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The title may be strange, but the essence will hopefully become clear.
I am using Power BI - Tranform Data so Power Query
I have two tables:
Table 1
User Name | Team Number |
John | /13575/685348/896913/38683/65834/43866 |
Fred | /13757/685348/6483/68436/96837/31838/3183 |
Bill | /13757/685348/6483/68436/38138/431689/6831/13813 |
Table 2
Team Name | Team Number |
Team A | /13575/685348/896913 |
Team B | /13575/685348/13864 |
Team C | /13757/685348/6483/68436/96837 |
Team D | /13575/685348/18683/13556 |
Team E | /13757/685348/6483/68436/68318 |
I am looking to match the User Name to the Team Name through the Team Number.
Unfortuantely I the Team number I Get from the User might be longer as they belong to a nested team.
Its easy to Merge Querries using Left Outer to match these up when the data is the same.
How can I get these to match when I only want to use the first part of the Team Number in Table 2?
I tried useing fuzzy match but possibly due to the depth of the Team Numbers it didn't work to well.
What I am getting is this:
Name | Team Number | Team Name |
John | /13575/685348/896913/38683/65834/43866 | null |
Fred | /13757/685348/6483/68436/96837/31838/3183 | Team C |
Fred | /13757/685348/6483/68436/96837/31838/3183 | Team E |
Bill | /13757/685348/6483/68436/38138/431689/6831/13813 | Team C |
Bill | /13757/685348/6483/68436/38138/431689/6831/13813 | Team E |
Ultimately I am hoping to get this:
Name | Team Number | Team Name |
John | /13575/685348/896913/38683/65834/43866 | Team A |
Fred | /13757/685348/6483/68436/96837/31838/3183 | Team C |
Bill | /13757/685348/6483/68436/38138/431689/6831/13813 | Team E |
Looking forward to any thoughts!
Thank you!
Solved! Go to Solution.
@Ironpixel , Try a new column in Dax Like this
maxx(filter(Table2, search(table2[Team Number], table1[eam Number],,0)>0),Table2[Team Name])
Hi, @Ironpixel , you might want to try such a solution,
let
Lookup = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fc47CoAwEATQq8jWgSXsN6W/G9iFFBaW3r81opIiYDcMj2Fyhu3Yz2GEABhJTFBdiB09aYoEJbxi6kQkV25gfoCJfUDZqWYmxaRO1uzSj3kVdyXa2Po3SV4PQCkX", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Team Name" = _t, #"Team Number" = _t]),
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fcuxCgJBDIThd0l9EMIk2dnWwsJXWLY7wYPjBN+/MJ7Y2gQy/N8Ycns+DllEDdFCkwGnsmc3KJiEZhCuXk/KXIZcX/f1K1q0n0j/lHSk9kJNYQTPe6LLtu//EGiVOyzZa4JVWZPM+QY=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"User Name" = _t, #"Team Number" = _t]),
Matchup = Table.AddColumn(
Source, "Team Name",
each List.Accumulate(
Table.ToRecords(Lookup),
{[Team Number], {}},
(s, c) => if Text.Contains(s{0}, c[Team Number], Comparer.OrdinalIgnoreCase) then {s{0}, s{1}&{c[Team Name]}} else s
){1}
),
#"Expanded Team Name" = Table.ExpandListColumn(Matchup, "Team Name")
in
#"Expanded Team Name"
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Hi @Ironpixel ,
Based on your description, you can create a measure or a calculated column as follows.
Measure_match =
MAXX(
FILTER(
'Case1_2',
SEARCH(
'Case1_2'[Team Number],
MAX('Case1-1'[Team Number]),
,
0
)>0
),
[Team Name]
)
Match_column =
SWITCH(
TRUE(),
SEARCH("896913",'Case1-1'[Team Number],1,0)>0,"Team A",
SEARCH("13864",'Case1-1'[Team Number],1,0)>0,"Team B",
SEARCH("96837",'Case1-1'[Team Number],1,0)>0,"Team C",
SEARCH("13556",'Case1-1'[Team Number],1,0)>0,"Team D",
SEARCH("38138",'Case1-1'[Team Number],1,0)>0,"Team E",
"No"
)
Result:
Hope that's what you were looking for.
Best Regards,
Yuna
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @Ironpixel , you might want to try such a solution,
let
Lookup = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fc47CoAwEATQq8jWgSXsN6W/G9iFFBaW3r81opIiYDcMj2Fyhu3Yz2GEABhJTFBdiB09aYoEJbxi6kQkV25gfoCJfUDZqWYmxaRO1uzSj3kVdyXa2Po3SV4PQCkX", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Team Name" = _t, #"Team Number" = _t]),
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fcuxCgJBDIThd0l9EMIk2dnWwsJXWLY7wYPjBN+/MJ7Y2gQy/N8Ycns+DllEDdFCkwGnsmc3KJiEZhCuXk/KXIZcX/f1K1q0n0j/lHSk9kJNYQTPe6LLtu//EGiVOyzZa4JVWZPM+QY=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"User Name" = _t, #"Team Number" = _t]),
Matchup = Table.AddColumn(
Source, "Team Name",
each List.Accumulate(
Table.ToRecords(Lookup),
{[Team Number], {}},
(s, c) => if Text.Contains(s{0}, c[Team Number], Comparer.OrdinalIgnoreCase) then {s{0}, s{1}&{c[Team Name]}} else s
){1}
),
#"Expanded Team Name" = Table.ExpandListColumn(Matchup, "Team Name")
in
#"Expanded Team Name"
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
@CNENFRNL Still trying to get this to work. Unfortuantley my Advanced Editor knowledge is a little behind, but hoping to be able to pull it off.
Thanks!
@Ironpixel , Try a new column in Dax Like this
maxx(filter(Table2, search(table2[Team Number], table1[eam Number],,0)>0),Table2[Team Name])
@amitchandra - This is a great solution in DAX!
I got it working. If I can't get it working in Power Query I will use this.
Thank you!
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