I'm currently working with a dataset with a fairly unusual setup. I'm trying to sum the number of responses based on the course and question ID for 40k+ entries. Each question is broken into four response categories. I'm trying to sum the number of responses for each question so I can then break down the response percentage per question, per course. In the example below I'm trying to sum 6+1, 5+2, 5+2, 4+3, etc. But I have hundreds of course names, each with question IDs ranging from 1 to 26.
Like #Scott Craner said, I believe a pivot table would do the trick for you here:
The percentage column would be another instance of "Resp Cnt", where you show values as a % of Parent Row Total.
Related
Hopefully the title makes some sense because I'm trying to wrap my head around the logic and I'm not quite sure how to phrase the question.I'll try to give a brief explanation of the end goal without over complicating it with unnecessary details.
I have a table of survey score averages for every month per person and a correlating table with the number of surveys each person received for each month. The logic is essentially multiple the score for each month by the number of surveys, combine them, divide by the total number of surveys within that time period to get their true average. Where things get a little complicated is that I have to include the ability to set a custom date range and return the value. So sometimes I might be looking at the average for Jan - Apr, other times I might just be looking at Feb-Mar etc.
I think sumproduct is going to get what I need done but I'm running into issues trying to write it out. I've written it several different ways and none of them worked so here's one that best conveys what I'm trying to do,
=SUMPRODUCT(--(F7:I7,L7:O7>=C2),--(F7:I7,L7:O7<=C3),--(E8:E12,K8:K12=B9),tbl_average[[Jan-20]:[Apr-20]],tbl_surveys[[Jan-20]:[Apr-20]])
I super appreciate any assistance I can get on this. I'm hoping the end result is not nearly as difficult as I'm making it out to be.
Some additional information:
I'm going to be using this same process to calculate multiple metrics across multiple worksheets.In the test example each of the tables will most likely be on different sheets. The dashboard with the calculated results will contain everyone's names and will be filtered and rearranged frequently, so I need to make sure we're always matching directly to their names and not just the relative rows. Basically, in my example I show that Agent 1 is always lined up on row 8 but that's not always going to be the case. Agent 1 could be in Row 8 on Sheet 1, Row 10 on Sheet 2, and Row 12 on Sheet 3 and I need all the correct values to multiply and sum against one another.
I am required to do some summary statistics on the attached table as an example.
Some of the questions to answer include:
1) How many countries with valid time series (countries that have at least one value/number for a given indicator name over the time period of 2010-2015)
e.g: Count how many countries have valid times series for the indicator: "Number of completed applications"
2) For a given country and indicator what is the number of year(s) with valid time series.
e.g: For the indicator number of completed applications and the country Canada? (Answer: 2 --> 2014, 2015)
Alternatively, if the table look like this instead (which is a typical csv format) what approach could be taken to answer the two summary statistics questions above?
I have tried method of sumproduct formula for the pivoted table. Is there a better way than this method?
=SUMPRODUCT(N((B2:B14>0)+(C2:C14>0)+(D2:D14>0)+(E2:E14>0)+(F2:F14>0)+(G2:G14>0)+(H2:H14>0)+(I2:I14>0)+(J2:J14>0)>0))
But what about when it is a flat table?
So, an example of countifs() and also sumifs():
From Nevsky -- Thanks a lot for the example! I took the liberty to modify it a bit as follows :
Can I define different aggregation methods for subtotals in different dimension in an Excel pivot table?
The following example shows a result I'm trying to obtain. The metric to aggregate is, let's say, lines of code of a software project. The 2 dimensions in question are Date and Organization. In source data, Organization is broken down into 2 columns, Department and Project, while Date is a single column and Excel makes up the Months/Years summaries automatically when making the ODBC data connection.
A metric such as this one should be aggregated differently along the different dimensions. For the Organization dimension, the subtotal for all projects of the department is the SUM, but in the date dimension, the subtotal for all months of the year is the MAX of any given month (or perhaps AVG, or last etc. but certainly not SUM).
I've tried to define the different aggregation methods in Excel in the field settings, but it always selects one or the other method for both dimensions. Is there a way to do it, preferably using standard Pivot Table mechanisms or at worst a UDF in Excel?
What I would do to tackle this problem is to add both aggregation functions: sum and max , then hide ( or shrink a lot ) those columns you do not want to display.
in the above example I shrink columns B,D,F and I because of they has values that are out of scope for your requirements.
The "Total Max of Loc" displays a value consistent with the function expressed throughout the entire column: that is "the maximum number of lines of code reached by each project in each department; this could lead to misunderstandings when we observe the values of the subtotals and grand total; i.e: The "Grand Total - Total Max of Loc" is not the "Total Max of Sum of Loc": in the example, it shows 18 which represents the absolute maximum value of Loc in a Project in each Department; In the same way the Total Max of Loc for Department 2 is 18 and form Department 1 is 12
When requested a different behavior as expressed in comment to this answer, I think we are entering into the strong customizations space and some solution could be found by writing custom macro and by leveraging the getpivotdata function or, if it can be acceptable for your case, simply by the addition of a new column with the max()formula and possibly hiding the column "Total Max of Loc"
I'm involved with a youth football tournament on the referee side, with assessing/coaching the referees. I've just taken over doing the data entry for the referees assessment scores which we then use to determine who gets finals etc and am looking to extract more usable information from the data to help us identify trends.
I've got (up to) 200 referees, each receiving from none to two assessment scores each day for 5 days. The scores are entered as both the raw mark and the weighted mark based on match difficulty (along with a host of other data about the match that isn't relevant to this issue.
I can extract the average mark (raw and weighted) across all referees without issues and have done so using the below formula, which is the raw average mark:
=AVERAGE(Working!AK4:AK200,Working!BK4:BK200,Working!CL4:CL200,Working!DL4:DL200,Working!EM4:EM200,Working!FM4:FM200,Working!GN4:GN200,Working!HN4:HN200,Working!IO4:IO200,Working!JO4:JO200)
But I also want to extract the average mark (raw and weighted) across two subsets - Academy and non academy referees, to help plot trends and determine where resources need to be utilised.
I've attempted to use an AVERAGEIF formula, but am getting a #VALUE! return. This is the formula that I've attempted to use to return the average raw mark for those referees in the academy:
=AVERAGEIF(Working!G4:G200,Working!G4:G200="Yes",(Working!AK4:AK200,Working!BK4:BK200,Working!CL4:CL200,Working!DL4:DL200,Working!EM4:EM200,Working!FM4:FM200,Working!GN4:GN200,Working!HN4:HN200,Working!IO4:IO200,Working!JO4:JO200))
If I do the same formula as above, but without the brackets around the [average_range], I get a 'you've used too many arguments, and it highlights BK200.
From what I've been able to find so far online, it seems that the formula I'm trying to use would only work if ALL the cells in (Working!G4:G200) returned "Yes". However if there are only 50 academy referees as indicated by "Yes" in G column, then I want those specific scores to be averaged, and the inverse for the non-academy referees.
I thought about having another sheet, which would simply contain populate from Column G (a simple =G4 and then populated down to =G200 next to all of the scores), consolidated into a block of raw marks columned under Assessment 1, 2, 3, 4.... and then the same for all of the weighted marks which would populate from the equivalent cell on the working sheet, but there's a lot of filtering, and re-sorting that goes on on the working sheet, and I'm not 100% certain that that wouldn't cause issues.
Any feedback on how to work through this problem, so that I can display the overall average mark for academy and non-academy referees in both raw and weighted form would be much appreciated, and I apologize if this post is rather convoluted.
I don't think there is a neat solution if the scores are in several columns which are not consecutive.
My suggestion is:-
(1) Work out the sum for each column separately and total them up
(2) Work out the count for each column separately and total them up
(3) Divide Sum by Count to get Average.
In my small example below with 3 referees and 3 columns:-
(1) In K2:-
=SUMIF(H2:H4,"Yes",B2:B4)+SUMIF(H2:H4,"Yes",D2:D4)+SUMIF(H2:H4,"Yes",F2:F4)
(2) In K3:-
=COUNTIFS(B2:B4,">=0",H2:H4,"Yes")+COUNTIFS(D2:D4,">=0",H2:H4,"Yes")+COUNTIFS(F2:F4,">=0",H2:H4,"Yes")
(3) In K4:
=K2/K3
This would include any zero scores (if this is possible) but exclude any blanks.
You can then scale it up to your data.
Beyond this, you would have to change the data structure either
(1) Add a row to label the columns that you want to average e.g.
Score 1 Score 2 Score 3
3 0 3
so you could pick up only the columns labelled 3 say
Here's how it would be in my small example:-
In K3:-
=SUM((B$2:F$2=3)*($H3:$H5="Yes")*B3:F5)
Which is an array formula and must be entered with Ctrl-Shift-Enter
In K4:-
=SUM((B$2:F$2=3)*($H3:$H5="Yes")*(B3:F5<>""))
another array formula
In K5:-
=K3/K4
This is how the columns you want are labelled with a 3 in row 2, so it ignores the other columns:-
(2) Consolidate them into another sheet as you suggest.
I'm trying to output a Pass/Fail indicator for each student. A new student is on every row and their 10 answers are logged from Column E to N.
I want to match their answers with the 10 correct answers in Column S to AB, count them, and then have the word Pass show in the results Column O if they have a 70% pass rate, and fail if they are under that 70%.
All help appreciated.
I'd suggest a separate row for the answers but in matching columns:
then something like:
=IF(SUMPRODUCT(--(E$1:N$1=E3:N3))>6,"Pass","fail")
As #Jeeped points out, the correct answers could be left where they are with only a small adjustment to the formula above but (apart from the lurid colours!) I think the layout shown is neater and possibly more useful.