsAgCATQqxjXbTJ8ROUqTe9/jWp3pmq3vMAA1xUZjBNysgUy5+RS4tGqQLyPFUtaMv6ZkaYsnqTxrFldxNGjrdRREYjbXFd7k22nuuTUgy2XDZeKj9Kr2lSnyurovVl4UKqBSlvKSSc3jcomC+3fylU3qtpPuh8=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [DateTime = _t, S_Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"DateTime", type datetime}}),
#"Added Custom" = Table.AddColumn(#"Changed Type", "Date", each DateTime.Date([#"DateTime"])),
#"Added Custom1" = Table.AddColumn(#"Added Custom", "LatestInThisDate", each List.Max(Table.SelectRows(#"Added Custom",(inner)=>inner[Date]=[Date])[DateTime])),
#"Filtered Rows" = Table.SelectRows(#"Added Custom1", each [LatestInThisDate] = [DateTime]),
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Date", "LatestInThisDate"})
in
#"Removed Columns"
Please mark the question solved when done and consider giving kudos if posts are helpful.
Contact me privately for support with any larger-scale BI needs, tutoring, etc.
Cheers
Hi again @AlB
I have tried your solution but it didn't give me a desired result.
Table
for each instance of timestamp check the same timestamp exist and if it exist than get the max value row from the table for each timestamp as shown in figure.
for ex. for a first two row with a same time stamp the max value is 3500. so final has to be
3/26/2020 4:25:38 PM 3500
currectly your solution gives me a partial result.
next time i will add more descripiton.
regads
tar.
@Anonymous
It's simpler then. Just use "Group By"
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("hdBLDsAgCATQqxjXbTJ8ROUqTe9/jWp3pmq3vMAA1xUZjBNysgUy5+RS4tGqQLyPFUtaMv6ZkaYsnqTxrFldxNGjrdRREYjbXFd7k22nuuTUgy2XDZeKj9Kr2lSnyurovVl4UKqBSlvKSSc3jcomC+3fylU3qtpPuh8=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [DateTime = _t, S_Value = _t]),
#"Changed Type1" = Table.TransformColumnTypes(Source,{{"DateTime", type datetime}, {"S_Value", Int64.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type1", {"DateTime"}, {{"S_Value", each List.Max([S_Value]), Int64.Type}})
in
#"Grouped Rows"
Please mark the question solved when done and consider giving kudos if posts are helpful.
Contact me privately for support with any larger-scale BI needs, tutoring, etc.
Cheers
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