relatively new to PowerBI/PowerQuery/DAX and have become stuck at the following problem. I am unsure what road to go down to get the best outcome and would appreciate any help.
My data table is connected to a time tracking application. A User will enter a time entry everytime they complete a task. The task can be either a Project task or an Admin task. When selecting either of these, there will be multiple sub-categories beneath each, each with its own ID. This translates to my table as the following :
User ProjectID AdminID Hours Date
John 1 2 01/01/22
John 11 1 01/01/22
John 4 1 01/01/22
John 12 3 01/01/22
John 13 1 01/01/22
Pete 7 1 01/01/22
Pete 2 4 01/01/22
Pete 3 2 01/01/22
Mike 1 6 01/01/22
Mike 9 1 01/01/22
Mike 10 1 01/01/22
My objective is, for each Date in the table, to calculate the total hours spent either doing Project tasks or Admin tasks. I am not concerned about the specific breakdown (ie the sum of the unique IDs), rather the overall total. The above example covers just one day, in reality my data covers multiple years. My expected output will look like this :
User TotalProject TotalAdmin Date
John 3 5 01/01/22
John 3 4 01/02/22
John 5 2 01/03/22
Pete 5 1 01/01/22
Pete 1 8 01/02/22
Pete 6 2 01/03/22
Mike 6 2 01/01/22
Mike 6 1 01/02/22
Mike 7 2 01/03/22
I am unsure the best method to achieve this - either by creating some kind of column in the table through PowerQuery? Or a calculated column using DAX? And if so, what the SUM syntax would look like?
Very willing to learn, to any tips would be greatly appreciated!
For your sample input, just create 2 measures.
Total Admin = CALCULATE( SUM('Table'[Hours]), NOT(ISBLANK('Table'[AdminID])))
Total Project = CALCULATE( SUM('Table'[Hours]), NOT(ISBLANK('Table'[ProjectID])))
Related
I am hoping for a formula to take hours from the name columns and sum/average them by week, into a separate table like the 2nd one below. The formulas need to update upon changing the start and end week cells.
Body Part
Start Week
End Week
Arnold (hours)
Usain (hours)
Bob (hours)
Arms
1
3
6
3
0
Legs
1
6
12
36
20
Chest
2
4
6
2
2
Booty
4
6
9
12
3
Core
1
5
10
5
5
Formula Needed:
Hours
Arnold
Usian
Bob
Week 1
6
8
4.33
Week 2
8
8.67
5
Week 3
8
8.67
5
Week 4
9
11.67
6
Week 5
7
11
5.33
Week 6
5
10
4.33
Bonus if there is a way to also quickly average hours by body parts if for example there are multiple Arms rows.
try:
=ARRAYFORMULA(LAMBDA(a, b, QUERY(SPLIT(FLATTEN(BYCOL(D1:F1, LAMBDA(xx, FLATTEN(IF(
IF(a>=SEQUENCE(1, MAX(a)), "Week "&TEXT(SEQUENCE(1, MAX(a))+b, "00"), )="",,
REGEXEXTRACT(OFFSET(xx,,,1), "(.+) \(")&"×"&
IF(a>=SEQUENCE(1, MAX(a)), "Week "&TEXT(SEQUENCE(1, MAX(a))+b, "00"), )&"×"&
QUERY({REGEXEXTRACT(OFFSET(xx,,,1), "(.+) \("); OFFSET(xx,1,,9^9)/(a)}, "offset 1", )))))), "×"),
"select Col2,sum(Col3) where Col3>0 group by Col2 pivot Col1"))
(C2:INDEX(C:C, MAX(ROW(C:C)*(C:C<>"")))-B2:INDEX(B:B, MAX(ROW(B:B)*(B:B<>"")))+1,
B2:INDEX(B:B, MAX(ROW(B:B)*(B:B<>"")))-1))
I have data for different companies. The data stops at day 10 for one of the companies (Company 1), day 6 for the others. If Company 1 is selected with other companies, I want to show the average so that the data runs until day 10, but using day 7, 8, 9, 10 values for Company 1 and day 6 values for others.
I'd want to just fill down days 8-10 for other companies with the day 6 value, but that would look misleading on the graph. So I need a DAX equation with some magic in it.
As an example, I have companies:
Company 1
Company 2
Company 3
etc. as a filter
And a table like:
Company
Date
Day of Month
Count
Company 1
1.11.2022
1
10
Company 1
2.11.2022
2
20
Company 1
3.11.2022
3
21
Company 1
4.11.2022
4
30
Company 1
5.11.2022
5
40
Company 1
6.11.2022
6
50
Company 1
7.11.2022
7
55
Company 1
8.11.2022
8
60
Company 1
9.11.2022
9
62
Company 1
10.11.2022
10
70
Company 1
11.11.2022
11
NULL
Company 2
1.11.2022
1
15
Company 2
2.11.2022
2
25
Company 2
3.11.2022
3
30
Company 2
4.11.2022
4
34
Company 2
5.11.2022
5
45
Company 2
6.11.2022
6
100
Company 2
7.11.2022
7
NULL
Every date has a row, but for days over 6/10 the count is NULL. If Company 1 or Company 2 is chosen separately, I'd like to show the count as is. If they are chosen together, I'd like the average of the two so that:
Day 5: AVG(40,45)
Day 6: AVG(50,100)
Day 7: AVG(55,100)
Day 8: AVG(60,100)
Day 9: AVG(62,100)
Day 10: AVG(70,100)
Any ideas?
You want something like this?
Create a Matriz using your:
company_table_dim (M)
calendar_Days_Table(N)
So you will have a new table of MXN Rows
Go to PowerQuery Order DATA and FillDown your QTY column
(= Table.FillDown(#"Se expandió Fact_Table",{"QTY"}))
So your last known QTY will de filled til the end of Time_Table for any company filters
Cons: Consider your new Matriz MXN it could be millions of rows to calculate
Greetings
enter image description here
I have a fact table named meetings containing the following:
- staff
- minutes
- type
I then created a summarized table with the following:
TableA =
SUMMARIZECOLUMNS (
'meetings'[staff]
, 'meetings'[type]
, "SumMinutesByStaffAndType", SUM( 'meetings'[minutes] )
)
This makes a pivot table with staff as rows and columns as types.
For this pivottable I need to calculate each cell as a percent of the column total. For each staff I need the average of their percents. There are only 5 meeting types so I need the sum of these percents divided by 5.
I don't know how to divide one number grouped by two columns by another number grouped by one column. I'm coming from the SQL world so my DAX is terrible and I'm desperate for advice.
I tried creating another summarized table to get the sum of minutes for each type.
TableB =
SUMMARIZECOLUMNS (
'meetings'[type]
, "SumMinutesByType", SUM( 'meetings'[minutes] )
)
From there I want 'TableA'[SumMinutesByStaffAndType] / 'TableB'[SumMinutesByType].
TableC =
SUMMARIZECOLUMNS (
'TableA'[staff],
'TableB'[type],
DIVIDE ( 'TableA'[SumMinutesByType], 'TableB'[SumMinutesByType]
)
"A single value for column 'Minutes' in table 'Min by Staff-Contact' cannot be determined. This can happen when a measure formula refers to a column that contains many values without specifying an aggregation such as min, max, count, or sum to get a single result."
I keep arriving at this error which leads me to believe I'm not going about this the "Power BI way".
I have tried making measures and creating matrices on the reports view. I've tried using the group by feature in the Query Editor. I even tried both measures and aggregate tables. I'm likely overcomplicating it and way off the mark so any help is greatly appreciated.
Here's an example of what I'm trying to do.
## Input/First table
staff minutes type
--------- --------- -----------
Bill 5 TELEPHONE
Bill 10 FACE2FACE
Bill 5 INDIRECT
Bill 5 EMAIL
Bill 10 OTHER
Gary 10 TELEPHONE
Gary 5 EMAIL
Gary 5 OTHER
Madison 20 FACE2FACE
Madison 5 INDIRECT
Madison 15 EMAIL
Rob 5 FACE2FACE
Rob 5 INDIRECT
Rob 20 TELEPHONE
Rob 45 FACE2FACE
## Second table with SUM of minutes, Grand Total is column total.
Row Labels EMAIL FACE2FACE INDIRECT OTHER TELEPHONE
------------- ------- ----------- ---------- ------- -----------
Bill 5 10 5 10 5
Gary 5 5 10
Madison 15 20 5
Rob 50 5 20
Grand Total 25 80 15 15 35
## Third table where each of the above cells is divided by its column total.
Row Labels EMAIL FACE2FACE INDIRECT OTHER TELEPHONE
------------- ------- ----------- ------------- ------------- -------------
Bill 0.2 0.125 0.333333333 0.666666667 0.142857143
Gary 0.2 0 0 0.333333333 0.285714286
Madison 0.6 0.25 0.333333333 0 0
Rob 0 0.625 0.333333333 0 0.571428571
Grand Total 25 80 15 15 35
## Final table with the sum of the rows in the third table divided by 5.
staff AVERAGE
--------- -------------
Bill 29.35714286
Gary 16.38095238
Madison 23.66666667
Rob 30.5952381
Please let me know if I can clarify an aspect.
You can make use of the built in functions like %Row total in Power BI, Please find the snapshot below
If this is not what you are looking for, kindly let me know (I have used your Input table)
I have 2 dataframes like so,
ID employee group
1 Bob Accounting
2 Jake Engineering
3 Lisa Engineering
4 Sue HR
ID employee hire_date
1 Lisa 2004
2 Bob 2008
3 Jake 2012
4 Sue 2014
Now I'd like to merge these two dataframes on the employee column. Only the thing is, rather than mentioning the column name employee, I need to mention only the position of the employee column which I will know.
Simply put, I would like to merge the 2 dataframes on employee column without mentioning the column name, rather by mentioning column position only.
Now I tried something like this,
import pandas as pd
df1 = pd.DataFrame({'ID':[1,2,3,4], 'employee': ['Bob', 'Jake', 'Lisa', 'Sue'],
'group': ['Accounting', 'Engineering', 'Engineering', 'HR']})
df2 = pd.DataFrame({'ID':[1,2,3,4],'employee': ['Lisa', 'Bob', 'Jake', 'Sue'],
'hire_date': [2004, 2008, 2012, 2014]})
merged = pd.merge(df1, df2, left_on=df1.ix[:,[1]], right_on=df2.ix[:,[1]])
But it is throwing ValueError. So could somebody help me with this?
Try this:
df1.merge(df2, right_on=df2.columns[1], left_on=df1.columns[1])
Output:
ID_x employee group ID_y hire_date
0 1 Bob Accounting 2 2008
1 2 Jake Engineering 3 2012
2 3 Lisa Engineering 1 2004
3 4 Sue HR 4 2014
You can use list(df) to access a list of column names which you can reference by position:
merged = pd.merge(df1, df2, left_on = list(df1)[1], right_on = list(df2)[1])
Output:
ID_x employee group ID_y hire_date
0 1 Bob Accounting 2 2008
1 2 Jake Engineering 3 2012
2 3 Lisa Engineering 1 2004
3 4 Sue HR 4 2014
I have two tables whose pseudo structure would be something as follows:
User_master
user pfid
------------
reno 2
andrew 3
reno 4
rosh 5
rosh 8
john 7
HR_master
user pfid
-------------
andrew 3
reno 4
rosh 9
john 12
Roaster_master
user pfid
--------------
andrew 3
reno 4
rosh 10
john 12
I need to join all 3 tables on column user and find the rows in HR_master where pfid doesn't match with any equivalent entry in User_master. If you note one of the entry for "reno" matches, while none of the entry for "rosh" matches.
It would have been an easy tasks if there were only one entry in User_master,the complication arise because of multiple rows.
The expected output is
USM.user USM.pfid HRM.pfid RM.pfid
-----------------------------------------
rosh 5|8 9 10
john 7 12 12
As asked, here is the query that I have compiled:
select
UM.email,UM.pfid as UMpfid,
HRM.pfid, RM.pfid
from user_master UM
left join HR_master HRM on (HRM.email=UM.email)
left join Roaster_master RM on (RM.email=UM.email)
where UM.pfid != HRM.pfid
The above query returns "reno" as well, whereas it should not come as one of the row in User_master has pfid matching.