I have a table in sqlite database where I store data about call logs. As an example assume that my table looks like this
| Calls_count | Calls_duration | Time_slice | Time_stamp |
|    10       |     500        | 21         | 1399369269 |
|     2       |     88         | 22         | 1399383668 |    
Here
Calls_count is calls made since last observations
Calls_duration is the duration of calls in ms since last observations
Time-slice represents a time portion of week. Every day is divided into 4 portions of 6 hours each such that
     06:00-11:59 | 12:00-17:59 | 18:00- 23.59 | 24:00-05:59 |
Mon| 11          | 12          | 13           | 14          | 
Tue| 21          | 22          | 23           | 24          | 
Wed| 31          | 32          | 33           | 34          | 
Thu| 41          | 42          | 43           | 44          | 
Fri| 51          | 52          | 53           | 54          | 
Sat| 61          | 62          | 63           | 64          | 
Sun| 71          | 72          | 73           | 74          | 
And the time_stamp is unix epoch when the observation was made/ record was inserted in the database
Now I want to create a query so that if I specify time_stamp for a start and the end of week, The result is 168 rows of data, giving me sum of calls grouped by hour such that I get 24 rows for each day of week. This is an hourly break down of calls in a week.
SUM_CALLS | Time_Slice | Hour_of_Week |
10        | 11         | 1            |  
0         | 11         | 2            | 
....
7         | 74         | 167          |  
4         | 74         | 168          |  
In the above example of intended result,
    1st row is  Monday 06:00-06:59 
    2nd row is  Monday 07:00-07:59
    Last row is Sunday 04:00-05:59
 
    