I have a table that shows me a chemical concentration value based on temperature, pH and
ammonia. The way the I measure these variables, the ammonia level are always one of these six values (on top of the table), so it works as a categorical variable.
I need a way to interpolate on this table, based on these 3 variables. I tried using a combination of INDEX and MATCH, but I was not able to achieve what I wanted. Then I thought of "dividing" the table in intervals to "reduce" one variable and use an IF function to select which interval to interpolate based on the third variable (I was thinking pH or Ammonia), but I can't figure out a way to change intervals dynamically like this.
Can anyone think of an alternative to accomplish what I'm trying to do? If possible I would like to avoid using VBA, but if there is no other way I have no problem using it.
Thank you for the help!
I'm attaching an example of the table below.
Assuming that PH is in Column A:
=INDEX(A:H;MATCH(6,8;A:A;0)+MATCH(25;B:B;0)-2;MATCH(2;2:2,0))
Where the -2 needs to be changed to the number of rows BEFORE the first 22 in Temp.
This also assumes that the pattern of 22;25;28 in Temp is the same for every pH
Related
So, I have a dataframe with 3D point cloud data (X,Y,Z,Color):
dataframe sample
Basically, I need to group the data according to the color column (which takes values of 0,0.5 and 1). However, I don't need an overall grouping (this is easy). I need it to create new dataframes every time the value changes. That is, I'd like a new dataframe for every set of rows that are followed by and preceded by 5 zeros (because single zeros are sometimes erroneously present in chunks of data that I'm interested in).
Basically, the zero values (black) are meaningless for me; I'm only interested in the 0.5 (red) and 1 values (green). What I want to accomplish is to segment the original point cloud into smaller clusters that I can then visualize. I hope this is clear. I can't seem to find answers to my question anywhere.
First of all, you should understand the for loop well. Python is a great programming language for using the code of any library inside functions and loops. Let's say you have a dataset and you want to navigate and control column a. First, let's start the loop with the "for i in dataset:" code. When you move to the bottom line, you have now specified the criteria you want with the code if "i[a] > 0.5:" in each for loop. Now if the value is greater than 0.5, you can write the necessary codes to create a new dataset with all the data of the row you are in. In terms of personal training, I did not write ready-made code.
Alright this should be a simple one.
I apologize in case it has been already solved, but I can only find posts related to solving this issue with programming languages and not specifically to EXCEL.
Furthermore, I could find posts that address a sub-problem of my question (e.g. regarding limitation of certain EXCEL functions) and should solve/invalidate my request but maybe, just maybe, there is a workaround.
Problem statement:
I want to calculate the minimum value for each column in an EXCEL matrix. Simply enough, I want to input a 2D array (mxn matrix) in a function and output an array with dimension 1xm where each item is the minimum value MIN(nj) of each nj column.
However, I want to solve this with specific constraints:
Avoid using VBA and other non-function scripting: that I could devise myself;
All in one function: what I want to achieve here is to have one and one function only, not split the problem into multiple passages (such as for example copypasting a MIN() function below each column, that wouldn't do it);
The result should be a transposable array (which is already ok, I assume);
Where I am stranded with my solution so far:
The main issue here is that any function I am trying to use takes the entire matrix as a single array input and would calculate the MIN() of the entire matrix, not each column. My current (not working) function for an exemplary 4x4 matrix in range A1:D4 would be as below (the part in bold is where it is clearly not working):
=MIN(INDEX(A1:D4,SEQUENCE(4,4,1,1)))
which ofc does not work, because INDEX() does probably not "understand" SEQUENCE() as an array of items to take into account. Another, not working, way of solving this is to input a series of ranges (A1:A4;B1:B4;C1:C4;D1:D4) so that INDEX() "understands" the ranges as single columns, but ofc does not know and I do not know sincerely how to formulate that. I could use INDIRECT() in some way to reference the array of ranges, but do not know how and could find a way by searching online.
Fundamental question is: can a function, which works with single arrays, also work with multiple arrays? Basically, I do not know how to communicate an EXCEL array formula, that each batch of data I am inputting is a single array and must be evaluated separately (this is very easily solved with for() cycles, I know).
Many thanks for any suggestion and any workaround, any function and solution works as longs as it fits in the constrains defined above (maybe a LAMBA() function? don't know).
This is ofc a simplification of a way more complex problem (I am trying to calculate the annual mean temperature evolution for a specific location by finding the value - for each year from 1950 to 2021 - that is associated to the lat/lon coordinates that are the nearest to the one of the location inputted, given a netCDF-imported grid of time-arrayed data; the MIN() function is used to selected the nearest location, which is then used, via INDEX() to find temp data). I need to do this in one hit (meaning just pasting the function, which evaluates a matrix of data that is referenced by a fixed range), so that I can just use it modularly for other data sets. I already have a working solution, which is "elegant"* enough, but not "elegant"* as the one I could develop solving this issue.
*where "elegant"= it saves me one click every time for 1000+ datasets when applying the function.
If I understand your problem correct then this should solve it:
=BYCOL(A1:D4,LAMBDA(d,MIN(d)))
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 would like to solve this either in Excel or in SPSS:
I have categorical data (each number representing a medical diagnosis) that are combined into single cells. In other words, a row (patient) has multiple diagnoses. However, I would like to know the frequencies of each diagnosis. What is the best way to go about this? (See picture for reference)
For SPSS:
First just creating some sample data to demonstrate on:
data list free/e_cerv_dis_state (a20).
begin data
"{1/2/3/6}" "{1/2/4}" "{2/4/5}" "{1/5/6}" "{4}" "{4/5/6}" "{1/2/3/4/5/6}"
end data.
Now the following code will create a separate variable for each possible diagnosis, and will put a 1 in it if the diagnosis exists in the original variable.
do repeat vr=diag1 to diag9/vl=1 to 9.
compute vr=char.index(e_cerv_dis_state, string(vl, f1) ) > 0.
end repeat.
freq diag1 to diag6.
Note this will only work for up to 9 diagnoses. If you have more than that the solution will have to be adapted to multiple digits.
Assuming that the number of columns is fairly regular, I would suggest using text to columns, and then using COUNTIF on the cells if they are the value wanted. However there is a more robust and reproducible solution that would involve using SQL. If you download the free version of SQL Express here: https://www.microsoft.com/en-gb/sql-server/sql-server-downloads
Then you can import your table of data, here's how to do that: How to import an Excel file into SQL Server?
Then you could use the more friendly SQL database to get the answers you want. For example you can use a select statement that would say:
SELECT count(e_cerv_dis_state)
WHERE e_cerv_dis_state = '6'
It would also be possible to use a CASE WHEN statement to add-in the names of the diagnoses.