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.
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$5,A2)
INDEX/XMATCH Solution
Having the array with the maximum Shares of sales, we just need to identify the row position via XMATCH to return the corresponding B2:B5 cell via INDEX. We use concatenation (&) to consider more than one criteria to find as part of the XMATCH input arguments.
MAP/XLOOKUP Solution
We use MAP to find for each pair of values (a,b) per row, of the first two MAP input arguments where is the maximum value found for that group and returns the corresponding Name column value. In order to make a lookup based on an additional criteria we use concatenation (&) in XLOOKUP first two input arguments.
I am trying to count the total of Unique Dates based on the location.
Context: I trying to create a formula for counting the number of unique dates based on location. My Spreadsheet looks like this
A B C
1 **Participant Location Date**
2 Participant-A High School X 11/7
3 Participant-B High School X 11/7
4 Participant-C High School X 11/8
5 Participant-E High School Y 11/7
6 Participant-F High School Z 11/7
7 Participant-G High School Z 11/8
So for example: high School X had 2 different dates. What would the formula be to count the unique dates based on the location?
This is also being completed on google sheets.
Thank you!
Another way (with no helper columns) would be to use query() and unique().
=query(unique(B:C), "Select Col1, count(Col2) where Col1 <>'' group by Col1 label count(Col2)'# of unique dates'", 1)
Illustration:
With a simple helper column :
=1/COUNTIFS($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.
I am working to create a Pivot Table in Excel that has multiple calculated fields that take into account whether a condition is true, but cannot figure out how to create this within a single Pivot Table.
Behind the scenes, I have a set of data with a column that can have these values: A,B,C,D,F,L, or R.
I have another column that is a dollar value, and another for Quantity.
I am trying to calculate the price per unit when the Category is A,B, or C, but also calculate the price per unit when the Category is D.
I can create multiple Pivot Tables and tie them to the same slicer, but the issue is this: I need to display the spending in each of the two categories for each location, and when I create two separate Pivot Tables for this, locations that do not have spending in one of the categories are excluded (in this below case, location 2 has no spending in Category D, so it does not show up in the second Pivot Table).
Here is a portion of my data set. The whole data set is over 100,000 rows and will change over time, so I do need a solution for the long-term.
Location Category Volume Quantity
1 A $120.32 6000
3 A $30.08 1300
3 A $60.16 2600
1 B $39.91 1000
2 B $318.50 13000
2 C $196.00 8000
1 D $220.50 8100
3 D $171.50 6300
3 D $35.90 1000
3 D $53.85 1500
2 F $416.50 0
1 L $24.50 0
2 L $30.08 0
1 R $55.13 0
2 R $55.13 0
3 R $110.26 0
Thanks in advance for your help and let me know if I need to clarify anything!
Alright, a little more digging yielded the answer.
A slicer should be included that has all locations selected, then it should be tied to all Pivot Tables in use.
For all Pivot Tables, go to Field Settings, then click on the Layout and Print Tab. Check the box 'Show items with no data'.
Then go to Pivot Table Options and select the values you would like to display for blanks and errors.
I found the solution here.
I have a requirement to form a permutation data from the given set of values in excel sheet. Below are the details.
Let us say there are 5 columns and each column has some rows of data as below in input excel sheet.
Column 1 - 2 values(ind,us)
column 2 -1 value (a1)
Column 3= 3 value(cat,dog,cow)
column 4= 4 value(1,2,3,4)
Column 5= 1 value(d)
The output excel has to be on below format.
ind,a1,cat,1,d
ind,a1,cat,2,d
ind,a1,cat,3,d
ind,a1,cat,4,d
ind,a1,dog,1,d
ind,a1,dog,2,d
ind,a1,dog,3,d
ind,a1,dog,4,d
ind,a1,cow,1,d
ind,a1,cow,2,d
ind,a1,cow,3,d
ind,a1,cow,4,d
us,a1,cat,1,d
us,a1,cat,2,d
us,a1,cat,3,d
us,a1,cat,4,d
us,a1,dog,1,d
us,a1,dog,2,d
us,a1,dog,3,d
us,a1,dog,4,d
us,a1,cow,1,d
us,a1,cow,2,d
us,a1,cow,3,d
us,a1,cow,4,d
please note the rows and column count are not constant.
Request all to give some thoughts to implement.
Thanks,
Rakesh
See this question for ways to get (all) combinations of elements with specified values for each slot. Just feed your data as an array of arrays to the Permute function or the .init method.
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.