I am trying to count the total of Unique Dates based on the location.
Context: I trying to create a formula for counting the number of unique dates based on location. My Spreadsheet looks like this
A B C
1 **Participant Location Date**
2 Participant-A High School X 11/7
3 Participant-B High School X 11/7
4 Participant-C High School X 11/8
5 Participant-E High School Y 11/7
6 Participant-F High School Z 11/7
7 Participant-G High School Z 11/8
So for example: high School X had 2 different dates. What would the formula be to count the unique dates based on the location?
This is also being completed on google sheets.
Thank you!
Another way (with no helper columns) would be to use query() and unique().
=query(unique(B:C), "Select Col1, count(Col2) where Col1 <>'' group by Col1 label count(Col2)'# of unique dates'", 1)
Illustration:
With a simple helper column :
=1/COUNTIFS($A$2:$A$7,A7,$B$2:$B$7,B7)
And to get your results :
=SUMIF($A$2:$A$7,E2,$C$2:$C$7)
This is not one-formula solution but I think it works. First, create a third column concatenating the columns that you want to compare. In this case, at cell D2 write:
=CONCATENATE(B2,C2)
This is for the first row of your example. Then, replicate that to the following rows.
Finally, create a formula that counts unique values:
=SUM(IF(FREQUENCY(IF(LEN(D2:D7)>0,MATCH(D2:D7,D2:D7,0),""), IF(LEN(D2:D7)>0,MATCH(D2:D7,D2:D7,0),""))>0,1))
Assuming your new column of concatenated values is at D2:D7.
Related
I'm looking for a solution for a problem I'm facing in Excel. This is my table simplified:
Every sale has an unique ID, but more people can have contributed to a sale. the column "name" and "share of sales(%)" show how many people have contributed and what their percentage was.
Sale_ID
Name
Share of sales(%)
1
Person A
100
2
Person B
100
3
Person A
30
3
Person C
70
Now I want to add a column to my table that shows the name of the person that has the highest share of sales percentage per Sales_ID. Like this:
Sale_ID
Name
Share of sales(%)
Highest sales
1
Person A
100
Person A
2
Person B
100
Person B
3
Person A
30
Person C
3
Person C
70
Person C
So when multiple people have contributed the new column shows only the one with the highest value.
I hope someone can help me, thanks in advance!
You can try this on cell D2:
=LET(maxSales, MAXIFS(C2:C5,A2:A5,A2:A5),
INDEX(B2:B5, XMATCH(A2:A5&maxSales,A2:A5&C2:C5)))
or just removing the LET since maxSales is used only one time:
=INDEX(B2:B5, XMATCH(A2:A5&MAXIFS(C2:C5,A2:A5,A2:A5),A2:A5&C2:C5))
On cell E2 I provided another solution via MAP/XLOOKUP:
=LET(maxSales, MAXIFS(C2:C5,A2:A5,A2:A5),
MAP(A2:A5, maxSales, LAMBDA(a,b, XLOOKUP(a&b, A2:A5&C2:C5, B2:B5))))
similarly without LET:
=MAP(A2:A5, MAXIFS(C2:C5,A2:A5,A2:A5),
LAMBDA(a,b, XLOOKUP(a&b, A2:A5&C2:C5, B2:B5)))
and here is the output:
Explanation
The trick here is to identify the max share of sales per each group and this can be done via MAXIFS(max_range, criteria_range1, criteria1, [criteria_range2, criteria2], ...). The size and shape of the max_range and criteria_rangeN arguments must be the same.
MAXIFS(C2:C5,A2:A5,A2:A5)
it produces the following output:
maxSales
100
100
70
70
MAXIFS will provide an output of the same size as criteria1, so it returns for each row the corresponding maximum sales for each Sale_ID column value.
It is the array version equivalent to the following formula expanding it down:
MAXIFS($C$2:$C$5,$A$2:$A$5,A2)
INDEX/XMATCH Solution
Having the array with the maximum Shares of sales, we just need to identify the row position via XMATCH to return the corresponding B2:B5 cell via INDEX. We use concatenation (&) to consider more than one criteria to find as part of the XMATCH input arguments.
MAP/XLOOKUP Solution
We use MAP to find for each pair of values (a,b) per row, of the first two MAP input arguments where is the maximum value found for that group and returns the corresponding Name column value. In order to make a lookup based on an additional criteria we use concatenation (&) in XLOOKUP first two input arguments.
I need a count of how many date items fall within Data 1 & Data 2
ie:
x-1 will have a count of 2
x-2 will have a count of 1
-x-3 will have a count of 2
-y-1 will have a count of 2
What would be the best way to go abouts when approaching this?
Data 1
Data 2
Date
x
1
Date 1
x
1
Date 1
x
1
Date 2
x
2
Date 3
x
2
Date 3
y
1
Date 1
y
1
Date 1
I see only one way to interpret with the available information:
To count the number of times Date_to_test falls within Date_1 and Date_2 (screenshot below, sheet here), you could use either the sum or something like a countifs (with interim calc):
sum approach
=SUM(1*($C$2:$C$11<=$B$2:$B$11)*($A$2:$A$11<=$C$2:$C$11))
countifs + interim calc
helper
=1*(C2<=B2)*(A2<=C2)
(additional column, drag down)
countifs
=COUNTIFS($D$2:$D$11,1)
Screenshot
Alternative
as for the 'sum' approach, sumproduct variants (e.g. =SUMPRODUCT(1*($C$2:$C$11<=$B$2:$B$11),1*($B$2:$B$11>=$A$2:$A$11))) are calculation/memory intensive
despite the countifs + helper approach containing more 'visible' data - these values need only be calculated once, the countifs can then be determined independently (assuming no updates to the helper column) - thus making it more memory/calculation efficient depending upon your calculation mode, screen-updating preferences
Caveat
if, by some misfortune re: interpreting your question, you are referring to some other means of establishing whether "date items fall within Data 1 & Data 2", then without knowing what this is, there very low likelihood of being able to guess this correctly
I am creating a World Cup spreadsheet.
Example:
Team | Pts |
Brazil | XXX |
Switz. | XXX |
C. Rica| XXX |
Serbia | XXX |
I have another table which displays the Country, Score & whether it was a W (win), L (loss) or T (tie). A WIN will add 3 points, a TIE will add 1 point & a LOSS will add 0 points. Where I put the XXX, I want a formula that will search the table column for the Country Name and ADD up the W's, L's & T's and display the sum of every game there team played with the point system I mentioned.
Any help would be greatly appreciated! Thanks.
Try,
=SUM(COUNTIFS(D:D, A2, E:E, {"T","W","W","W"}))
You can use COUNTIFS. I set up a mock table to demonstrate:
The first COUNTIFS will count a given teams wins, and then multiple by a factor of 3.
The second COUNTIFS will count a given teams ties (no need to multiply here).
Since a Loss equates to 0 points, there is no need to sum or count anything.
Adjust ranges to fit your setup and then auto-fill the equation down your table to calculate for each team.
You can use a formula in H2, as below, and drag down as many rows as required
=(3*SUMPRODUCT(--($A$2:$A$13=$G2),--($C$2:$C$13="W"))+SUMPRODUCT(--($A$2:$A$13=$G2),--($C$2:$C$13="T")))
Data:
You only care about Wins or Ties. So count the wins per country and * 3 and add to that the count of ties, which you don't need to multiply as is 1.
Sumproduct is used to handle the arrays nicely.
I'd like to accomplish the following task. There are three columns of data. Column A represents price, where the sum needs to be kept under $100,000. Column B represents a value. Column C represents a name tied to columns A & B.
Out of >100 rows of data, I need to find the highest 8 values in column B while keeping the sum of the prices in column A under $100,000. And then return the 8 names from column C.
Can this be accomplished?
EDIT:
I attempted the Solver solution w/ no luck. 200 rows looks to be the max w/ Solver, and that is what I'm using now. Here are the steps I've taken:
Create a column called rank RANK(B2,$B$2:$B$200) (used column D -- what is the purpose of this?)
Create a column called flag just put in zeroes (used column E)
Create 3 total cells total_price (=SUM(A2:A200)), total_value (=SUM(B2:B200)) and total_flag (=(E2:E200))
Use solver to minimize total_value (shouldn't this be maximize??)
Add constraints -Total_price<=100000 -Total_flag=8 -Flag cells are binary
Using Simplex LP, it simply changes the flags for the first 8 values. However, the total price for the first 8 values is >$100,000 ($140k). I've tried changing some options in the Solver Parameters as well as using different solving methods to no avail. I'd like to post an image of the parameter settings, but don't have enough "reputation".
EDIT #2:
The first 5 rows looks like this, price goes down to ~$6k at the bottom of the table.
Price Value Name Rank Flag
$22,538 42.81905675 Blow, Joe 1 0
$22,427 37.36240932 Doe, Jane 2 0
$17,158 34.12127693 Hall, Cliff 3 0
$16,625 33.97654031 Povich, John 4 0
$15,631 33.58212402 Cow, Holy 5 0
I'll give you the solver solution as a starting point. It involves the creation of some extra columns and total cells. Note solver is limited in the amount of cells it can handle but will work with 100 anyway.
Create a column called rank RANK(B2,$B$2:$B$100)
Create a column called flag just put in zeroes
Create 3 total cells total_price, total_value and total_flag
Use solver to minimize total_value
Add constraints
-Total_price<=100000
-Total_flag=8
-Flag cells are binary
This will flag the rows you want and you can grab the names however you want.
I have an excel database that consist of ID, Name and Sample Date. I made a pivot table to count the number of names and samples each name has but I want a count of the number of serial samples each name has, not including repeated samples.
Here is an example database:
ID Name Sample Date
M1.1 A 8/2/2013
M2.1a B 8/6/2013
M2.1b B 8/6/2013
M2.1c A 8/6/2013
M1.2 A 8/7/2013
M3.1 C 8/9/2013
M4.1 D 8/10/2013
M1.3 A 8/11/2013
M2.2 B 8/13/2013
I want the pivot table to be able to count that A has 4 serial samples, B has 2 serial samples instead of 3, C has 1, and D has 1.
Any suggestions on how to do this?
Not elegant but for want of any other answer so far:
Add a helper column containing =COUNTIFS(B:B,B2,C:C,C2) and copy down to suit. Order on that helper column and restrict the PivotTable range to include only half of those entries that show up as duplicates.