I have a view by the name of info and it's structure and data sample is the following:
id
name
contacts
1
ali
1234
1
ali
122
2
john
133
2
john
144
2
john
122
3
mike
111
4
khan
444
5
jan
122
5
jan
155
So I am using the above view data in oracle apex report. I want to search data by id for example I search for id=1, it contains two values in contacts column one of the value which is 122 is also included in another records so the result should also contain all the other records which contain 122 in their contacts column.
The expected result which I want is:
id
name
contacts
1
ali
1234
1
ali
122
2
john
133
2
john
144
2
john
122
5
jan
122
5
jan
155
We can phrase your requirement as wanting to return any record with id = 1 or any record whose contacts overlap with the contacts of id = 1.
SELECT id, name, contacts
FROM yourTable
WHERE id = 1 OR
id IN (
SELECT id
FROM yourTable
WHERE contacts IN (SELECT contacts FROM yourTable WHERE id = 1)
)
ORDER BY id;
Demo
Related
My problem is related with PowerBI report
It is example table, Real table contains 10000+ results
user
salary
date
1
123
14-10-2022
2
455
11-10-2022
3
333
13-10-2022
4
222
12-10-2022
5
111
10-10-2022
desired output:
user
salary
date
salary (date-1 day)
salary (date-3 days)
1
123
14-10-2022
333
455
2
455
11-10-2022
111
3
333
13-10-2022
222
111
4
222
12-10-2022
455
5
111
10-10-2022
How can I achieve it in PBI ?
I tried to merge tables but the dashboard was very slow after try like that.
I would do this in DAX, not Power Query.
Add a date dimension (search on this if you aren’t familiar with date dimensions), then create these DAX measures.
Salary (date-1 day) = CALCULATE( SUM(TABLE[salary]), DATEADD(DateDim[DateKey],-1,day) )
Salary (date-3 day) = CALCULATE( SUM(TABLE[salary]), DATEADD(DateDim[DateKey],-3,day) )
The following is the sample data of my table which I created it in Oracle 19c.
id
first_numbers
second_numbers
10
123
111
10
122
123
10
111
124
11
333
111
11
444
222
11
222
124
In above table some duplicate values are existed for each id, I want to remove the duplicate values for each id and I want the values of both columns to be shown in one column in the result query
The expected result which I want is:
id
concatenated_colums
10
123
10
111
10
122
10
124
11
333
11
111
11
222
11
124
Use a UNION statement:
SELECT id, first_numbers "concatenated_colums" FROM table
UNION
SELECT id, second_numbers "concatenated_colums" FROM table
I have table where with orders, articles belonging to orders and their shipping dates. What I want to do is, flag every time when shipping date changed or (when all dates for OrderID are the same) flag only once.
I tried to use calculated columns wrote in DAX, like nextdate, prevdate, nextorder, prevorder and reffer to them, but it doesn't work
I would appreciate every tip how to solve my prblem. Thanks!
OrderID
Article ID
Shipping date
Flag
123
1
01.01.2012
1
123
2
01.01.2012
0
123
1
02.01.2012
1
1234
12
15.03.2012
1
678
12
25.05.2014
1
678
345
25.05.2014
0
678
567
25.05.2014
0
I have two tables are Data and Report.
Data Table: In the Data table, two columns are Item, Qty, and Order. The Item columns contain as a text & number and qty and number column stored as text and number.
The item column is repeated according to the order and the same item column contains two different qty according to the order column.
Report Table:
I have a unique item column.
Data and Report file looks like.
Data
ITEM QTY ORDER
123 200 1
123 210 0
5678 220 1
5678 230 0
5555 240 1
6666 250 1
9876 260 1
2345 270 1
901 280 1
901 280 1
902 300 1
902 300 1
123456 200 1
123456 200 1
123456 210 1
123456 210 1
123456 0 1
567 200 1
567 210 1
567 210 1
567 0 1
453 5000 1
453 5000 1
453 5000 1
453 5000 1
112 5000 1
112 5000 1
112 5000 1
112 5000 1
116 5000 1
116 5001 1
116 0 1
116 0 1
116 5000 0
116 5001 0
116 0 0
116 0 0
Report
ITEM DESIRED RESULT (QTY)
123 200
5678 220
5555 240
6666 250
9876 260
2345 270
901 280
902 300
123456 MIXED
567 MIXED
4444 NA
12 NA
10 NA
453 5000
112 5000
116 MIXED
Expand snippet
Desired Result
I would like to pull the qty against the order “1” from the data table into the report table according to the item.
If the item is found in the data table then return the qty in the report table according to the item. {Please refer to the “Data” and “Report table for item 123 and 5678 etc….}
If an item is not found in the data table then return “NA” in the report table according to the item. {Please refer to the “Data” and “Report table for item 10, 12,444}
The same item contains two different qty then returns as a text “Mixed” in the report table according to the item. {Please refer to the “Data” and “Report table for item 123456,116 & 567}
Currently I am using the following calculated column CURRENT DAX FOR QTY = LOOKUPVALUE(DATA[QTY],DATA[ITEM],'DESIRED RESULT'[ITEM],DATA[ORDER],1,"NA") enter image description here
It’s almost working fine but it’s giving the wrong result “NA” were two different qty for the same item & two different order (0,1) or (1) or (o) {Please refer to the “Data” and “Report table for item 123456, 116 & 567} but the desired result is “Mixed” those three items.
Note: I convert the qty column from number to text otherwise it gives an error, is there any alternative option to achieve my result.
Herewith attached the PBI file for your reference https://www.dropbox.com/s/hf40q27pvn3ij2g/DAX-LOOKUPVALUE%20FILTER%20BY.pbix?dl=0.
If I'm understanding correctly, this can be done with the method I suggested previously with the addition of a filter for DATA[ORDER] = 1.
IF (
CALCULATE ( DISTINCTCOUNT ( DATA[QTY] ), DATA[ORDER] = 1 ) > 1,
"MIXED",
CALCULATE ( SELECTEDVALUE ( DATA[QTY], "NA" ), DATA[ORDER] = 1 )
)
I have large dataset of a few million patient encounters that include a diagnosis, timestamp, patientID, and demographic information.
We have found that a particular type of disease is frequently comorbid with a common condition.
I would like to count the number of this type of disease that each patient has, and then create a histogram showing how many people have 1,2,3,4, etc. additional diseases.
This is the format of the data.
PatientID Diagnosis Date Gender Age
1 282.1 1/2/10 F 25
1 282.1 1/2/10 F 87
1 232.1 1/2/10 F 87
1 250.02 1/2/10 F 41
1 125.1 1/2/10 F 46
1 90.1 1/2/10 F 58
2 140 12/15/13 M 57
2 282.1 12/15/13 M 41
2 232.1 12/15/13 M 66
3 601.1 11/19/13 F 58
3 231.1 11/19/13 F 76
3 123.1 11/19/13 F 29
4 601.1 12/30/14 F 81
4 130.1 12/30/14 F 86
5 230.1 1/22/14 M 60
5 282.1 1/22/14 M 46
5 250.02 1/22/14 M 53
Generally, I was thinking of a DO loop, but I'm not sure where to start because there are duplicates in the dataset, like with patient 1 (282.1 is listed twice). I'm not sure how to account for that. Any thoughts?
Target diagnoses to count would be 282.1, 232.1, 250.02. In this example, patient 1 would have a count of 3, patient 2 would have 2, etc.
Edit:
This is what I have used, but the output is showing each PatientID on multiple lines in the output.
PROC SQL;
create table want as
select age, gender, patientID,
count(distinct diagnosis_description) as count
from dz_prev
where diagnosis in (282.1, 232.1)
group by patientID;
quit;
This is what the output table looks like. Why is this patientID showing up so many times?
Obs AGE GENDER PATIENTID count
1 55 Male 107828695 1
2 54 Male 107828695 1
3 54 Male 107828695 1
4 54 Male 107828695 1
5 54 Male 107828695 1
If you include variables that are neither grouping variables or summary statistics then SAS will happily re-merge your summary statistics back with all of the source records. That is why you are getting multiple records. AGE can usually vary if your dataset covers many years. And GENDER can also vary if your data is messy. So for a quick analysis you might try something like this.
create table want as
select patientID
, min(age) as age_at_onset
, min(gender) as gender
, count(distinct diagnosis_description) as count
from dz_prev
where diagnosis in (282.1, 232.1)
group by patientID
;
I think you can get what you want with an SQL statement
PROC SQL NOPRINT;
create table want as
select PatientID,
count(distinct Diagnosis) as count
from have
where Diagnosis in (282.1, 232.1, 250.02)
group by PatientID;
quit;
This filters to only the diagnoses you are interested in, counts the distinct times they are seen, by the PatientID, and saves the results to a new table.