The image below shows different formats for DOB, what is the easiest way to format them to dd/mm/yyyy? The dates on the right are correct however the dates on the left are back to front and missing a 0 for all single numbers.
I would be willing to bet that 08/03/1997 was not originally 08-Mar-1997 but started out as 03-Aug-1997. Same goes for all of the other ambiguous DMY/MDY dates that Excel wrongly converted during the text import. Some dates remained as text because (as in A3) there are not 13 months in a year.
It makes no sense to convert the rest of the data now that half of it is already wrong. Abandon the import and then import it properly.
I could regurgitate the narrative from Excel VBA - Convert Text to Date but it has already been adequately described there. In short, bring the text back in with Data ► Get External Data ► From Text and specify the correct date conversion mask in the Text Import wizard. In VBA, use the Workbooks.OpenText method and specify the xlColumnDataType as MDY.
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.
when I import the data from csv, I cannot work on it because the excel treats the numbers as a text. When I try to sum them or get the average I get 0 or error becouse there are none number. It changes when i delete the dot '.' in one cell and put i again. That operation changes type of variable to number and it works. But I don't want to change tousends of data in this way. How can I convert it somehow to make i work?
Thanks for every answer.
Try to use general options selected properly dont import with text format select general format as given in picture.
I had a data set of 8 millon rows in a txt file with tab delimited format without quotes.
I had 5 of the 14 columns with date values in dd.MM.yyyy format.
Problem 1
I am trying to import the file. In "Format your colums" step, if I choose the type of that colums as "date", it gives errors and all cells in columns turns "?"
So I selected "polynomial" and planed to convert attribute type to date later.
Problem 2 (the real one)
I imported the data and put "nominal to date" operator. When I run I got error in line 14.899:
Cannot parse date: Unparseable date: "0"
I find the line and I see that columns separated wrong. There was a tab character in a string in the a prior cell. So values moved one cell right. And this row was not the only one that moved.
I want to split the rows that has the values in wrong data type for spesified attributes. So I cant correct them manually.
How can I do that in Rapidminer?
Or any other ideas to figure theese problems out?
so most likely you need to adjust the date formatting in this pull-down menu:
To be honest, I usually just import as polynominal and then convert to date in my process. It's easier and reproducable.
You appear to have a broken input file.
The best solution, obviously, is to fix the process that generates the data. Espace or replace tab characters and format the date in a non-ambiguous format such as the ISO date format.
Assuming that you can't fix the date, you should probably write a robust parser program yourself. A generic parser such as rapidminer's won't be able to fix every problem.
When importing data from a text file (csv) into MS Access, I get an error "Type conversion failure" for 1 field. The field has data with date format "yyyy-mm-dd hh:nn:ss" and Access simply refuses to recognise it and places #Num! or simply blank data. The csv file is huge with 8m rows and cannot be opened in Excel to edit the date format. Facing no problems with any other fields.Anyway to avoid this error?
Use the Advanced... button at the field specification step of the import and try these settings:
I don't have the exact date format in the picture above, but it is just to show how to import that specific date.
Date Order should be YMD because in your dates, you have the years coming first, followed by the month and the date.
The date delimiter for your csv will be a dash -, while the time delimiter should be the default colon :. Make sure the 4 digit years checkbox is checked, and I would also check the Leading Zeros in Dates checkbox since your month and dates are in mm and dd formats respectively (i.e. they will begin with 0 if it is a single digit).
If there are problematic dates from your csv now, then this is another problem that won't be easy to tackle. You will maybe have to correct the date manually from the csv before importing it, or import the date as text and then create a new column to manipulate the text dates to date fields (and fix any problematic dates there).
Nothing wrong with the date format, but some records may be empty or have invalid entries.
Or you miss at the import to specify the separators and format for the date field.
If still no luck, link the file and specify text for the field. Then create a select query that uses the linked file as source and use CDate to convert the text date to true date values.
When done, change the query to an append or create table query to import your data.
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.