I have a table that looks like this example:
Order Bagged Shipped
----------------------------------
1 Y
2 Y
1 Y
3 Y
I want to combine like order numbers into 1 row like below:
Order Bagged Shipped
----------------------------------
1 Y Y
2 Y
3 Y
How can I do this in PowerBi desktop?
Assuming your data really is as simple as your example (values are either null or 'Y' and no conflicts), I suggest something like:
SELECT Order, MAX(Bagged), MAX(Shipped)
FROM mytable
GROUP BY Order
The GROUP BY Order indicates you want one row per order, the MAX for the other columns ensures you get the 'Y' (if it exists for that Order) or null (if 'Y' doesn't exist for that Order).
In BI, select Transform, then add the GroupBy function to your existing code:
#"Grouped Rows" = Table.Group(#"Previous Step", {"Order"}, {
{"Bagged", each if List.Contains([Bagged], "Y") then "Y" else null},
{"Shipped", each if List.Contains([Shipped], "Y") then "Y" else null}
})
in
#"Grouped Rows"
Related
I'm trying to adjust some columns with negative values in my table, I want to all negative values be changed to 0,
The only problem is that the columns keep changing their names, so I would like to be able to make such adjustment based on column position,
For example, the columns are located in 3 and 4 position,
I have created a conditional column to adjust the negatives volumes,
#"New Column" = Table.AddColumn(#Previous Step", "New Column", each if OldColumnName < 0 then 0 else NewColumn),
Is there a way to make this conditional column based on the OldColumn position, and not by its name?
add column, custom column with formula
= if Record.Field(_,Table.ColumnNames(Source){2})<0 then 0 else Record.Field(_,Table.ColumnNames(Source){2})
or
= if Record.Field(_,Table.ColumnNames(Source){2})<0 then 0 else [some other column])
where {2} is the position in column names
Sample to transform in place to remove negatives
Stepname = Table.TransformColumns(#"PriorStepNameHere",{{Table.ColumnNames(#"PriorStepNameHere"){2}, each if _<0 then 0 else _, Int64.Type}})
for multiple column transformations
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
ColumnsToTransform = {Table.ColumnNames(Source){2},Table.ColumnNames(Source){3}},
#"MultipleTransform" = Table.TransformColumns(Source, List.Transform(ColumnsToTransform,(x)=>{x, each if _<0 then 0 else _, type number}))
in #"MultipleTransform"
I have two tables (Table 1 and Table 2) both containing thousands of three dimensional point coordinates (X, Y, Z), Table 2 also has an attribute column.
Table 1
X
Y
Z
6007
44268
1053
6020
44269
1051
Table 2
X
Y
Z
Attribute
6011
44310
1031
A
6049
44271
1112
B
I need to populate a calculated column in Table 1 with an attribute from Table 2 based on the minimum distance between points in 3D space. Basically, match the points in Table 1 to the closest point in Table 2 and then fetch the attribute from Table 2.
So far I have tried rounding X, Y and Z in both tables, then concatenating the rounded values into a separate column in each table. I then use DAX:
CALCULATE(FIRSTNONBLANK(Table 2 [Attribute],1),FILTER(ALL(Table2), Table 2[XYZ]=Table 1 [XYZ])).
This has given me reasonable success depending on the degree of rounding applied to the coordinates.
Is there a better way to achieve this in Power Bi?
This is similar to this post, except with a simpler distance function. See also this post.
Assuming you want the standard Euclidean Distance:
ClosestPointAttribute =
MINX (
TOPN (
1,
Table2,
( Table2[X] - Table1[X] ) ^ 2 +
( Table2[Y] - Table1[Y] ) ^ 2 +
( Table2[Z] - Table1[Z] ) ^ 2,
ASC
),
Table2[Attribute]
)
Note: I've omitted the SQRT from the formula because we don't need the actual distance, just the ordering (and SQRT preserves order since it's a strictly increasing function). You can include it if you prefer.
A function in M Code:
(p1 as list, q1 as list)=>
let
f = List.Generate(
()=> [x = Number.Power(p1{0}-q1{0},2), idx=0],
each [idx]<List.Count(p1),
each [x = Number.Power(p1{[idx]+1}-q1{[idx]+1},2), idx=[idx]+1],
each [x]
),
r = Number.Sqrt(List.Sum(f))
in
r
Each list is a set of coordinates and the function will return the distance between p and q
The above function (which I named fnDistance) can be incorporated into power query code as in this example:
let
//Read in both tables and set data types
Source2 =Excel.CurrentWorkbook(){[Name="Table_2"]}[Content],
table2 = Table.TransformColumnTypes(Source2,{{"X", Int64.Type}, {"Y", Int64.Type}, {"Z", Int64.Type},{"Attribute", Text.Type}}),
Source = Excel.CurrentWorkbook(){[Name="Table_1"]}[Content],
table1 = Table.TransformColumnTypes(Source,{{"X", Int64.Type}, {"Y", Int64.Type}, {"Z", Int64.Type}}),
//calculate distances from Table 1 coordinates to each of the Table 2 coordinates and store in a List
custom = Table.AddColumn(table1,"Distances", each
let
t2 = Table.ToRecords(table2),
X=[X],
Y=[Y],
Z=[Z],
distances = List.Generate(()=>
[d=fnDistance({X,Y,Z},{t2{0}[X],t2{0}[Y],t2{0}[Z]}),a=t2{0}[Attribute], idx=0],
each [idx] < List.Count(t2),
each [d=fnDistance({X,Y,Z},{t2{[idx]+1}[X],t2{[idx]+1}[Y],t2{[idx]+1}[Z]}),a=t2{[idx]+1}[Attribute], idx=[idx]+1],
each {[d],[a]}),
//determine set of coordinates with the minimum distance and return associate Attribute
minDistance = List.Min(List.Alternate(List.Combine(distances),1,1,1)),
attribute = List.Range(List.Combine(distances), List.PositionOf(List.Combine(distances),minDistance)+1,1){0}
in
attribute, Text.Type)
in
custom
I have a data source in tableau that looks something similar to this:
SKU Backup_Storage
A 5
A 1
B 2
B 3
C 1
D 0
I'd like to create a calculated field in tableau that performs a SUM calculation IF the SKU column contains the string 'A' or 'D' , and to perform an AVERAGE calculation if the SKU column contains the letters 'C' or 'B'
This is what I am doing:
IF CONTAINS(ATTR([SKU]),'A') or
CONTAINS(ATTR([SKU]),'D')
THEN SUM([Backup_Storage])
ELSEIF CONTAINS(ATTR([SKU]),'B') or
CONTAINS(ATTR([SKU]),'C')
THEN AVG([Backup_Storage])
END
UPDATE - desired output would be:
SKU BACKUP
A, D 6 (This is the SUM OF A and D)
B, C 2 (This is the AVG of B and C)
The calculation above shows as valid, however, I see NULLS in my data source table.
Any suggestion is appreciated.
I have named the calculated field:
SKU_FILTER_CALCULATION
Basically, IF THEN ELSE condition works when one test that is either TRUE/FALSE. Your specified condition is not a proper use case of IF THEN ELSE because SKUs can take all possible values. See it like this..
your data
SKU Backup_Storage
A 5
A 1
B 2
B 3
C 1
D 0
Let's name your calc field as CF, then CF will take value A in first row and will output SUM(5) = 5. For second row it will output sum(1) = 1, for third and onward rows it will output as avg(2) = 2, avg(3) = 3, avg(1) and sum(0) respectively. all these values just equals [Backup_storage] only and I'm sure that this you're not trying to get.
If instead you are trying to get sum(5,1,0) + avg(2,3,1) (obviously i have assumed + here) which equals 8 i.e. one single value for whole dataset, please proceed with this calculated field..
SUM(IF CONTAINS([SKU], 'A') OR CONTAINS([SKU], 'D')
THEN [Backup storage] END)
+
AVG(IF CONTAINS([SKU], 'B') OR CONTAINS([SKU], 'C')
THEN [Backup storage] END)
This will return an 8 when put to view
Needless to say, if you want any other operator instead of + you have to change that in CF accordingly
As per your edited post, I suggest a different methodology. Create diff groups where you want to perform different aggregations
Step-1 Create groups on SKU field. I have named this group as SKUG
Step-2 create a calculated field CF as
SUM(ZN(IF CONTAINS([SKU], 'A') OR CONTAINS([SKU], 'D')
THEN [Backup storage] END))
+
AVG(ZN(IF CONTAINS([SKU], 'B') OR CONTAINS([SKU], 'C')
THEN [Backup storage] END))
Step-3 get your desired view
Good Luck
This is driving me nuts. Let's say we want to use a slicer which has two distinct values to choose from a dimension. There is A and B.
Let us also say that my Fact table is connected to this dimension, however it has the same dimension with more options.
My slicer now has A, B and (Blank). No biggie.
Let's now say I want to list out all of the possible calculation outcomes by selecting the slicer in a DAX formula, but in my visual I need all those outcomes to be listed in an IF() branched formula:
I can list out A:
IF(MAX(SlicerDim[Column]) = "A", CALCULATE([Calculation], SlicerDim[Column] = "A")
I can list out B:
IF(MAX(SlicerDim[Column]) = "A", CALCULATE([Calculation], SlicerDim[Column] = "A")
I can list out the (Blank) calculation too:
CALCULATE([Calculation], SlicerDim[Column] = Blank())
And I've managed to get a calculation out of it even when all of the slicer elements are on or off, using:
NOT(ISFILTERED(SlicerDim[Column])), CALCULATE([Calculation], SlicerDim[Column] = "A" || SlicerDim[Column] = "B")
Notice I need this IF() branch to actually return a calculation using A & B values, so now I have returns for when A or B or (Blank) or All or None are selected; BUT NOT when multiple values of A & B are selected!
How do I write out this IF() branch for it to return the same thing, but when both A & B are selected? Since there are only two real options in the slicer - I managed to use MIN() and MAX() get it to work by using their names or Index numbers.
IF((MIN(SlicerDim[Column]) = "A" && MAX(SlicerDim[Column]) = "B") || NOT(ISFILTERED(Paslauga[Paslauga])), CALCULATE([Calculation], SlicerDim[Column] = "A" || SlicerDim[Column] = "B")
BUT - I want a more understandable/robust/reusable formula, so that I could list out many selectable values from the slicer and have it return a calculation for specifically selected slicer values.
Please, help.
I've been searching high and low and there seems to not be an easy way to fix this albeit scraping the IF route and just using a damn slicer for this type of dilemma.
TL;DR:
How do I write an IF() branch calculation using DAX to get an outcome when All/None or non-blank or Specific slicer values are selected?
My best effort:
I am looking to improve the first IF() branch to not have to use MIN/MAX, because I would like to be able to reuse this type of formula if there were more than two real options in the slicer:
IF_branch =
IF((MIN(SlicerDim[Column]) = "A" && MAX(SlicerDim[Column]) = "B" || NOT(ISFILTERED(SlicerDim[Column])), CALCULATE([Calculation], SlicerDim[Column] = "A" || SlicerDim[Column] = "B"),
IF(MAX(SlicerDim[Column]) = "A", CALCULATE([Calculation], SlicerDim[Column] = "A"),
IF(MAX(SlicerDim[Column]) = "B", CALCULATE([Calculation], SlicerDim[Column] = "B"),
CALCULATE([Calculation], SlicerDim[Column] = BLANK()))))
Think what you are looking for is CONTAINS and VALUES
VALUES will give you the distinct current selection in scope.
CONTAINS lets you check if a table contains any row with a set of values.
[]
Formulas:
selected Scenarios = CONCATENATEX(VALUES(DimScenario[ScenarioName]);[ScenarioName];";")
Contains Forecast and Budget? =
IF(
CONTAINS(VALUES(DimScenario[ScenarioName]);[ScenarioName];"Forecast") &&
CONTAINS(VALUES(DimScenario[ScenarioName]);[ScenarioName];"Budget")
;"Yes"
;"No"
)
Situation: I have table Bob where each row has a bunch of columns, including a Result, SessionID1, SessionID2.
Goal: I want to GroupBy SessionID1 and SessionID2 and see if any Results in the group are 0; I expect multiple rows to have the same ID1 and ID2 values. I then want to divide the count of groups with 0 results / the count of all groups.
Questions: I think I want something like:
GROUPBY (
Bob,
SessionID1,
SessionID2,
"Has at least 1 success",
???)
But what aggregator can I use for ??? to get a boolean indicating if any result in the group equals 0?
Also, if I want a count of groups with successes, do I just wrap the GROUPBY in a COUNT?
Consider this sample table:
You can try the following DAX to create a new summary table:
Summary = GROUPBY(Bob, Bob[SessionID1], Bob[SessionID2],
"Number of rows", COUNTX(CURRENTGROUP(), Bob[Result]),
"Number of successes", SUMX(CURRENTGROUP(), IF(Bob[Result] = 0, 1, 0)))
Then you can add a calculated column for the success ratio:
Success ratio = Summary[Number of successes] / Summary[Number of rows]
Results:
EDIT:
If what you want to calculate is something like Any success, then SUMMARIZE may be a better option to use than GROUPBY due to their function nature.
Summary2 = SUMMARIZE(Bob, Bob[SessionID1], Bob[SessionID2],
"Any success", IF(COUNTROWS(FILTER(Bob, Bob[Result] = 0)) > 0, 1, 0),
"Number of rows", COUNTROWS(Bob))
Results: