I have a table with location in one column and a code in other. I want to choose a location and code and when both are on the same row, pull out this data.
How would i go about this?
The location and code correspond to a value which will then be plotted on a bar graph as i want to compare all the different combinations of location and code.
I have about 1000 values so some are repeated together many times.
If there is many repeated this might help you with that.
When that's solved I think INDEX and MATCHwould be sufficient
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Excel Novice using Excel for Business (Online) here.
I am having a difficult time wrapping my head around a way to write a function that does three things for me.
Check a specific row of data in a large table, preferably matching ID's between the two tables (I've been using XLOOKUP to ensure that results are keyed to a specific ID)
Find and return the Column index for every cell within the row with the string "Yes"
SUM associated points tied to the column indexes.
I am creating a new QA Scoring system, and all of the questions share the potential for "Yes" and "No" but depending on the question the number of points will be different. I have been approaching this with the idea that I could return the column indexes, convert them to the points associated to the column indexes, and then SUM them for a score, but I am open to different ideas.
Click Here for a Demo of what I am trying to do, included is the actual data set I was using.
Possible Points
=SUMIFS($O$2:$AH$2,INDEX(Raw_Data!D:W,MATCH(Scoring!A4,Raw_Data!A:A,0),0),"*")
Points Earned
=SUMIFS($O$2:$AH$2,INDEX(Raw_Data!D:W,MATCH(Scoring!A4,Raw_Data!A:A,0),0),"Yes")
These will work with your present setup, but in the long run it would probably be best to just add Possible Points and Points Earned columns to your Table3, if possible.
I am trying to create a calculated column that flags/counts the changes in values across rows in another column, in Spotfire. Below is an example of the data types I'm looking at and the desired results.
My hope is that for each Location, and ordered along Time, I can identify when the values of "colors" changes and have running count so that each cluster of similar values between changes is given the same label (Cluster Desire 1) for each Location. It would be best if the running count of clusters can restart at each location but this is not crucial. Any help would be more than appreciated!
I thought of a way to do it, relying on one intermediate column (I used two just to make it a bit clearer).
First: the concatenation of values for each row within its Location: called [concatString]
Concatenate(Concatenate([Color]) over (Intersect([Location],AllPrevious([Time]))),', ')
Spotfire defaults to comma followed by space as a separator: I could not find a way of changing that in this kind of expression.
Then within each [concatString] I remove repeated values. The complication is that the last one did not have the comma+space, and I did not manage to make the regular expression I am using understand that. So my workaround was to add a final comma+space to [concatString]. Hence the extra Concatenate(..).
The formula for the column without repetitions, [consolidatString] is:
RXReplace([concatString],"(\\w+\,\\s)\\1+","$1","g")
Then what we have achieved is an individual value for each line we want to group. We can then simply rank [consolidatString] to achieve the desired column:
DenseRank([consolidatString],[Location])
Problem is straightforward, but solution is escaping. Hopefully some master here can provide insight.
I have a big data grid with prices. Those prices are ordered by location (rows) and business name (cols). I need to match the location/row by looking at two criteria (location name and a second column). Once the matching row is found (there will always be a match), I need to get the minimum/lowest price from two ranges within the grid.
The last point is the real challenge. Unlike a normal INDEX or MINIFS scenario, the columns I need to MIN aren't contiguous... for example, I need to know what the MIN value is between I4:J1331 and Q4:U1331. It's not an intersection, it's a contiguous set of values across two different arrays.
You're probably saying "hey, why don't you just reorder your table to make them contiguous"... not an option. I have a lot of data, and this spreadsheet is used for a bunch of other stuff. So, I have to work with the format I have, and that means figuring out how to do a lookup/min across multiple non-contiguous ranges. My latest attempt:
=MINIFS(AND($I$4:$J$1331,$K$4:$P$1331),$B$4:$B$1331,$A2,$E$4:$E$1331,$B2)
Didn't work, but it should make it more clear what I'm trying to do. There has GOT to be an easy way to just tell excel "use these two ranges instead of one".
Thanks,
Rick
Figured it out. For anyone else who's interested, there doesn't seem to be any easy way to just "AND" arrays together for a search (Hello MS, backlog please). So, what I did instead was to just create multiple INDEX/MATCH arrays inside of a MIN function and take the result. Like this:
MIN((INDEX/MATCH ARRAY 1),(INDEX/MATCH ARRAY 2))
They both have identical criteria, the only difference is the set of arrays being indexed in each function. That basically gives me this:
MIN((match array),(match array))
And Min can then pull the lowest value from either.
Not as elegant as I'd like... lots of redundant code, but at least it works.
-rt
I'm not able to take the means for a large dataset given that the amount of attributes is irregular.
I have posted a simplified case for the problem. It explains the problem very well.
An idea that I came up with: Make a filter to condition on a single attribute. However, still, I don't see a way to do this in an efficient way (other then doing it all by hand).
see excel file:
All help is much appreciated.
I'm basically looking for a function/method to achieve taking means of all different attributes conditioned on each person for a large dataset without doing it by hand.
You can use AVERAGEIFS() inside an IF:
=IF(OR(A2<>A1,B2<>B1),AVERAGEIFS(C:C,A:A,A2,B:B,B2),"")
the ifrst part of the if tests whether the row starts a new group either by the person or the attribute changing. Then it uses AVERAGEIFS() to return the correct average of that group. otherwise it returns a blank
What you want to do can be accomplished very simply with a pivot table.
Simply select one of the cells inside the range of data you want to process(See the video for general use of a pivot table https://www.youtube.com/watch?v=iCiayB6GrpQ )
go the insert tab and insert pivot table.
Once you have it, simply check people, attribute, and values. Then drag people and attribute into rows, drag valut into the values window, select the drop down list and change it from sum of value to average and you should be done. https://i.stack.imgur.com/nYEzw.png
I have been working on a small project. I am trying to display all the results in the same row without NULL values. I've written a small expression to remove the Null values already "=IIF(IsNothing(Fields!RegisterNo.Value),True,False)". However, the rows seem to be moving one level down as it is displayed in the picture ResultMatrix1. I want the results to be on the same level. Can you please tell me if this is possible and how I can achieve it. Is it something to do with the groupings or something else?
Design Groupings
By default, when you create a table, there is a Row Group called "Details" that is not actually grouped by anything. This causes it to produce one row for each row from the dataset. Since you are trying to group these, you need to make sure that innermost group is grouped by your Staff Ref No.
In the lower-right cell, you may need to change the expression to use a Max function. This will simply avoid arbitrarily showing blanks when they happen to be sorted before a real value within that group.