I am still trying to learn this software as well as the search function on the community, but wanted to get this out there as a tandem to find solution quicker hopefully.
I have a dataset as seen below, and the desired output is the last column (I will then use that desired output for further analysis):
| Date | Job | Type | Hours | Desired Output |
| 9/23/2013 | 1 | S | 6 | 6 |
| 9/27/2013 | 1 | Q | 0 | |
| 1/6/2014 | 1 | S | 2 | |
| 2/21/2014 | 1 | S | 2 | |
| 4/30/2014 | 1 | S | 3 | |
| 4/30/2014 | 1 | S | 0.5 | 7.5 |
| 5/2/2014 | 1 | Q | 0 | |
| 5/2/2014 | 1 | Q | 0 | |
| 10/16/2014 | 1 | E | 0.5 | |
| 10/16/2014 | 1 | S | 2.5 | 2.5 |
| 3/12/2015 | 1 | Q | 0 | |
| 4/16/2015 | 1 | Q | 0 | |
| 4/16/2015 | 1 | Q | 0 | |
| 4/16/2015 | 1 | Q | 0 | |
| 4/16/2015 | 1 | Q | 0 | |
| 4/18/2015 | 1 | E | 0.5 | |
| 4/23/2015 | 1 | Q | 0 | |
| 4/23/2015 | 1 | Q | 0 | |
| 4/23/2015 | 1 | Q | 0 | |
| 4/23/2015 | 1 | Q | 0 | |
| 4/23/2015 | 1 | Q | 0 | |
| 4/24/2015 | 1 | S | 3 | 3 |
| 4/27/2015 | 20 | S | 1 | 1 |
| 5/4/2015 | 20 | Q | 0 | |
| 5/19/2015 | 20 | E | 0.4 | |
| 7/22/2015 | 20 | Q | 0 | |
| 12/9/2015 | 20 | Q | 0 | |
| 2/12/2016 | 20 | S | 6 | 6 |
| 2/17/2016 | 20 | Q | 0 | |
| 5/26/2016 | 20 | E | 0.5 | |
| 5/26/2016 | 20 | S | 6 | 6 |
| 8/24/2016 | 20 | E | 0.5 | |
| 1/16/2017 | 20 | S | 4.5 | |
| 1/17/2017 | 20 | S | 1.5 | 6 |
| 1/20/2017 | 20 | E | 0.2 | |
I am basically wanting to sum the Hours between Types and only for S type, but also make sure it only sums the "S" type hours by the Job.
So if the Job changes but there is not a change in Type it needs to sum those separately (ex. Job 1 to 20)
Trying to work this out with the formula tool, but not having much luck.