Forum Discussion
Summarizing data
- 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.
- 9 years ago
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]
)
)
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.