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apxprdtr10
Calcite | Level 5

Hi all,

I have a data set in which there is a variable named time,

snippets from time variable:

0:00:00
1:00:00
2:00:00
3:00:00
4:00:00
5:00:00
6:00:00
7:00:00
8:00:00
9:00:00
10:00:00
11:00:00
12:00:00
13:00:00
14:00:00
15:00:00
16:00:00
17:00:00
18:00:00
19:00:00
20:00:00
21:00:00
22:00:00
23:00:00

after 23:00:00, in data set it is in repetition form but when i import this data set it will get converted into this pattern:

0:00:00

1:00:00

2:00:00

3:00:00

4:00:00

5:00:00

6:00:00

7:00:00

8:00:00

9:00:00

10:00:00

1100:00

12:00:00

13:00:00

14:00:00

15:00:00

16:00:00

17:00:00

18:00:00

19:00:00

20:00:00

21:00:00

22:00:00

23:00:00

24:00:00

25:00:00 and so on.

Please help me in getting desired result.

6 REPLIES 6
PeterClemmensen
Tourmaline | Level 20

How do you import the data? And how is the data stored?

 

Please provide more information and be more specific. We have no chance of helping you otherwise

apxprdtr10
Calcite | Level 5

the above format of time is same as data stored.

and importing as:-

proc import datafile='/folders/myfolders/ab/cs1.xlsx'
out=cs.weather dbms=xlsx replace;
getnames=yes;
sheet=weather;
datarow=2;
guessingrows=1000;
run;

 

Now i think somebody could help me.

 

Kurt_Bremser
Super User

What you see in Excel is not what you have. The Excel time format creates a display of the internal number modulo 86400, while SAS displays hours beyond 24.

Reeza
Super User

What's your variable type and format?

apxprdtr10
Calcite | Level 5

Type-Numeric

Format-Time.

Kurt_Bremser
Super User

I looked deeper into that.

 

There are no time values in Excel (or other spreadsheet programs). Excel actually stores times as fractions of days (so everything dealing with time - dates and times - becomes a datetime internally), and the time format just discards everything before the comma.

 

So when you enter a time series in Excel and expand that beyond 23:59:59, you get an internal value of 1.xxxxx. When SAS tries to import that (by multiplying with 86400 to get a proper time value), you get a value beyond 24 hours, which is displayed as 25:, 26: and so on, until you get more than 99 hours, at which point the SAS format will probably overflow and display a series of asterisks.

So, after import, you should do

timevar = mod(timevar,86400);

to get rid of the "hidden dates".

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