I admit this is a strange request. Essentially myself and another person who speaks Mandarin need to work on scheduling asynchronously through a spreadsheet. If either of us enters something in, in our respective sections, it should update the other person's section to match. So If I changed Order 1 on Day 1 from Apple to Butter, it should look at the translated text for Butter in Chinese and update the dropdown list entry for Order 1 on Day 1 from Apple to Butter
Unfortunately it doesn't seem like there's anyway to add formulas to dropdown lists. Any advice here?
I created a super simplified spreadsheet of what I'm looking for Spreadsheet
there is a GOOGLETRANSLATE formula:
also, you have DETECTLANGUAGE that outputs the language code:
both of them (DETECTLANGUAGE is able to work with vertical arrays only) are not supported under ARRAYFORMULA so you will need to drag them around. also, it's worth mentioning that formulae are always 1-directional so you can have a dropdown to be translated but that translated output can't be used directly as the input for back-translation creating a paradox. with a scripted solution, you may have more flexibility tho.
I am doing a test for a data analytics bootcamp. i have to use google sheets and i am an absolute beginner.
We have a dataset called products that we have to extract on a google spreadsheet first. I will upload the link to my google spreadsheet here:
https://docs.google.com/spreadsheets/d/1m67VmLZispyTwFTmPdppsdJNtbvnZsZK2LBCSchUWmU/edit?usp=sharing
the question is to use a formula to say what the average unit price of all products listed is.
My formula was to write under colum F(unit price) the formula: =AVERAGE(F2:F78). but the number i get is 44702 which cant be correct, if you look at the table.
also i dont know if i have to consider Column E, where the quantityperunit is stated to answer the question.
Could someone please help me?
I feel like I answered this for you in another post recently. But I can add more details.
You are working with a spreadsheet that seems to have been created in the United States, yet you've set the locale to Germany. This is creating a conflict, because the decimal separator in Germany is a comma while the decimal separator in the US is a period.
In addition, your Col-F values are all strings, not numbers — except for the one entry in F66. So you have mixed data types, and math functions can't act on that mix.
This leaves the only valid number being 21.05. However, as I said, in Germany, this is not a valid number. It's a date: May 21. And the data of May 21 (2022) is 44702 days since the Google Sheets origin date of December 30, 1899 (which is how Sheets stores all dates). So that is why you are getting that result.
If you change your locale to "United States," this will solve some of your issues. But no matter what your locale, it won't change those strings in Col F to real numbers. So you'll need to convert them in place, or your formula is going to need to account for them.
Seeing as this is an assignment, it's unclear whether the instructor intended for you to have to address these problems, or whether the additional problems are an unintentional result of spreadsheet conversions that happened somewhere.
In addition to all of that, you interpreted the original question in your post rather than sharing the actual exact wording of the question; and wording matters.
First, I would ask the instructor if the numbers in Col F were all supposed to be real numbers, or if most of them being strings is part of the assignment.
In any case, given exactly what you have right now, this should produce the average unit price (regardless of quantity in stock, as we don't know the actual wording of that question):
=ArrayFormula(ROUND(AVERAGE(VALUE(SUBSTITUTE(F2:F78&"",".",","))),2))
It's a lot longer than it would have needed to be if not for the multiple factors I described above. That is, given the locale setting of Germany and the fact that you have mixed data types, all of the Col-F values had to be converted to strings, then all of the periods had to be SUBSTITUTEd with commas, then they all had to be converted to numbers with VALUE before AVERAGE could be applied.
I've been asked to create a summary for some google form responses, and though I have a working solution, I can't help but feel there must be a more elegant one.
The form collects data related to case checking - every month each team (there's 100+ teams) has to check a certain number of cases based on how many staff are in their team, and enter the results for each case they've checked in the google form. The team that have set this up want me to summarise the data by team, month, and section of the form (preliminary questions, case recording, outcomes, etc). There are 8 sections on the live form, ranging from 1-13 questions, all with Yes/No/NA/blank answers.
(honestly, it's not how I'd have approached setting all this up, but that is out of my hands!)
So they're essentially looking for a live monthly summary with team names down the side, section names along the top, and a %age completed that will keep up with entries as they come in (where we can also use importrange and query to pull the relevant bits into other google sheet summaries, as and when needed).
What I've currently got is this:
=iferror(sum(countifs('Form Responses'!$B:$B,$A3,'Form
Responses'!$F:$F,"Yes",'Form Responses'!$E:$E,">="&$B$1,'Form
Responses'!$E:$E,"<"&edate($B$1,1)),countifs('Form
Responses'!$B:$B,$A3,'Form Responses'!$G:$G,"Yes",'Form
Responses'!$E:$E,">="&$B$1,'Form
Responses'!$E:$E,"<"&edate($B$1,1)),countifs('Form
Responses'!$B:$B,$A3,'Form Responses'!$H:$H,"Yes",'Form
Responses'!$E:$E,">="&$B$1,'Form
Responses'!$E:$E,"<"&edate($B$1,1)),countifs('Form
Responses'!$B:$B,$A3,'Form Responses'!$I:$I,"Yes",'Form
Responses'!$E:$E,">="&$B$1,'Form
Responses'!$E:$E,"<"&edate($B$1,1)),countifs('Form
Responses'!$B:$B,$A3,'Form Responses'!$J:$J,"Yes",'Form
Responses'!$E:$E,">="&$B$1,'Form
Responses'!$E:$E,"<"&edate($B$1,1)),countifs('Form
Responses'!$B:$B,$A3,'Form Responses'!$K:$K,"Yes",'Form
Responses'!$E:$E,">="&$B$1,'Form
Responses'!$E:$E,"<"&edate($B$1,1)))/(countifs('Form
Responses'!$B:$B,$A3,'Form Responses'!$E:$E,">="&$B$1,'Form
Responses'!$E:$E,"<"&edate($B$1,1))*6),0)
It works, but it feels like a bit of a brute-force-and-ignorance solution. I've tried countifs & array, I've looked a pivot but I can't get the section groups, I've had a play with query but I can't figure out how to ask it to count all Yeses in multiple columns at once.
Is there a more elegant solution, or do I have to resign myself to setting up the next financial year's summaries like this?
Edit:
You can use plain array boolean multiplication to achieve the count, as trues are converted to 1s and false are converted to 0s:
=TO_PERCENT(ARRAYFORMULA(
SUM((f!F1:K="Yes")*(f!E1:E>=B1)*(f!E1:E<EDATE(B1,1))*(f!B:B=A3))/
SUM(6*(f!E1:E>=B1)*(f!E1:E<EDATE(B1,1))*(f!B:B=A3))
)
)
Renamed Form Responses to f
Numerator: SUM of
Question filter (f!F:K =Yes) and
Month filter (f!E:E is within month of B1) and
Team filter(B:B = A3)
Denominator: 6 times the SUM of
Month filter (f!E:E is within month of B1) and
Team filter(B:B = A3)
On this sample sheet that you provided you'll notice two new tabs. MK.Retab and MK.Summary.
On MK.Retab is a single formula in A2 that "re-tabulates" all of your survey data into a format that is much easier to analyze going forward. That tab can be "hidden" on your real project. It will continue to build the 6 column dataset forever. It would be a sort of "back end" sheet, only used to supply data to any further downstream analysis.
On MK.Summary is a single formula in cell A1 that Query's that dataset from MK.Retab and shows the percentage of Yes's by month by section by team in a format similar to what you proposed. I coded it to display the most recent month at the left, immediately to the right of the team names, and to push historical data off to the right. Even though people are often used to seeing time go from left to right, I find that the opposite method nice because it keeps you from having to scroll sideways to see the most recent data. It is very simple to change should you want to by getting rid of the "desc" that you find in the "order by" clause of the query string.
I find this kind of two step solution to problems like your useful, because while the summary migth not be exactly what you want, it's always easier to build formulas and analyses off of the data as laid out in the MK.Retab sheet.
As for the formula in MK.Retab, it is based on a method that I came up with a while back that constructs a large vlookup where the [search key] is actually a sequence of decimal numbers that is built by counting the number of rows in your real data set and multiplying by the number of columns of data that need to be repeated for each row. I built a demo some time ago that I'm happy to share with folks if you want to understand better how it works.
You said that your goal was to understand the formulas so that you could modify them going forward as needed. I'm not sure how easy that will be to do, but I can try my best to answer any questions you might have about the method or the solution generally.
What I can tell you is that some of the formulas are more complicated than they need to be because you just used Q1 Q2 Q3 etc instead of the actual questions. if you had a list of the questions asked somewhere (on some other tab, say), and what you wanted to call/name their corresponding "sections", it would make the formula significantly less complicated. As it stands, I had to use the appearance of the word "Comments", in row 1 to distinguish between where one section ended and another section began. The upside to that decision though, is that the formula I wrote is infinitely expandable to the right. That is, if you were to add another 100 columns worth of questions and answers to the sample set here, the formula would be able to handle that and break it out, so long as there was the word "Comments" between each section.
Hope all this helps.
I have a Google Sheets budget and I am trying to write something to keep track of how much money I have spent in a specific week.
Link to my example budget below.
https://docs.google.com/spreadsheets/d/15HP24iDd-kZ-MydKwgbMCoG0rCHN_DNOcBZsm0HhKQ0/edit?usp=sharing
I am already using sumif() to say, if the entry's CATEGORY says "Gas" then add theAMOUNT to the Gas row in the table. I want to add another parameter that will sum the amounts if the entry's CATEGORY says Gas AND is within the specified week above the table...(WEEK 31).
I hope this makes sense if you need more clarification I will try my best to do so.
As Diego suggested, SUMIFS()should work. Example
=sumifs($C$4:$C$9, $D$4:$D$9, "=week "&$I$3, $B$4:$B$9,$F4)
An alternative would be to use sumproduct().
=sumproduct($D$4:$D$9="week "&$I$3, $B$4:$B$9=$F4, $C$4:$C$9)
You should be able to fill down this formula (as far as needed) for the other categories.
The scenario I am faced with is kind of an odd one. Basically, I am designing a Google Sheet for work that will allow the employees to log their tech support phone calls and then a report will automatically update on another page, keeping a collective tally of sorts of all the activity on a particular day.
What I am trying to do is write a function that searches another sheet for a particular date and, if that date is found, sum a particular column of values for that day only. There are pictures attached that should help explain the problem.
Basically, I am trying to write a general equation in the cell reading "FALSE" that will look up the date of that row (in this case 1/1/2017) in the "Spendgo Minutes" sheet. If that date were to be found somewhere on that sheet (not necessarily at the top of the sheet), the "Minutes Gained" column would be summed up, but for that date only (not the entire column). Here is my running formula right now that has errors:
=IF(COUNTIF('Spendgo Tally'!$A$3:$A,$B7),'Spendgo Tally'!$G3)
Does anyone know how this might be possible? Feel free to ask any clarifying questions.
You're looking for SUMIF
= SUMIF('Spendgo Tally'!$A$3:$A,$B7,'Spendgo Tally'!$G3:$G)