2 problems (breaking link with other doc + COUNTIFS formula does not count everything)

Test_Database_2021

New Member
Joined
Apr 6, 2021
Messages
9
Office Version
  1. 365
  2. 2016
  3. 2010
Platform
  1. Windows
Hi everyone,

So I have two questions today.

Number 1:
I accidentally kept some kind of link to another file (I only copy-pasted values).
What I now want to do is break the connection. But if I do this (see pic), clicking on "break links", it does not do anything. I keep getting the warning repeatedly.

1618563011674.png


Number 2:
The formula also shown in the pic is only doing a partial COUNTIFS (the result it gives is far too small and does not match at all what I get when filtering the data manually).
=COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!$O$9,Patients!$Z:$Z,B14)

Reasons I can think of and already checked:
- The B14 cell does not match what is in the source column Z of the other sheet. --> already checked and corrected, yes it does and there is only this spelling, no spaces
- There is some kind of unnecessary extra criterion that restricts the count --> already checked, it is a simple formula so easy to do just these filters
- There is a problem with the file --> I copy/pasted everything into a new file that is smaller, did just this calculation, and got the same problem.

Can anyone think of anything else I can do? It's a binary Excel file of 3,299KB and I only have Excel 2010 with no extra licenses. Thanks!
 

Attachments

  • 1618562951831.png
    1618562951831.png
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Excel Facts

Fastest way to copy a worksheet?
Hold down the Ctrl key while dragging tab for Sheet1 to the right. Excel will make a copy of the worksheet.
Can't post confidential data, sorry. :(
Do you think the file is too big? It doesn't show that the calculations are too slow or anything like this.
 
Upvote 0
Sorry actually I did not understand what is happening with image only
The Cells in red show the wrong result:

20210416_Liberia_Cohort_Analysis.xlsb
ABCDEF
9Mental Health - cumulative:
10Reason for discharge - nb.:%% <=2 consultations:Av. no. of weeks in care:
11Discharge: With patient's agreement - end of care44124%28%33.3
12Discharge: With patient's agreement - patient moved1026%
13N discharged:Discharge: With patient's agreement - patient is referred704%
141807Defaulter: No information from patient46826%
15Defaulter: Dissatisfied / different expectation of service111%
16All have reason recorded.Deceased221%
17
18Mental Health - cumulative:
19N discharged:Improvement (CGI-I):Nb.:%:
201807Improved (1,2,3)40522%
21No change (4)483%
22N discharged with outcome:Worsening of symptoms (5,6,7)60%
231219Unknown 58833%
24
252. Treatment Outcomes by Year of Admission ("what happened to the patients, regardless of whether their files were closed?"):
26This is just to report the evolution across the years, e.g. the percentage of patients still active from each year.
27
28Mental Health:
29Year of admission:Reason for discharge - nb.:%% <=2 consultations:Av. no. of weeks in care:
302017Discharge: With patient's agreement - end of care10612%42%
31Discharge: With patient's agreement - patient moved182%
32N admitted:Discharge: With patient's agreement - patient is referred212%
33874Defaulter: No information from patient334%
34Defaulter: Dissatisfied / different expectation of service10%
35Deceased51%
36Care ongoing465%
Treatment Outcomes
Cell Formulas
RangeFormula
C11:C16C11=COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!$O$9,Patients!$Z:$Z,B11)
D11:D16D11=C11/$A$14
E11E11=COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!O9,Patients!$Y:$Y,"<>",Patients!$AN:$AN,"<=2")/COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!O9)
F11F11=AVERAGEIFS(Patients!$AS:$AS,Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!$O$9,Patients!$Y:$Y,"<>")
A14,A20A14=COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!$O$9,Patients!$Y:$Y,"<>")
C20C20=COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!$O$9,Patients!$AB:$AB,"<=3")
D20:D23D20=C20/$A$20
C21C21=COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!$O$9,Patients!$AB:$AB,"4")
C22C22=COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!$O$9,Patients!$AB:$AB,">=5")
C23C23=COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!$O$9,Patients!$AB:$AB,"",Patients!$Y:$Y,"<>")
A23A23=COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!$O$9,Patients!$Y:$Y,"<>",Patients!$AB:$AB,"<>")
C30:C35C30=COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!$O$9,Patients!$B:$B,"<=12/31/2017",Patients!$Z:$Z,B30)
D30:D35D30=C30/$A$33
C36C36=COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!$O$9,Patients!$B:$B,"<=12/31/2017",Patients!$Y:$Y,"")
D36D36=C36/A33
E30E30=COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!O9,Patients!$B:$B,"<=12/31/2017",Patients!$Y:$Y,"<>",Patients!$AN:$AN,"<=2")/COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!O9,Patients!$B:$B,"<=12/31/2017")
A33A33=COUNTIFS(Patients!$R:$R,"<>",Patients!$R:$R,"<>"&Metadata!O10,Patients!$B:$B,"<=12/31/2017")
 
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