I want to concat two metrices to display the dashboard
Example : metrice 1 value:
21
metrics 2 value:
100
Excpeted Output: "21/100"
Related
I am trying to reorder the Bars in bar chart in qliksense. Below is the order which I have to sort the bars.
NEW
IN_PROGRESS_PL
ASSIGNED
IN_PROGRESS_SPOC
RESOLVED/CLOSED
FBS E2S BACKLOG
CANCELLED
DUPLICATE
But by default the bars are ordered in alphabetical order or by the numbers, I have tried the below solution, but it still didn't rearranged the bars.
Default order :
Match('NEW','IN_PROGRESS_PL','ASSIGNED','IN_PROGRESS_SPOC','RESOLVED/CLOSED','FBS E2S BACKLOG' , 'CANCELLED','DUPLICATE' )
Can someone please help me to fix this issue.
The first parameter in Match is the targeted field.
If we have data like:
RawData:
Load * inline [
Stage , IdeasCount
ASSIGNED , 63
CANCELLED , 11
INTERNAL_123, 2
IN_PROGRESS1, 20
IN_PROGRESS2, 47
];
Then the sorting expression will be:
=match(Stage, 'IN_PROGRESS1', 'ASSIGNED', 'IN_PROGRESS2', 'INTERNAL_123', 'CANCELLED')
The sorting properties:
And the result chart will have the correct sorting:
P.S. (1)
Have to mention that if the value is not found in the Match function then the function will return null and thus the corresponding bar will be pushed in the front. In this case you can wrap the match in if statement and if no matching value is found then assign some large number:
= if( match(Field, 'value1', 'value2' ...) > 0,
match(Field, 'value1', 'value2' ...),
1000
)
P.S. (2)
In your case you can also use Dual function to create "default" sort order for a specific field.
If we change the script to:
RawData:
Load
Dual(Stage, OrderId) as Stage,
IdeasCount
;
Load * inline [
Stage , IdeasCount, OrderId
ASSIGNED , 63 , 2
CANCELLED , 11 , 5
INTERNAL_123, 2 , 4
IN_PROGRESS1, 20 , 1
IN_PROGRESS2, 47 , 3
]
;
The result table will look the same - with two fields only Stage and IdeasCount. But in the background each value of Stage field will have and number representation (based on the initial OrderId field). And as a side effect of that the auto sorting option will sort the field data by its internal number representation and the chart will "sort itself" correctly
I have a field where I'd like to count the number of instances the field has the max number for that given column. For example, if the max value for a given column is 20, I want to know how many 20's are in that column. I've tried the following formula but I have received a "Cannot mix aggregate and non-aggregate arguments with this function."
IF [Field1] = MAX([Field1])
THEN 1
ELSE 0
END
Try
IF ATTR([Field1]) = MAX(['Field1'])
THEN 1
ELSE 0
END
ATTR() is an aggreation which will allow you to compare aggregate and non aggregate values. As long as the value you are aggregating with ATTR() contains unique values then this won't have an impact on your data.
id datetime new_column datetime_rankx
1 12.01.2015 18:10:10 12.01.2015 18:10:10 1
2 03.12.2014 14:44:57 03.12.2014 14:44:57 1
2 21.11.2015 11:11:11 03.12.2014 14:44:57 2
3 01.01.2011 12:12:12 01.01.2011 12:12:12 1
3 02.02.2012 13:13:13 01.01.2011 12:12:12 2
3 03.03.2013 14:14:14 01.01.2011 12:12:12 3
I want to make new column, which will have minimum datetime value for each row in group by id.
How could I do it in Power BI desktop using DAX query?
Use this expression:
NewColumn =
CALCULATE(
MIN(
Table[datetime]),
FILTER(Table,Table[id]=EARLIER(Table[id])
)
)
In Power BI using a table with your data it will produce this:
UPDATE: Explanation and EARLIER function usage.
Basically, EARLIER function will give you access to values of different row context.
When you use CALCULATE function it creates a row context of the whole table, theoretically it iterates over every table row. The same happens when you use FILTER function it will iterate on the whole table and evaluate every row against the filter condition.
So far we have two row contexts, the row context created by CALCULATE and the row context created by FILTER. Note FILTER use the EARLIER to get access to the CALCULATE's row context. Having said that, in our case for every row in the outer (CALCULATE's row context) the FILTER returns a set of rows that correspond to the current id in the outer context.
If you have a programming background it could give you some sense. It is similar to a nested loop.
Hope this Python code points the main idea behind this:
outer_context = ['row1','row2','row3','row4']
inner_context = ['row1','row2','row3','row4']
for outer_row in outer_context:
for inner_row in inner_context:
if inner_row == outer_row: #this line is what the FILTER and EARLIER do
#Calculate the min datetime using the filtered rows
...
...
UPDATE 2: Adding a ranking column.
To get the desired rank you can use this expression:
RankColumn =
RANKX(
CALCULATETABLE(Table,ALLEXCEPT(Table,Table[id]))
,Table[datetime]
,Hoja1[datetime]
,1
)
This is the table with the rank column:
Let me know if this helps.
I need to divide with UPDATE command rows (selected from subselect) in PostgreSQL table into groups, these groups will be identified with integer value in one of its columns. These groups should be with the same size. Source table contains billions of records.
For example I need to divide 213 selected rows into groups, every group should contains 50 records. The result will be:
1 - 50. row => 1
51 - 100. row => 2
101 - 150. row => 3
151 - 200. row => 4
200 - 213. row => 5
There is no problem to do it with some loop (or use PostgreSQL window functions), but I need to do it very efficiently and quickly. I can't use sequence in id because there should be gaps in these ids.
I have an idea to use random integer number generator and set it as default value for a row. But this is not useable when I need to adjust group size.
The query below should display 213 rows with a group-number from 0-4. Just add 1 if you want 1-5
SELECT i, (row_number() OVER () - 1) / 50 AS grp
FROM generate_series(1001,1213) i
ORDER BY i;
create temporary sequence s minvalue 0 start with 0;
select *, nextval('s') / 50 grp
from t;
drop sequence s;
I think it has the potential to be faster than the row_number version #Richard. But the difference could be not relevant depending on the specifics.
Is there a way to use the first value of the data within a group?
For example I have the following data:
1 12/1
1 12/5
2 1/2
3 5/6
3 6/6
I would like for the data output to be: [with groups]
Group Header for 1 start date: 12/1
[Data]
Group Header for 2 start date: 1/2
[Data]
Group Header for 3 start date: 5/6
[Data]
You can define a variable, let it reset on each group, set the calculation type to 'first' and the expression to the field you want to display.