In PowerBI, I have a table with data in days
Table 1
Day
Order
1/1/2022
3
1/31/2022
5
2/2/2022
7
2/11/2022
12
3/1/2022
31
4/31/2022
5
4/2/2022
7
6/11/2022
21
And I want to have a summary table for months like
Table 1
Month
Order
1 2022
8
2 2022
19
3 2022
31
4 2022
12
6/11/2022
21
How can I do that using DAX?
Sure. Create a Calculated Table using the SUMMARIZECOLUMNS function.
Something like:
OrdersByMonth = summarizecolumns(MyTable[Month], "Orders", sum(MyTable[Orders]))
Related
I have two tables in PowerBI, one modified date and one fact for customer scores. The relationship will be using the "Month Num" column. Score assessments take place every June, so I would like to be able to have the scores for 12 months (June 1 to June 30) averaged. Then I will just have a card comparing the Previous year score and Current year score. Is there a way to do this dynamically, so I do not have to change the year in the function every new year? I know using the AVERAGE function will be nested into the function somehow, but I am getting confused not using a calendar year and not seasoned enough to use Time Intelligence functions yet.
Customer Score Table
Month
Month Num
Year
Score
Customer #
June
6
2020
94.9
11111
July
7
2020
97
11111
months
continue
2020
100
June
6
2021
89
22222
July
7
2021
91
22222
months
continue
2021
100
June
6
2022
93
33333
July
7
2022
94
33333
Date Table
Month
Month Num
Month Initial
january
1
J
feb
2
F
march
3
M
other
months
continued
I have two tables.
A campagin table:
Campaign ID
Start Date
End Date
Daily Target
1
21/12/2020
15/02/2021
5
2
18/10/2020
18/01/2021
3
3
01/07/2020
03/01/2021
8
4
09/01/2021
15/05/2021
1
5
05/08/2020
09/01/2021
2
And a simple Date table:
Date
01/01/2021
02/01/2021
03/01/2021
04/01/2021
05/01/2021
06/01/2021
07/01/2021
08/01/2021
09/01/2021
10/01/2021
11/01/2021
12/01/2021
13/01/2021
What I would like to do is add a calculated column to the Date table that will calculate the sum of all the Daily Targets for campaigns that are between Start Date and End Date. So for 1st January 2021 I want to take the sum of the Daily Targets for Campaign 1, 2, 3 & 5. E.g:
Date
Total Daily Target
01/01/2021
18
02/01/2021
18
03/01/2021
18
04/01/2021
10
05/01/2021
10
06/01/2021
10
07/01/2021
10
08/01/2021
10
09/01/2021
9
10/01/2021
9
11/01/2021
9
12/01/2021
9
13/01/2021
9
I'm quite new to DAX and have tried multiple different variations of SUM(), SUMX() & FILTER() within CALCULATE(), all to no avail. I also don't know what the relationship between the two tables should be seeing as there are two dates in the Campaign table? Any help at all would be greatly appreciated.
Try this below Measure-
Measure =
var current_row_date = MIN('date'[Date])
RETURN
CALCULATE(
SUM(campaign[Daily Target]),
campaign[Start Date] <= current_row_date
&& campaign[End Date] >= current_row_date
)
output-
I have the following tbl_Episodes table (50K records):
ID Month
22 01/01/2019
22 02/01/2019
22 03/01/2019
22 04/01/2019
22 05/01/2019
23 03/01/2020
23 06/01/2020
I need to create a calculated column in DAX language, that will place "1" value on each row where it'll be the beginning or the end of the Quarter, otherwise - "0" value, as:
ID Month NewColumn
22 01/01/2019 1
22 02/01/2019 0
22 03/01/2019 1
22 04/01/2019 0
22 05/01/2019 0
23 03/01/2020 1
23 06/01/2020 1
There are only 4 quarters, the simpler way is to switch dates :
Add to your calendar table columns :
(Consider that your calendar table has "Year" columns)
SWITCH([MONTH],date(1,1,[Year]),1,date(31,03,[Year]),1,
date(1,4,[Year]),1,date(30,6,[Year]),1
,date(1,7,[Year],1,date(30,9,[Year]),1
,date(1,10,[Year]),1,date(31,12,[Year]),1,0)
I am trying to create a variance measure in PowerBI.
This is the data that I have,
Month Year MonthNo Value
Jan 2016 1 700
Feb 2016 2 800
March 2016 3 900
April 2016 4 750
.
.
Jan 2017 13 690
Feb 2017 14 730
And My variance for the Month Number 7 should be like,
`{Avg(values(4,5,6) - Value(7)} / Value(7)`
i.e (Average of last 3 months value - current month value) / Current month value
How to do this in Power BI? Thanks.
If it is okay for you to use a column, I believe you could add one with this code to get what you want:
Variance = (CALCULATE(AVERAGEX(Sheet1,Sheet1[Value]),FILTER(FILTER(Sheet1,Sheet1[MonthNo]<=EARLIER(Sheet1[MonthNo])-1),Sheet1[MonthNo]>=EARLIER(Sheet1[MonthNo])-3))-Sheet1[Value])/Sheet1[Value]
You'll need to replace all instances of Sheet1 with the name of your table.
It'll give you something like this:
I need to select a median value for each id, in each age range. So in the following table, for id = 1, in age_range of 6 months, I need to select value for row 2. Basically, I need to create a column per id where only median for each range is selected.
id wt age_range
1 22 6
1 23 6
1 24 6
2 25 12
2 24 12
2 44 18
If I understand correctly, you're looking to make a new column where for each id and age_range you have the median value for comparison. You could do this in base SAS by using proc means to output the medians and then merge it back to the original dataset. However proc sql will do this all in one step and to easily name your new column.
proc sql data;
create table want as
select id, wt, age_range, median(wt) as median_wt
from have
group by id, age_range;
quit;
id wt age_range median_wt
1 24 6 23
1 22 6 23
1 23 6 23
2 24 12 24.5
2 25 12 24.5
2 44 18 44