I have an Excel sheet where i have a Column with Format "Currency". When i sort on this column it is not sorting properly seems like taking data as "String".
Here is an example
Potential Amount
$9,421
$86,533
$12,727
$77,720
should be sort to following
Potential Amount
$9,421
$12,727
$77,720
$86,533
Is there any way to keep data format "Currency" like $8,99,4 and make sorting work as well.
Please advise.
I was only able to replicate your problem by formatting some of the data as text and some as currency.
As I don't have enough points to comment(at this point), I'll leave an answer instead. The comment left by Jerry under your original question should fix your problem.
It looks like some of your data has a different format. Please select ALL of your data and reformat it as currency.
Then re-sort the data.
Seems all values are string. Covert it to values like
=VALUE(MID(A1,2,LEN(A1)))
Then format-cell apply currency with $ symbol. Now you can apply sorting.
Related
I have a spreadsheet I need to make in Google Sheets. The source of some of the data is exported to an Excel sheet. The data arrives in a dd/mm/yyyy format and I need to display it in a MON d format (Ex Sep 5).
The problem is both excel and sheets look at the date that arrives and think it is mm/dd/yyyy.
For example, 02/08/2022 is believed to be Febuary 8 even though it should be Aug 2. The problem then arises that neither of these platforms end up knowing how to convert this to Aug 2 and I end up having to do this manually.
Does anyone know how to get around this?
I have tried adjusting the format of the date, as well as using DateValue to convert (this fails since it understands the date as mm/dd/yyyy even when it is dd/mm/yyyy).
Any leads would be appreciated!
Thanks!
In Google Sheets, choose File > Settings > Locale and select a locale that uses the dd/mm/yyyy date format, before importing the data. You can then format the date column the way you prefer.
in gs:
=TEXT(REGEXREPLACE(A1&""; "(\d+)\/(\d+)\/(\d+)"; "$1/$1/$3"); "mmm d")
Try the following and format the result to your liking
=INDEX(IF(ISNUMBER(U2:U5),U2:U5,
IF(U2:U5=DATEVALUE("1899-12-30"),,
(MID(U2:U5,4,3)&LEFT(U2:U5,3)&RIGHT(U2:U5,4))*1)))
(Do adjust the formula according to your ranges and locale)
Functions used:
INDEX
IF
DATEVALUE
ISNUMBER
TRUNC
MID
LEFT
RIGHT
Well, for a formulaic solution, if the date is in A1, then the following places the correct date in B1:
=DATEVALUE(TEXT(A1,"DD/MM/YYYY"))
The TEXT function makes a string that will be the same form as your imported string out of the date produced during import. DATEVALUE then gives the proper date you desired.
The trick is in the TEXT step in which you reverse month and day in the string for DATEVALUE.
Naturally, instead of a helper column, it could just be wrapped around any reference to a date from column A, though one would have to remember to do so for all the years the spreadsheet is in use.
If you are importing, not just opening a .CSV file via File|Open and going from there, you have an opportunity to solve all your problems. You use the Ribbon menuing system's Data menu, select the very leftmost thing, Get Data and from the (no arguing THIS isn't a menu) menu that drops down, Legacy Wizards, then finally From Text (Legacy) which will open the old Excel Import Wizard. (You may notice this is very like the Data|Text to Columns Ribbon menu choice and that is because that choice is the old wizard minus the steps at the start that go looking to another file for the data because it knows, by law, that it has to already be in the spreadsheet... in other words, it looks the same because it IS the same.)
Then make selections for the first couple dialogs it presents you to get to the dialog in which you tell it to import columns as whatever: general (let Excel decide), text, date, and do not import. Choose Date and make the selection of DMY to import them properly as you desire them to be so you are never presented with the problem at all.
As you might guess, you can use the abbreviated wizard via the "Text to Columns" feature to do the same thing after import when you see they are reversed. Since it is a single column of data, the result will overwrite the original simplifying your work.
Why does this happen at all? Well, the "locale" folks have the idea. When Excel imports numbers that are in a form it recognizes could be a date, it looks to the operating system settings for the selected ways dates are understood. So if your operating system believes a date should be displayed "Month Day, Year" and Excel has a set of data it thinks fits that mold, it will convert them all using it. So you get those Feb 8's rather than Aug 2's.
Interestingly, it does two other things of note:
It looks at 8, count 'em, 8 rows of data to decide the data fits the pattern. Even with 1,000,000 rows to import, it looks at... 8.
Then it does them ALL as if God himself wrote the "8"... and dates like 25/03/2022 get imported as text not a real date, because they (oh, obviously) can't be dates... "25" can't be a month!
It IS possible to change settings (DEEP settings) to make Excel consider X number of rows in a data set before deciding such things. I found them here, on the internet, once upon a time, though I shouldn't like trying to find them again. It will consider up to a million rows in such an import, but... that'd make it pret-ty slow. And that's a million rows for EACH data column. I won't even say that "adds up" - I'll point out it "multiplies up."
Another technique is to add some number of starting rows to force the desired pattern onto the import. I've heard it works in TIME column imports so it ought to in DATE column imports but I've not verified such.
My bet is you will find the use of the "Text to Columns" feature of most use if you can use a hands-on approach - it does require literal action on your part, but is a fast operation. If you will see others using the spreadsheet though... well, you need a formulaic solution or a VBA one (macro with button for them to have some fun clicking as their reward for doing what they were trained to do instead of complaining to the boss you make bad spreadsheets). For a formulaic solution, the above formula is simple.
Last thought though: there's no error-checking and error-overcoming in it. So a date like "25/03/2022" in the data that imported as literal text is a problem. For handling the latter, an up-to-date approach could be:
=IF(TYPE(A1)=1,DATEVALUE(TEXT(A1,"dd/mm/yyyy")),DATE(INDEX(TEXTSPLIT(A1,"/"),1,3),INDEX(TEXTSPLIT(A1,"/"),1,2),INDEX(TEXTSPLIT(A1,"/"),1,1)))
in which the DATE(etc. portion handles finding text of the "25/03/2022" kind. Lots of less up-to-date ways to split the text Excel would have placed in the column, but since demonstrating what to do if it existed was the point, I took the easy way out. (Tried for a simple version but it wouldn't take INDEX(TEXTSPLIT(A1,"/"),1,{3,2,1}) from me for the input parameters to DATE.) TYPE will give a 1 if Excel imported a datum as a date (number), and a 2 if brought in as text. If empty or strange strings could exist, you'll need to deal with what those present you as well.
I am using a football dataset where I have changed all the countries to specific geographical areas in their column headers. What I want to do is I want to add up all the columns with the same geographic value with all the values added up.
This is how my data looks like:
The value of #players should still remain the same after condensing the data. I tried using the data function, but I could not figure it out.
My output should ideally look like a column with all the EUs added up, the AFRs added up etc.
It's actually unclear as to exactly what it is you're trying to do.
Here is an example use of SUMIF that addresses one possible interpretation:
=SUMIF($B$1:$E$1,F$1,$B2:$E2)
And here is an image showing how and were that formula would be used in this sample table:
If this doesn't address what you're aimed for, could you make an effort to do as I have done and show a small sample with the expected results.
I was able to solve it using the SUM function.
I used SUM(C2,C6,C7....) every column that had an EU in it and did the same for the other headers.
I had created a Pivot which uses Power Bi model as it's data source (Analysis services). Since my data is huge and there limitations of pivot, I am exploring other ways of pulling the data.
I converted the sample Pivot to Olap Formula and I think this is the best solution from all the options I have explored. But there is some odd situation I am facing where I need some help.
I tweaked the structure as shown below. So now whenever I change any string like in the below example if I manually change the currency from SGD to USD, I am getting the result. But whenever I try to Manually change any numeric value like Segment, I am getting #N/A. The same numbers when pulled using pivot gives the number.
I have tried to insert the numeric value in following ways
40
'40
="40"
=text("40",0)
text to columns->text
but till now I am not able to crack this.
The cubevalue function expects dimensions on which it is going to filter the values. If you want to provide the value manually you'll have to do it like this:
=CUBEVALUE("Sales","[Measures].[Profit]","[Time].[2004]","[All Product].[Beverages]")
Meaning you'll have to change the 40 to something like [MyDimension].[MyHierarchy].[40]
I am having a little difficulty conceptually understanding how to complete a task. Please forgive the context, but it will help.
I have a set of timetable information that contains the following
Date_Start (mm/dd/yyyy hh:mm:ss)
Date_End (mm/dd/yyyy hh:mm:ss)
Activity_location (String, code, example: B/B/012)
Other information that is not important
We have performed an audit (people going and doing a manual check on room occupancy). This audit was done using a google form which has now produced a spreadsheet. Unfortunately this doesn't quite match the format of the other one and instead contains:
Date
Time
B/B/012
B/B/011
... etc.
The problem is that each room is an individual column, regardless of if it was audited, which produces .... a lot of columns. I have already combined the Date and Time from the second dataset to produce a comparable datetime.
My task it to compare the information, so I have the timetable data (what should have happened) and I have the audit information (what did happen) and I need to find any discrepancies.
I am just having a little difficulty understanding how I might get these datasets into a format where I can compare them. I would really appreciate any help you might be able to give.
If Excel and you do have the dates (stripped from unneeded characters) in a column, you simply need to tell Excel how to interpret these values as dates. For instance, if you have the value 1/3/16, Excel may interpret it as March 1st, 2016 or Jan 3td, 2016.
To tell Excel how to interpret dates, you select the column (all cells in the column having values), right-click and select Format cells.... There, you can tell Excel that the value should be read as dd/mm/yy or mm/dd/yy.
Once you have Excel fully aware of the meaning of those dates, you can simply compare them (e.g. if(B3>G3... will check if the date in B3 is later than that in G3).
Hope this assists you to proceed.
UPDATE
Based on the exchange through comments, here is my final answer.
If you need to establish a relation (say between spreadsheet "A" and spreadsheet "B") when not only there is a on-to-one relation between columns/rows of both sheets, and (even worse) the one-to-many correlation is not predictable (meaning, in one case you have a one-to-one, in the next a one-to-4 and in the next a one-to-17), the only solution is either pivoting one of the tables or writing some MACROS.
I don't see any other way our of this. Sorry.
I have a big .xls file. Some numbers show as a date.
31.08 shows as 31.aug
31.13 shows as 31.13 (that is what i want all columns to be)
When I reformat 31.aug to number it shows as 40768,00
I have found no ways to convert 31.aug to 31.08 as a number. All I am able to do is to reformat 31.aug as d.mm and then it shows as 31.08 and when I try to reformat it from 31.08 to number it shows as 40768,00. No way to cheat Excel using different types of cell formats.
How's your regional settings? There are some Regions where the short date is identified by dd.mm.yyyy. (Estonian, for instance). Maybe if you change the regional settings for US / UK and paste the data again it won't be changed.
Worked in a small test I did here. Hope it helps.
Internally Excel stores Dates as integer. 1 is January 1. 1900. If you entered something that Excel interprets as a date then it will be converted into an integer. I think from this point on there is no way back.
There is an setting in Options on the tab "international" where you can define your decimal separator. If you set this to ".", then your Excel should accept 30.12 as decimal number and not as date.
As pointed out by others, Excel interprets some of your data as a date instead of a number, which depends on your regional settings. To avoid this happening try Tiago's and stema's responses, they will work depending on your regional settings.
To repair your problem in a large file after it has happened without re-entering/re-importing your data, you can use something like
=DAY(B5)+MONTH(B5)/100
to convert a "date" back to a number. Excel will still display it as a date when you first enter this, but when you reformat it as "Number" now it will display the value you originally entered.
Since your column seems to contain a mix between correct numbers and dates, you need to add an if() construct to separate the two cases. If you haven't changed the display format yet (i.e. it still displays 31.Aug) you can use
=IF(LEFT(CELL("format";B7);1)="D";DAY(B7)+MONTH(B7)/100;B7)
which checks if the format is a "D"ate format. If you have already changed the format to Number, but know all your correct data is below 40000, you can use
=IF(B5>40000;DAY(B5)+MONTH(B5)/100;B5)
As suggested above, go to Control Panel - Region and Language - Advanced Settings - Numbers - and change the Decimal Symbol from "," to "."
Good luck!
The data you are pasting, is it by any chance a pivot table.
For example, like you, I am copying a lot of data into a large spreadsheet. The data I am copying is from another sheet and it is a pivot table.
If I paste normally, half will show up as numbers, which they are in the source file and half will show up as dates, for no reason, which drives me insane.
If I Paste->Values however, they will all show up as numbers, and as I don't need the pivot functionality in the destination file this solution is fine.
All you have to do is format cell.
1-right click on the cell where you want to insert the number.
2-then click on Number and select 'General' from the number menu.
Hope this will help future people with the same issue.