I have a set of rows let's say "rowId","type","value". I need on output set of 10 sample rows for each "type". How can I do it? "type" has aprox. 100 different, and changing values, so switch is not good option.
Well I've figured a walkaround from this situation. I splited transformation in parts. First part collects all data to a temp table, finds unique types, and copies them to the result.
The second one runs for every input row (where we have types), and collects data of a given type from temp table. Then you need no grouping to do stratified sample.
Related
I'm making a time-spending tracker based on the work I do every hour of the day.
Now, suppose I have 28 types of work listed in my tracker (which I also have to increase from time to time), and I have about 8 significance values that I have decided to relate to these 28 types of work, predefined.
I want that, as soon as I enter a type of work in cell 1 - I want the adjacent cell 2 to get automatically populated with a significance value (from a range of 8 values) that is pre-definitely set by me.
Every time I input a new or old occurrence of a type of work, the adjacent cell should automatically get matched with its relevant significance value & automatically get populated in real-time.
I know how to do it using IF, IFS, and IF_OR conditions, but I feel that based on the ever-expanding types of work & significance values, the above formulas will be very big, complicated, and repetitive in the future. I feel there's a more efficient way to achieve it. Also, I don't want it to be selected from a drop-down list.
Guys, please help me out with the most efficient way to handle this. TUIA :)
Also, I've added a snapshot and a sample sheet describing the problem.
Sample sheet
XLOOKUP() may work. Try-
=XLOOKUP(D2,A2:A,B2:B)
Or FILTER() function like-
=FILTER(B2:B,A2:A=D2)
You can use this formula for a whole column:
=INDEX(IFERROR(VLOOKUP(C14:C,A2:B9,2,0)))
Adapt the ranges to your actual tables in order to include in the second argument all the potential values and their significances
This is the formula, that worked for me (for anybody's reference):
I created another reference sheet, stating the types of work & their significance. From that sheet, I'm using either vlookup, filter, xlookup.Using gforms for inputting my data.
=ARRAYFORMULA(IFS(ROW(D:D)=1,"Significance",A:A="","",TRUE,VLOOKUP(D:D,Reference!$A:$B,2,0)))
I am learning how to use formulas in spreadsheets, I do use libre office.
I need to sort out data in a quite huge messy spreadsheet.
Each column contains mixed data, the sheet is huge, dozens of columns and thousands of rows, if the spreadsheet does not contain errors each cell in a row either contains a different keyword or is empty, there should not be two cells in the same row containing the same keyword.
The problem to solve is to sort out all the data so to reach to have a new spreadsheet in which each cell marked with a given specific keyword is kept in the same position but placed in one column dedicated to that same keyword.
the kind of spreadsheet with mixed up cells to be sorted out
the data in the spreadsheet has to be fixed so to appear in this way
A formula that can be used to extract sorted out data from a cell is the following:
=IF(SEARCH("Text1";B2;1);B2;0)
The formula can be dragged to each cell below to hit the proper cell next to it. The result is correct.
The results are correct, but I do not know why the expected 0 is not printed, there is #VALUE! instead
The logic is very simple, if the cell contains the keyword or any other text that contains that keyword the result is the full content of that cell, otherwise the result is 0.
Here comes the first question, why do I get #VALUE! as a result for those cells that do not contain the keyword? I expected to get 0 instead, just as indicated in the formula,
I tried to leave this filed empty and also to put the 0 result in quotes, the actual result is always the same, #VALUE!...
However, of course this formula extracts only the information contained in one column, so for each other column the process must be repeated.
In order to avoid to create a column with the formula for each column in the spreadsheet or anyway to process each column one by one and more importantly to have then to merge all the results to form one columns containing only cells with a given keyword I thought to use the same formula extending the parsing to each next cell in the row as follows:
=IF(SEARCH("text";B2;1);B2;IF(SEARCH("text";C2;1);C2;IF(SEARCH("text";D2;1);D2;0)))
The logic is very simple and should output in one go a column containing all the cells containing the keyword that are found in the row, check if the first cell in the row contains a word using the search function, if does then the result is the content of that cell, otherwise perform the next test, the next test is the same, check if the next cell contains a certain word using the search function, if does then the result is the content of that cell, otherwise proceed to the next test…. and so on until last test, if no test gave a true result then print 0 (but we get #VALUE!, OK I could live with that...).
In theory should work for a any number of cells, but in the practice does not at all, in fact does work only for the first IF test and cell indicated in the formula.
WHY?
The result using the extended version of the formula to parse N cells in sequence is the same obtained with the simple formula to parse only one cell
Finally, how do I resolve this problem using IF and Search?
Is there any other better approach and way to solve this kind of problems and sort out data in huge spreadsheets of this kind?
Thank you for any hint and help.
I have a data table that has this format :
and I want to plot temperature to time, any idea how to do that ?
This can be done in a TERR data function. I don't know how comfortable you are integrating Spotfire with TERR, there is an intro video here for instance (demo starts from about minute 7):
https://www.youtube.com/watch?v=ZtVltmmKWQs
With that in mind, I wrote the script without loading any library, so it is quite verbose and explicit, but hopefully simpler to follow step by step. I am sure there is a more elegant way, and there are better ways of making it flexible with column names, but this is a start.
Your input will be a data table (dt, the original data) and the output a new data table (dt.out, the transformed data). All column names (and some values) are addressed explicitly in the script (so if you change them it won't work).
#remove the []
dt$Values=gsub('\\[|\\]','',dt$Values)
#separate into two different data frames, one for time and one for temperature
dt.time=dt[dt$Description=='time',]
dt.temperature=dt[dt$Description=='temperature',]
#split the columns we want to separate into a list of vectors
dt2.time=strsplit(as.character(dt.time$Values),',')
dt2.temperature=strsplit(as.character(dt.temperature$Values),',')
#rearrange times
names(dt2.time)=dt.time$object
dt2.time=stack(dt2.time) #stack vectors
dt2.time$id=c(1:nrow(dt2.time)) #assign running id for merging later
colnames(dt2.time)[colnames(dt2.time)=='values']='time'
#rearrange temperatures
names(dt2.temperature)=dt.temperature$object
dt2.temperature=stack(dt2.temperature) #stack vectors
dt2.temperature$id=c(1:nrow(dt2.temperature)) #assign running id for merging later
colnames(dt2.temperature)[colnames(dt2.temperature)=='values']='temperature'
#merge time and temperature
dt.out=merge(dt2.time,dt2.temperature,by=c('id','ind'))
colnames(dt.out)[colnames(dt.out)=='ind']='object'
dt.out$time=as.numeric(dt.out$time)
dt.out$temperature=as.numeric(dt.out$temperature)
Gaia
because all of the example rows you've shown here contain exactly four list items and you haven't specified otherwise, I'll assume that all of the data fits this format.
with this assumption, it becomes pretty trivial, albeit a little messy, to split the values out into columns using the RXReplace() expression function.
you can create four calculated columns, each with an expression like:
Int(RXReplace([values],"\\[([\\d\\-]+),([\\d\\-]+),([\\d\\-]+),([\\d\\-]+)]","\\1",""))
the third argument "\\1" determines which number in the list to extract. backslashes are doubled ("escaped") per the requirements of the RXReplace() function.
note that this example assumes the numbers are all whole numbers. if you have decimals, you'd need to adjust each "phrase" of the regular expression to ([\\d\\-\\.]+), and you'd need to wrap the expression in Real() rather than Int() (if you leave this part out, the result will be a String type which could cause confusion later on when working with the data).
once you have the four columns, you'll be able to unpivot to get the data easily.
I need to keep data of the following form:
(a,b,1),
(c,d,2),
(e,f,3),
(g,h,4),
(i,j,5),
(k,l,6),
(m,a,7)
...
such that the integers within the data (3rd column) are consecutively ordered and are unique. Also there are 2,954,208,208 such rows. I am searching for a data structure which returns the value of the 3rd column given the value of first two columns e.g.
Given: (i,j) it returns 5
And given the value of 3rd column, first two columns can be retrieved. For example,
Given: 5 it returns (a,b)
Is there some data structure which may help me achieve the same.
My approach towards solving this problem was to use hash-maps..but hash-maps do not turn out to be efficient. Is there some other way out.
The values in the first, second and third column are all of 64-bit.
I have 4GB of RAM.
How do I create a Google Line Chart that displays two or more lines, with a different number of data points in each series?
For instance, I want to create a chart with 2 lines, one showing the expected values over time and another showing the actual values over time. The date range and expected values are known in advance so I can fully graph them, but the actual values may not be fully known yet (e.g. the date range covers some dates in the future).
I found the answer in this SO question. The solution is to use "_" (or "__", depending on the encoding of the data values) to indicate "no value".
For instance, one data series might be 10,7,3,1 and the other might be 10,6,_,_.