Forum Discussion
Summarizing data
Hello,
I am new to using Power Bi. Any help would be highly appreciated.
I have the same patient listed several times since every hour we are checking if they are on medication. I have the hospital hours which is basically the difference between the admit and discharge date (in hours). While summarizing the on_med, i need to consider the hosp_hours field only once per patient (its repeating currently). I have shown only 2 patients here for simplicity but i have around 1000 patients in my data.
HAVE
patient admit_date discha_date on_med hosp_hrs
pat1 Dec20,2016 4:20pm Dec21,2016 4:20pm 0 24
pat1 Dec20,2016 4:20pm Dec21,2016 4:20pm 1 24
pat1 Dec20,2016 4:20pm Dec21,2016 4:20pm 1 24
pat1 Dec20,2016 4:20pm Dec21,2016 4:20pm 1 24
pat2 Dec20,2016 4:20pm Dec21,2016 4:20am 0 12
pat2 Dec20,2016 4:20pm Dec21,2016 4:20am 1 12
WANT
patient on_med hosp_hrs percent_hours
pat1 3 24 3/24*100= 12.5%
pat2 1 12 3/24*100= 8.3%
TOTAL 4 36 4/36*100=11.11%
- Anonymous9 years ago
Adapting the SUMMARIZE idea from tommcmaster to get rid of the duplicate records for admit_date and discha_date, you can get the result you want as follows, without creating extra tables:
Create a measure to calculate the hours in hospital, that caters for the weird way that a Power BI matrix or Excel PowerPivot total works (see https://www.powerpivotpro.com/2012/03/subtotals-and-grand-totals-that-add-up-correctly/ as background):
Hospital Hours = IF ( HASONEVALUE ( PatientData[patient] ), MAX ( [hosp_hrs] ), SUMX ( SUMMARIZE ( PatientData, PatientData[patient], PatientData[hosp_hrs] ), [hosp_hrs] ) )If you're only dealing with a few thouand patient records, this should perform fine.
I prefer to create an explicit measure for Total Meds, for readability and traceability (it looks better as a column header, and you don't have to dig into the visual in a few months time to see that it's a Sum, not an Average etc.:
Total Meds = SUM( PatientData[on_med] )
Create a measure for your percent_hours, and format as a percentage via the Modelling tab:
Meds Percentage = DIVIDE ( [Total Meds], [Hospital Hours] )
Drag a Matrix visual onto your canvas, with patient as Rows, and your three new measures as Values.
Done.
Hello Steve,
Thanks for the reply and your recommendations helped me get what i wanted.
So it works fine when we create measures rather than row by row for percentage calculations?
in the hospital Hours calculation below :
- first the IF condition is used to get a single value using HASONEVALUE (since we have the same value of hosp_hrs repeated several times for a patient) and then take the max value ?
- What is SUmmarize function within SUMX for?
- If there was a single value for Hosp_hrs (basically single row per patient) in my dataset , can I bypass all these steps? or would power Bi still add up the percentages by default and give me percentages greater than 100%?
Thanks a lot
Hospital Hours =
IF (
HASONEVALUE ( PatientData[patient] ),
MAX ( [hosp_hrs] ),
SUMX (
SUMMARIZE ( PatientData, PatientData[patient], PatientData[hosp_hrs] ),
[hosp_hrs]
)
)
9 Replies
- tommcmasterFrequent Visitor
Hi,
I think you could use CALCULATE or SUMMARIZE to do this. Will all the values in hosp_hours all be the same per each patient? So will pat1 always have 24 hours?
http://www.wiseowl.co.uk/blog/s2480/summarize.htm gives a good first explanation of SUMMARIZE.
In the Data view you could try.
NewTable =SUMMARIZE('YourDataSet', 'YourDataSet'[Patient], 'YourDataSet'[hosp_hours],"new_onmed", SUM('YourDataSet'[on_med]))
That will give you a new table and you can then add a calculated column to the end for your percent_hours.
Tom.
- karkarHelper III
Hello Tom, Thanks for the reply. Yes, the values in hosp_hours will always be the same for each patient.
Also i wrote a SQL code to come up with the data i currently have. The new table calcualtion you have mentioned uses my current table and creates another table?
Thanks
- tommcmasterFrequent Visitor
Hi,
Yes, you can click on the Data icon in the menu on the left and use the New Table button. If you add the formula to the forumla bar that appears then you can find the new table that's made in your data sets.
Tom.