Importing file by Date Time
The Date Time period mapping option can only be used when the dataset’s period type is 1-Months, 2-Weeks, or 9-Weeks. It cannot be used for 3-Quarters or other period types. When a weeks period type is selected, DMP automatically converts the date into the corresponding week number.
If you have the date format MM?DD?YYYY, the question mark represents the separator between the month (MM), day (DD), and year (YYYY). The separator can be any character, special character, or null value. However, it cannot be a number, and it must not be the same as the file’s list separator.
If no separator is used (null), the month and day should always be in two-digit format. Single-digit months and days must have a leading zero (0).
This table shows the dates that are acceptable for the listed formats for the date September 8, 2017:
| dd/MM/yyyy | MM/dd/yyyy | yyyy/MM/dd |
|---|---|---|
| 08/09/2017 | 09/08/2017 | 2017/09/08 |
| 8/9/2017 | 9/8/2017 | 2017/9/8 |
| 08092017 | 09082017 | 20170908 |
This table shows the formats that are not acceptable for the same example date (including but not limited to):
| dd/MM/yyyy | MM/dd/yyyy | yyyy/MM/dd |
|---|---|---|
| 892017 | 982017 | 201798 |
Before importing, verify that these conditions are met:
- The file must contain a column for the date with similar date format selected from the Formats field.
- The date can contain time but the date must come first before the time. For example, 20/11/2017 T23:59:59.000.
- The column name input in the Import File tab must match the column name in the file.
- The date must be in any of these formats:
- dd?mm?yyyy
- mm?dd?yyyy
- yyyy?mm?dd
- There must be no duplicate lines. Two rows are considered duplicates if they share the same values in all other fields and their dates fall within the same period, meaning the same month for a monthly period type or the same week for a weekly period type, even if the exact dates are different.
If the date and time format is dd/mm/yyyy and the period type is month, the first two lines in this example are considered duplicate since they are on the same month:
*FRF,UCWHLO,UCITNO,DateTime,UCDEMA
,1,LALEN01,20/09/2012,5
,1,LALEN01,25/09/2012,5
,1,LALEN02,20/10/2012,5
,1,LALEN02,20/11/2012,5
,1,LALEN03,20/10/2012,5
,1,LALEN03,20/11/2012,5
Here’s a sample CSV file for Date Time:
,001,0001CGHAI,08/01/2017,500
,001,0001CGHAI,08/02/2017,620
,001,0001CGHAI,08/03/2017,480
,001,0002CGHAI,08/01/2017,300
,001,0002CGHAI,08/02/2017,310
,001,0003CGHAI,08/01/2017,150
,001,0003CGHAI,08/02/2017,200