On a table os solicitations inside a PowerBI project I have multiple fields that references the same another table of users.
solicitation_id
category
region
curr_user_responsible
user_solver
solver_data
1
A
south
Thomas
2
C
north
Maria
3
A
south
Maria
2022-10-17
4
A
east
Maria
5
B
west
Joseph
6
C
south
Maria
7
C
west
Thomas
2022-10-12
8
B
south
Maria
9
B
east
Joseph
2022-10-10
10
A
north
Thomas
2022-10-09
11
C
north
Maria
I want an user slice. However, in some visualization I want to slice by "curr_user_responsible" columns, and at other, by the "user_solver" column.
For example, in a chart I want to show the number of solicitations in each category sliced by curr_user_responsible.
In a second chart, I want to show the number of solicitations in each region sliced by curr_user_responsible.
For these two, I need to slice by curr_user_responsible.
But in another chart I want to show a line couting the number of solutions by date, sliced by user_solver. In this case, I need the slice to filter by "user_solver".
I don't want to put multiple slicers in same page. Just want to choose the user once.
On this exemple, registers with curr_user_responsible filled are with user_solver empty, and vice-versa. But this is not a rule. It may occur both fields being filled at same time.
Ps. All the users are listed on another table.
My solution was to create a virtual table getting data from the solicitations table with only the solver related fields and relate this table with the users table.
solicitation (data from SQL DB)
solicitation_id
category
region
curr_user_responsible
user_solver
solver_data
1
A
south
Thomas
2
C
north
Maria
3
A
south
Maria
2022-10-17
4
A
east
Maria
5
B
west
Joseph
6
C
south
Maria
7
C
west
Thomas
2022-10-12
8
B
south
Maria
9
B
east
Joseph
2022-10-10
10
A
north
Thomas
2022-10-09
11
C
north
Maria
solicitations solver (data from solicitations table)
solicitation_id
user_solver
solver_data
1
2
3
Maria
2022-10-17
4
5
6
7
Thomas
2022-10-12
8
9
Joseph
2022-10-10
10
Thomas
2022-10-09
11
User table (data from SQL DB)
user
Maria
Thomas
Joseph
Relationships
solicitation[curr_user_responsible] <-> user[user]
solicitations solver[user_solver] <-> user[user]
I read about the USERELATIONSHIP function and I understood that it is possible to do this without creating the second table, but I failed to do this. By the way, my solution was enough.
I have two tables one with data about franchise locations (Franchise Profile Info) and one with Award data. Each franchise location is given a certain number of awards they are allowed to give out per year. Each franchise location rolls up to a larger group depending on where in the country they are located. These tables are in a 1 to 1 relationship using Franchise ID. I am trying to create a matrix with the number of awards, total utilized, and percentage utilized rolled up to group with the ability to expand the groups and see individual locations. For some reason when I add the value fields a blank row is created. There are not any blank rows in either of the original tables so I'm not sure where this is coming from.
Franchise Profile Info table
ID
Franchise Name
Group
Street Address
City
State
164
Park's
West
12 Park Dr.
Los Angeles
CA
365
A & J
East
243 Whiteoak Rd
Stafford
VA
271
Otto's
South
89 Main St.
St. Augustine
FL
Award table
ID
Year
TotalAwards
Utilized
164
2022
16
12
365
2022
5
5
271
2022
22
17
This tables are in a relationship with a 1 to 1 match on ID
What I want the matrix to look like
Group
Total Awards
Utilized
%Awards Utilized
East
5
5
100%
West
16
12
75%
South
22
17
77%
Instead what I'm getting is this
Group
Total Awards
Utilized
%Awards Utilized
East
5
5
100%
West
16
12
75%
South
22
17
77%
0
0
0%
I can't for the life of me figure out where this row is coming from. I can add in the Group and Franchise name as rows but as soon as I add any of the value columns this blank row shows up.
You have a value on the many side that does not exist on the one side. You can read a full explanation here. https://www.sqlbi.com/articles/blank-row-in-dax/
I have two tables, say table 1 and table 2.
Table 1:
Region2
Apr
May
North
50
1200
South
75
1500
East
100
750
West
150
220
Table 2:
Region2
Apr
May
North
5
12
South
10
15
East
10
15
West
15
11
I need a table 3 that is a division of table 1 and table 2
Table 3:
Region2
Apr
May
North
10
100
South
7.5
100
East
10
50
West
15
20
I managed to solve it by creating a measure which is a ratio.
In my case, table 1 had values in say rupees.
table 2 had values in say, litres
So, I created a measure which is a division of sum total rupees and sum total of litres and when I added the measure to values in pivot matrix, it automatically divided the two tables.
I have data in the following format:
Building
Tenant
Type
Floor
Sq Ft
Rent
Term Length
1 Example Way
Jeff
Renewal
5
100
100
6
47 Fake Street
Tom
New
3
500
200
12
I need to create a visualisation in PowerBI that displays a pivot table of attribute by tenant, with a weighted averages (by square foot) column, like this:
Jeff
Tom
Weighted Average (by Sq Ft)
Building
1 Example Way
47 Fake Street
-
Type
Renewal
New
-
Floor
5
3
-
Sq Ft
100
500
433.3333333
Rent
100
200
183.3333333
Term Length (months)
6
12
11
I have unpivoted the original data, like this:
Tenant
Attribute
Value
Jeff
Building
1 Example Way
Jeff
Type
Renewal
Jeff
Floor
5
Jeff
Sq Ft
100
Jeff
Rent
100
Jeff
Term Length (months)
6
Tom
Building
47 Fake Street
Tom
Type
New
Tom
Floor
3
Tom
Sq Ft
500
Tom
Rent
200
Tom
Term Length (months)
12
I can almost create what I need from the unpivoted data using a matrix (as below), but I can't calculate the weighted averages column from that matrix.
Jeff
Tom
Building
1 Example Way
47 Fake Street
Type
Renewal
New
Floor
5
3
Sq Ft
100
500
Rent
100
200
Term Length (months)
6
12
I can also create a table with my attributes as headers (instead of in a column). This displays the right values and lets me calculate weighted averages (as below).
Building
Type
Floor
Sq Ft
Rent
Term Length (months)
Jeff
1 Example Way
Renewal
5
100
100
6
Tom
47 Fake Street
New
3
500
200
12
Weighted Average (by Sq Ft)
-
-
-
433.3333333
183.3333333
11
However, it's important that these values are displayed vertically instead of horizontally. This is pretty straightforward in Excel, but I can't figure out how to do it in PowerBI. I hope this is clear. Can anyone help?
Thanks!
I've been trying to produce a result where multiple queries return more restrictive returns. How can I see the full list as well as those records that meet the more restrictive conditions? Query 1 returns 538 records of sites in the given counties.
SELECT E_SITES.ID "SITE ID",
E_SITES.NAME "SITE NAME",
E_SITES.ADDR_1 "SITE ADDRESS"
E_SITES.CITY_NAME || ', ' || E_SITES.STATE_CODE || ' ' || E_SITES.POSTAL_CODE,
E_SITES.COUNTY_NAME
FROM E_SITES
WHERE E_SITES.COUNTY_NAME IN ('ALLAMAKEE', 'BENTON', 'BLACK HAWK', 'BREMER', 'BUCHANAN', 'CHICKASAW', 'CLAYTON', 'DELAWARE', 'DUBUQUE')
ORDER BY E_SITES.ID
Query 2 returns the number of sites that have a contact person identified. This is 503 records.
SELECT E_SITES.ID "SITE ID",
E_SITES.NAME "SITE NAME",
E_SITES.ADDR_1 "SITE ADDRESS"
E_SITES.CITY_NAME || ', ' || E_SITES.STATE_CODE || ' ' || E_SITES.POSTAL_CODE,
E_SITES.COUNTY_NAME,
E_INDIVIDUALS.FIRST_NAME || ' ' || E_INDIVIDUALS.LAST_NAME
FROM E_SITES, E_AFFILIATIONS, E_INDIVIDUALS
WHERE E_SITES.SITE_ID = E_AFFILIATIONS.SITE_ID
AND E_AFFILIATIONS.INDIVIDUAL_RID = E_INDIVIDUALS.RID
AND E_AFFILIATIONS.AFFILIATION_TYPE = ('SITE_CONTACT')
AND E_SITES.COUNTY_NAME IN ('ALLAMAKEE', 'BENTON', 'BLACK HAWK', 'BREMER', 'BUCHANAN', 'CHICKASAW', 'CLAYTON', 'DELAWARE', 'DUBUQUE')
ORDER BY E_SITES.ID
A further query would return those sites with a mailing address, which reduces the results down to 486 records. I need to get all 538 records, whether or not they have a contact or mailing address, and for those that do, have one row for each site.
Additional Information
My current results can look like this for Query 1 (including column headers for clarity, quotes to distinguish data elements):
"SITE ID" "SITE NAME" "SITE ADDRESS" "CITY, STATE ZIP" "COUNTY_NAME"
"09698" "BODINE ELECTRIC" "18114 KAPP DR" "PEOSTA, IA 52067" "BREMER"
"16895" "BRUGGEMAN LUMBER" "3003 WILLOW RD" "HOPKINTON, IA 52237" "DELAWARE"
"40047" "GENEVIEVE, LLC" "707 LINCOLN ST" "GARNAVILLOR, IA 52052" "CLAYTON"
Query 2 which requires a contact person currently only returns records that meet the requirement, even though I use the (+) operator.
"SITE ID" "SITE NAME" "SITE ADDRESS" "CITY, STATE ZIP" "COUNTY_NAME" "FIRST NAME LAST NAME"
"40047" "GENEVIEVE, LLC" "707 LINCOLN ST" "GARNAVILLOR, IA 52052" "CLAYTON" "DALE KARTMAN"
I get 1 record rather than the 3 records, with 2 having no contact person and 1 with a contact person. This is my dilema. I have to run each of these queries separately, get the results and copy them to a spreadsheet. Then I have to align the records with contact names to the 1st query of all facilities. Very labor intensive. Hope this helps clarify my needs.
If I understood you correctly, it is the OUTER JOIN you're looking for.
Here's a simple example (based on Scott's EMP and DEPT tables) which shows what it is.
There are 4 departments in the DEPT table:
SQL> select deptno from dept order by deptno;
DEPTNO
----------
10
20
30
40
However, no employee works in department 40:
SQL> select deptno, ename from emp order by deptno;
DEPTNO ENAME
---------- ----------
10 KING
10 CLARK
10 MILLER
20 FORD
20 SMITH
20 JONES
30 JAMES
30 TURNER
30 MARTIN
30 WARD
30 ALLEN
30 BLAKE
12 rows selected.
SQL>
If you want to display information collected from both of those tables (department name from the DEPT table and employee name from the EMP table), you'd join those tables - just like you did (I'll use ANSI syntax which actually JOINS tables, instead of enumerating them and putting join conditions into the WHERE clause):
SQL> select d.deptno, d.dname, e.ename
2 from dept d join emp e on e.deptno = d.deptno
3 order by d.deptno;
DEPTNO DNAME ENAME
---------- -------------- ----------
10 ACCOUNTING KING
10 ACCOUNTING CLARK
10 ACCOUNTING MILLER
20 RESEARCH FORD
20 RESEARCH SMITH
20 RESEARCH JONES
30 SALES JAMES
30 SALES TURNER
30 SALES MARTIN
30 SALES WARD
30 SALES ALLEN
30 SALES BLAKE
12 rows selected.
SQL>
Looks OK, but - I'd like to get information about DEPTNO = 40, although nobody works in it. So, use outer join:
SQL> select d.deptno, d.dname, e.ename
2 from dept d left join emp e on e.deptno = d.deptno
3 order by d.deptno;
DEPTNO DNAME ENAME
---------- -------------- ----------
10 ACCOUNTING KING
10 ACCOUNTING CLARK
10 ACCOUNTING MILLER
20 RESEARCH FORD
20 RESEARCH SMITH
20 RESEARCH JONES
30 SALES JAMES
30 SALES TURNER
30 SALES MARTIN
30 SALES WARD
30 SALES ALLEN
30 SALES BLAKE
40 OPERATIONS
13 rows selected.
SQL>
Right! Here it is! (note that LEFT JOIN produces the same result as LEFT OUTER JOIN; no need to specify "outer", although it makes thinks somewhat more obvious).
Also, there's the "old" Oracle outer join operator, (+) (literally, a + sign enclosed into round brackets). The above query would work as well if we put it like this:
select d.deptno, d.dname, e.ename
from dept d, emp e
where d.deptno = e.deptno (+);
I'd suggest you do the same with (outer join) your query. Once again:
join tables in the JOIN clause
put filters into the WHERE clause
Query will be easier to read and maintain, you'll know what is what, and - if necessary (and it might even be the case for you), if you use the "old" (+) operator, you won't be able to outer join one table to more than just one another table. As you're going deeper and deeper, you might need to outer join some table to several others, and that's where ANSI join takes place.
Good luck!