National_Shipping
New Member
- Joined
- Mar 14, 2019
- Messages
- 2
So, I want to create a Pivot table that displays DELIVERY DATE, sum of RUN#, sum of ORDER#, sum of ORDER AMOUNT, calculates RUN TIME (using DISPATCH TIME & RETURN TIME) in one or two Pivot Table(s). I am having a tough time figuring it out.
Data sample is below that I import into a table from another excel file. So...
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Data sample is below that I import into a table from another excel file. So...
Scheduled Asset | Order # | Invoice # | Delivery Date | Order Amount | Dispatch Time | Run# | Return Time |
b T12 | 939387 | 939387 | 3/1/2019 | 2416.47 | 5:59:00 AM | 3728 | 3:03:00 PM |
b T12 | 939032 | J39032 | 3/1/2019 | 920.38 | 5:59:00 AM | 3728 | 3:03:00 PM |
b T12 | 935695 | 851740 | 3/1/2019 | 0 | 5:59:00 AM | 3728 | 3:03:00 PM |
b T12 | 942040 | 942040 | 3/1/2019 | 646.05 | 5:59:00 AM | 3728 | 3:03:00 PM |
b T12 | 944240 | 944240 | 3/1/2019 | 893.1 | 5:59:00 AM | 3728 | 3:03:00 PM |
b T12 | 941981 | 941981 | 3/1/2019 | 317.94 | 5:59:00 AM | 3728 | 3:03:00 PM |
b T12 | 942344 | 942344 | 3/1/2019 | 891.95 | 5:59:00 AM | 3728 | 3:03:00 PM |
b T12 | 938106 | K38106 | 3/1/2019 | 414.95 | 5:59:00 AM | 3728 | 3:03:00 PM |
b T12 | 944048 | 944048 | 3/1/2019 | 112.35 | 5:59:00 AM | 3728 | 3:03:00 PM |
b T12 | 942994 | 942994 | 3/1/2019 | 336.5 | 5:59:00 AM | 3728 | 3:03:00 PM |
b T12 | 944232 | 851745 | 3/1/2019 | 0 | 5:59:00 AM | 3728 | 3:03:00 PM |
f T5 | 944331 | 944331 | 3/1/2019 | 115.69 | 6:43:00 AM | 3740 | 8:33:00 AM |
f T5 | 943915 | 943915 | 3/1/2019 | 608.16 | 6:43:00 AM | 3740 | 8:33:00 AM |
m T14 | 943407 | J43407 | 3/1/2019 | 2027.04 | 6:50:00 AM | 3739 | 8:25:00 AM |
m T14 | 944204 | 944204 | 3/1/2019 | 472.5 | 6:50:00 AM | 3739 | 8:25:00 AM |
b T13 | 943479 | J43479 | 3/1/2019 | 1488.82 | 6:57:00 AM | 3730 | 11:03:00 AM |
b T13 | 939219 | 939219 | 3/1/2019 | 493.47 | 6:57:00 AM | 3730 | 11:03:00 AM |
b T13 | 941287 | 941287 | 3/1/2019 | 306.33 | 6:57:00 AM | 3730 | 11:03:00 AM |
b T13 | 939608 | 939608 | 3/1/2019 | 2117.76 | 6:57:00 AM | 3730 | 11:03:00 AM |
b T13 | 942643 | 942643 | 3/1/2019 | 198.43 | 6:57:00 AM | 3730 | 11:03:00 AM |
b T15 | 942233 | 942233 | 3/1/2019 | 988.75 | 7:16:00 AM | 3726 | 11:00:00 AM |
b T15 | 943766 | 943766 | 3/1/2019 | 102.77 | 7:16:00 AM | 3726 | 11:00:00 AM |
b T15 | 936471 | 936471 | 3/1/2019 | 2148.31 | 7:16:00 AM | 3726 | 11:00:00 AM |
b T15 | 936495 | 936495 | 3/1/2019 | 2148.31 | 7:16:00 AM | 3726 | 11:00:00 AM |
b T15 | 936564 | 936564 | 3/1/2019 | 2097.7 | 7:16:00 AM | 3726 | 11:00:00 AM |
b T11 | 899291 | I99291 | 3/1/2019 | 11416 | 7:19:00 AM | 3729 | 11:36:00 AM |
b T11 | 941893 | 941893 | 3/1/2019 | 277.18 | 7:19:00 AM | 3729 | 11:36:00 AM |
b T11 | 942165 | 942165 | 3/1/2019 | 268.71 | 7:19:00 AM | 3729 | 11:36:00 AM |
b T11 | 925239 | 925239 | 3/1/2019 | 853.3 | 7:19:00 AM | 3729 | 11:36:00 AM |
b T11 | 939620 | 851741 | 3/1/2019 | 0 | 7:19:00 AM | 3729 | 11:36:00 AM |
m T10 | 944194 | 944194 | 3/1/2019 | 10276.05 | 7:55:00 AM | 3738 | 10:00:00 AM |
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