I'm currently working on a dataset that has a duration field in time format, I'm trying to convert this into just minutues however haven't been succesful in doing so.
Is there a formula to convert these formats into mintues or seconds.
The format is HH:MM:SS some examples of data displayed and required output below.
Example
00:01:00 = 1
00:01:30 = 1.5
00:02:00 = 2
It depends on whether Excel sees these as DateTime or Text. To know this you can put =ISNUMBER( cell address ). If true, then it is DateTime. You can do =ISTEXT( cell address ) to see if it is text.
If it is DateTime, you can use this to convert it to minutes:
= A1 * 24 * 60
to convert it to minutes (where A1 is the cell with the 00:xx:xx value).
If text, then you need to do:
=TIMEVALUE(A1)*24*60
And even if it is already datetime, you can use =TIMEVALUE( cell address )*24*60 - it will figure out if it is text or already datetime.
Related
I have a number of excel strings in the format "Mon Nov 25 17:20:47 +0000 2019"
I found an earlier post that recommended using =DATE(RIGHT(O2,4),MONTH(DATEVALUE(1 & MID(O2,5,3))),MID(O2,9,2)) to create a usable date field. However, this drops the time which is an important piece of information.
How can I include the time with the date in order for excel to recognize and sort all the information included in the field?
Thank you in advance!
You can just use the same logic with the date formula, but use TIME instead of DATE and of course extract the correct time into the formula =TIME(MID(O2,12,2),MID(O2,15,2),MID(O2,18,2))
Edit:
to combine them both in one field, you will need to add them =DATE(RIGHT(O2,4),MONTH(DATEVALUE(1 & MID(O2,5,3))),MID(O2,9,2)) + TIME(MID(O2,12,2),MID(O2,15,2),MID(O2,18,2))
The rationale of this is because:
Date is expressed in whole numbers i.e. 1 = 01/01/1900, 2 = 02/01/1900, 3 = 03/01/1900... 43794 = 25/11/2019, etc.
Time is expressed as a fraction of the day i.e. 0.5 = 12 hrs/12PM, 0.66666 = 16 hrs/4PM, etc.
so lets say you have 1/1/2019 12.00 PM, the date part that gives 1/1/2019 will be 43466 and the time part will be 0.5. Adding them together will give you 43466.5, and when converted to a date time format it will show as 1/1/2019 12:00 PM.
You can use string functions to create an unambiguous date string, then turn it into a date/time value with a mathematical operation (adding the time value in a string form).
=(MID(A1,9,2)&"-"&MID(A1,5,3)&"-"&RIGHT(A1,4))+MID(A1,12,8)
You'll need to format the result as something appropriate: eg: dd-mmm-yyyy hh:mm
I have imported an excel sheet where the date1 is 4/1/16 date2 is 5/29/14 and date3 is 5/2/14. However, when I import the sheet into SAS and do PROC PRINT gives the first 2 variable columns as "42461" and "41788" while the date3 is 05/02/2014.
I need these date formats consistent b/c I am doing a Cox regression with PROC PHREG.
Any thoughts about how to make these dates consistent?
Thanks!
This probably depends on how the data is represented in Excel and how it is imported into SAS. First, are the formats the same in Excel? The first two are being imported as a number. The second as a string.
In Excel, you can format the column using a date format. Perhaps your import method will recognize this. You can also define another column as a string, using the text(<whatever>, "YYYY-MM-DD") to convert to a string in that format.
Alternatively, you can import all as numbers and then add the value to 1899-12-31. That is the base date for Excel. This makes more sense if you think of "1" as being 1900-01-01.
Because your column had mixed numeric (date) and character values SAS imported the field as character. So the actual dates got imported as the text version of the actual number that Excel stores for dates. The ones that look like date strings in SAS are the fields that were strings in Excel also.
Or if in your case one of the three columns was all valid dates then SAS imported it as a number and assigned a date format to it so there is nothing to fix for that column.
The best way to fix it is to make sure that all of the values in the date column are either real dates or empty cells. Then PROC IMPORT will be able to make the right guess at how to import it.
Once you have the strings in SAS and you want to try to fix them then you need to decide which strings look like integers and which should be treated as date strings.
So you might just check if they have any non-digit characters and assume those are the ones that are date strings instead of numbers. For the ones that look like integers just adjust the number to account for the fact that Excel numbers dates from 1900 and SAS numbers them from 1960.
data want ;
set have ;
if missing(exel_string) then date=.;
else if notdigit(trim(excel_string)) then date=input(excel_string,anydtdte32.);
else date=input(excel_string,32.) + '01JAN1900'd -2 ;
format date yymmdd10. ;
run;
You might wonder why the minus 2? It is because Excel starts from 1 instead of 0 and also because Excel thinks 1900 was a leap year. Here are the Excel date numbers for some key dates and a little SAS program to convert them. Try it.
data excel_dates;
input datestr :$10. excel_num :comma32. #1 sas_num :yymmdd10. ;
diff = sas_num - excel_num ;
format _numeric_ comma14. ;
sasdate1 = excel_num - 21916;
sasdate2 = excel_num + '01JAN1900'd -2 ;
format sasdate: yymmdd10.;
cards;
1900-01-01 1
1900-02-28 59
1900-03-01 61
1960-01-01 21,916
2018-01-01 43,101
;
I have time data from the unix time command like
203m53.5s
I have this data in excel. I want it to be converted to Excell time format so I can do mathematical operations like sum and averages over them.
How can I do this
Replace the m with : and the s with "":
=--SUBSTITUTE(SUBSTITUTE(A1,"m",":"),"s","")
Now that the time is in a format that Excel will recognize we need to change it from string text to a number. The -- is forcing the string into a number by performing a mathematical process of multiplying -1 * -1 to it.
It can be replaced by TIMEVALUE()
Then format the cell with a custom format of:
[mm]:ss.0
One way is to use a forumala to strip out the m and s and use those values for time in a new column in Excel.
Assume the Unix data is in column A.
=(LEFT($A1,FIND("m",$A1)-1)*60+MID($A1,FIND("m",$A1)+1, LEN($A1)-FIND("m",$A1)-1)/84600
then format the cell as custom and choose the time without the AM/PM
Breakdown:
(get the minutes by finding "m")
multiply by 60 to convert to seconds
+ (get the seconds by starting at the location of m, +1 to the location of m-length of the whole string)
-1 to account for the actual "s"
Then divide the whole thing by 84600 to convert to time as a decimal
I've got birthdays as a varchar formatted as dd-mm-yyyy and I'm trying to build a filter that shows only the birthdates of the last 7 days.
Now normally I'd convert that field to a date field, but since it contains dummy values this isn't an option.
So I want to change the output to YYYYMMDD so I can use the value in a => filter.
How can I do this?
If you want the result in string format:
substring([Date],7) || substring([Date],4,2) || substring([Date],1,2)
..or in integer format:
cast(substring([Date],7),integer) * 10000 + cast(substring([Date],4,2),integer) * 100 + cast(substring([Date],1,2),integer)
I have a row in excel with the following data: 1271664970687 (I think it's the number of milliseconds from 1970...).
I would like to have addition row that will show it as date/time.
Converting your value in milliseconds to days is simply (MsValue / 86,400,000)
We can get 1/1/1970 as numeric value by DATE(1970,1,1)
= (MsValueCellReference / 86400000) + DATE(1970,1,1)
Using your value of 1271664970687 and formatting it as dd/mm/yyyy hh:mm:ss gives me a date and time of 19/04/2010 08:16:11
See Converting unix timestamp to excel date-time forum thread.