fastballfreddy
Board Regular
- Joined
- Jan 13, 2015
- Messages
- 60
- Office Version
- 2016
- Platform
- Windows
I have 2 pivot tables that I'd like to be able to join in a certain view and not sure if it can be done or not. Looking for suggestions and maybe a pivot table isn't the best option so open to ideas.
I want to see Hour and Time (avaliable) on top with Jobs on the left side. Adding xl2bb of 2 pivot tables, data for the pivot table and format I'm looking to obtain (open to other ideas that may work as well).
Currently I have 2 pivot tables. One for the jobs done and the other for time.
Here is the data for the pivot table although I wasn't able to show both dates.
This is how i'd like to have the pivot table.
I want to see Hour and Time (avaliable) on top with Jobs on the left side. Adding xl2bb of 2 pivot tables, data for the pivot table and format I'm looking to obtain (open to other ideas that may work as well).
Currently I have 2 pivot tables. One for the jobs done and the other for time.
Book2 | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | G | H | I | J | K | L | |||
3 | Count of Job | _ | ||||||||||||
4 | Row Labels | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | Grand Total | ||
5 | 01/03/2023 | 7 | 7 | 8 | 7 | 8 | 7 | 8 | 7 | 7 | 66 | |||
6 | Job 1 | 5 | 2 | 7 | ||||||||||
7 | Job 2 | 2 | 2 | 4 | ||||||||||
8 | Job 3 | 5 | 1 | 6 | ||||||||||
9 | Job 4 | 4 | 4 | |||||||||||
10 | Job 5 | 1 | 7 | 8 | 3 | 19 | ||||||||
11 | Job 6 | 4 | 8 | 7 | 7 | 26 | ||||||||
12 | (blank) | |||||||||||||
13 | 01/04/2023 | 17 | 20 | 20 | 20 | 13 | 10 | 10 | 10 | 10 | 8 | 138 | ||
14 | Job 2 | 3 | 3 | |||||||||||
15 | Job 5 | 13 | 20 | 8 | 3 | 44 | ||||||||
16 | Job 8 | 12 | 13 | 6 | 31 | |||||||||
17 | Job 9 | 1 | 10 | 7 | 10 | 8 | 36 | |||||||
18 | Job3 | 17 | 7 | 24 | ||||||||||
19 | (blank) | |||||||||||||
20 | Grand Total | 24 | 27 | 28 | 27 | 21 | 17 | 18 | 17 | 17 | 8 | 204 | ||
21 | ||||||||||||||
28 | ||||||||||||||
29 | Sum of time | _ | ||||||||||||
30 | Row Labels | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | Grand Total | ||
31 | 01/03/2023 | 0:55 | 1:00 | 1:00 | 0:45 | 1:00 | 0:30 | 1:00 | 0:45 | 0:30 | 7:25 | |||
32 | 01/04/2023 | 1:00 | 1:00 | 0:51 | 0:45 | 1:00 | 0:30 | 0:43 | 0:45 | 1:00 | 7:34 | |||
33 | Grand Total | 0:55 | 2:00 | 2:00 | 1:36 | 1:45 | 1:30 | 1:30 | 1:28 | 1:15 | 1:00 | 14:59 | ||
Sheet3 |
Here is the data for the pivot table although I wasn't able to show both dates.
Book2 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | G | H | I | J | |||
1 | ID | Job | date stamp | name | Dept | time | hour 2 | hour | month | date | ||
2 | 1234 | Job 1 | 1/3/2023 05:09:00 AM | Cristina | 5 | 1 | 01/03/2023 | |||||
3 | 1235 | Job 1 | 1/3/2023 05:17:00 AM | Cristina | 5 | 1 | 01/03/2023 | |||||
4 | 1236 | Job 1 | 1/3/2023 05:25:00 AM | Cristina | 5 | 1 | 01/03/2023 | |||||
5 | 1237 | Job 1 | 1/3/2023 05:33:00 AM | Cristina | 5 | 1 | 01/03/2023 | |||||
6 | 1238 | Job 1 | 1/3/2023 05:41:00 AM | Cristina | 5 | 1 | 01/03/2023 | |||||
7 | 1239 | Job 2 | 1/3/2023 05:49:00 AM | Cristina | 5 | 1 | 01/03/2023 | |||||
8 | 1240 | Job 2 | 1/3/2023 05:57:00 AM | Cristina | 5 | 1 | 01/03/2023 | |||||
9 | 1241 | Job 2 | 1/3/2023 06:05:00 AM | Cristina | 6 | 1 | 01/03/2023 | |||||
10 | 1242 | Job 2 | 1/3/2023 06:13:00 AM | Cristina | 6 | 1 | 01/03/2023 | |||||
11 | 1243 | Job 3 | 1/3/2023 06:21:00 AM | Cristina | 6 | 1 | 01/03/2023 | |||||
12 | 1244 | Job 3 | 1/3/2023 06:29:00 AM | Cristina | 6 | 1 | 01/03/2023 | |||||
13 | 1245 | Job 3 | 1/3/2023 06:37:00 AM | Cristina | 6 | 1 | 01/03/2023 | |||||
14 | 1246 | Job 3 | 1/3/2023 06:45:00 AM | Cristina | 6 | 1 | 01/03/2023 | |||||
15 | 1247 | Job 3 | 1/3/2023 06:53:00 AM | Cristina | 6 | 1 | 01/03/2023 | |||||
16 | 1248 | Job 3 | 1/3/2023 07:01:00 AM | Cristina | 7 | 1 | 01/03/2023 | |||||
17 | 1249 | Job 1 | 1/3/2023 07:09:00 AM | Cristina | 7 | 1 | 01/03/2023 | |||||
18 | 1250 | Job 1 | 1/3/2023 07:17:00 AM | Cristina | 7 | 1 | 01/03/2023 | |||||
19 | 1251 | Job 4 | 1/3/2023 07:25:00 AM | Cristina | 7 | 1 | 01/03/2023 | |||||
20 | 1252 | Job 4 | 1/3/2023 07:33:00 AM | Cristina | 7 | 1 | 01/03/2023 | |||||
21 | 1253 | Job 4 | 1/3/2023 07:41:00 AM | Cristina | 7 | 1 | 01/03/2023 | |||||
22 | 1254 | Job 4 | 1/3/2023 07:49:00 AM | Cristina | 7 | 1 | 01/03/2023 | |||||
23 | 1255 | Job 5 | 1/3/2023 07:57:00 AM | Cristina | 7 | 1 | 01/03/2023 | |||||
24 | 1256 | Job 5 | 1/3/2023 08:05:00 AM | Cristina | 8 | 1 | 01/03/2023 | |||||
25 | 1257 | Job 5 | 1/3/2023 08:13:00 AM | Cristina | 8 | 1 | 01/03/2023 | |||||
26 | 1258 | Job 5 | 1/3/2023 08:21:00 AM | Cristina | 8 | 1 | 01/03/2023 | |||||
27 | 1259 | Job 5 | 1/3/2023 08:29:00 AM | Cristina | 8 | 1 | 01/03/2023 | |||||
28 | 1260 | Job 5 | 1/3/2023 08:37:00 AM | Cristina | 8 | 1 | 01/03/2023 | |||||
29 | 1261 | Job 5 | 1/3/2023 08:45:00 AM | Cristina | 8 | 1 | 01/03/2023 | |||||
30 | 1262 | Job 5 | 1/3/2023 08:53:00 AM | Cristina | 8 | 1 | 01/03/2023 | |||||
31 | 1263 | Job 5 | 1/3/2023 09:01:00 AM | Cristina | 9 | 1 | 01/03/2023 | |||||
32 | 1264 | Job 5 | 1/3/2023 09:09:00 AM | Cristina | 9 | 1 | 01/03/2023 | |||||
33 | 1265 | Job 5 | 1/3/2023 09:17:00 AM | Cristina | 9 | 1 | 01/03/2023 | |||||
34 | 1266 | Job 5 | 1/3/2023 09:25:00 AM | Cristina | 9 | 1 | 01/03/2023 | |||||
35 | 1267 | Job 5 | 1/3/2023 09:33:00 AM | Cristina | 9 | 1 | 01/03/2023 | |||||
36 | 1268 | Job 5 | 1/3/2023 09:41:00 AM | Cristina | 9 | 1 | 01/03/2023 | |||||
37 | 1269 | Job 5 | 1/3/2023 09:49:00 AM | Cristina | 9 | 1 | 01/03/2023 | |||||
38 | 1270 | Job 5 | 1/3/2023 09:57:00 AM | Cristina | 9 | 1 | 01/03/2023 | |||||
39 | 1271 | Job 5 | 1/3/2023 10:05:00 AM | Cristina | 10 | 1 | 01/03/2023 | |||||
40 | 1272 | Job 5 | 1/3/2023 10:13:00 AM | Cristina | 10 | 1 | 01/03/2023 | |||||
41 | 1273 | Job 5 | 1/3/2023 10:21:00 AM | Cristina | 10 | 1 | 01/03/2023 | |||||
42 | 1274 | Job 6 | 1/3/2023 10:29:00 AM | Cristina | 10 | 1 | 01/03/2023 | |||||
43 | 1275 | Job 6 | 1/3/2023 10:37:00 AM | Cristina | 10 | 1 | 01/03/2023 | |||||
44 | 1276 | Job 6 | 1/3/2023 10:45:00 AM | Cristina | 10 | 1 | 01/03/2023 | |||||
45 | 1277 | Job 6 | 1/3/2023 10:53:00 AM | Cristina | 10 | 1 | 01/03/2023 | |||||
46 | 1278 | Job 6 | 1/3/2023 11:01:00 AM | Cristina | 11 | 1 | 01/03/2023 | |||||
47 | 1279 | Job 6 | 1/3/2023 11:09:00 AM | Cristina | 11 | 1 | 01/03/2023 | |||||
48 | 1280 | Job 6 | 1/3/2023 11:17:00 AM | Cristina | 11 | 1 | 01/03/2023 | |||||
49 | 1281 | Job 6 | 1/3/2023 11:25:00 AM | Cristina | 11 | 1 | 01/03/2023 | |||||
50 | 1282 | Job 6 | 1/3/2023 11:33:00 AM | Cristina | 11 | 1 | 01/03/2023 | |||||
51 | 1283 | Job 6 | 1/3/2023 11:41:00 AM | Cristina | 11 | 1 | 01/03/2023 | |||||
52 | 1284 | Job 6 | 1/3/2023 11:49:00 AM | Cristina | 11 | 1 | 01/03/2023 | |||||
53 | 1285 | Job 6 | 1/3/2023 11:57:00 AM | Cristina | 11 | 1 | 01/03/2023 | |||||
54 | 1286 | Job 6 | 1/3/2023 12:05:00 PM | Cristina | 12 | 1 | 01/03/2023 | |||||
55 | 1287 | Job 6 | 1/3/2023 12:13:00 PM | Cristina | 12 | 1 | 01/03/2023 | |||||
56 | 1288 | Job 6 | 1/3/2023 12:21:00 PM | Cristina | 12 | 1 | 01/03/2023 | |||||
57 | 1289 | Job 6 | 1/3/2023 12:29:00 PM | Cristina | 12 | 1 | 01/03/2023 | |||||
58 | 1290 | Job 6 | 1/3/2023 12:37:00 PM | Cristina | 12 | 1 | 01/03/2023 | |||||
59 | 1291 | Job 6 | 1/3/2023 12:45:00 PM | Cristina | 12 | 1 | 01/03/2023 | |||||
60 | 1292 | Job 6 | 1/3/2023 12:53:00 PM | Cristina | 12 | 1 | 01/03/2023 | |||||
61 | 1293 | Job 6 | 1/3/2023 01:01:00 PM | Cristina | 13 | 1 | 01/03/2023 | |||||
62 | 1294 | Job 6 | 1/3/2023 01:09:00 PM | Cristina | 13 | 1 | 01/03/2023 | |||||
63 | 1295 | Job 6 | 1/3/2023 01:17:00 PM | Cristina | 13 | 1 | 01/03/2023 | |||||
64 | 1296 | Job 6 | 1/3/2023 01:25:00 PM | Cristina | 13 | 1 | 01/03/2023 | |||||
65 | 1297 | Job 6 | 1/3/2023 01:33:00 PM | Cristina | 13 | 1 | 01/03/2023 | |||||
66 | 1298 | Job 6 | 1/3/2023 01:41:00 PM | Cristina | 13 | 1 | 01/03/2023 | |||||
67 | 1299 | Job 6 | 1/3/2023 01:49:00 PM | Cristina | 13 | 1 | 01/03/2023 | |||||
68 | 01/03/23 | Cristina | Dept ID 01 | 0:55 | 5:00 | 5 | 1 | 01/03/2023 | ||||
69 | 01/03/23 | Cristina | Dept ID 01 | 1:00 | 6:00 | 6 | 1 | 01/03/2023 | ||||
70 | 01/03/23 | Cristina | Dept ID 01 | 1:00 | 7:00 | 7 | 1 | 01/03/2023 | ||||
71 | 01/03/23 | Cristina | Dept ID 01 | 0:45 | 8:00 | 8 | 1 | 01/03/2023 | ||||
72 | 01/03/23 | Cristina | Dept ID 01 | 1:00 | 9:00 | 9 | 1 | 01/03/2023 | ||||
73 | 01/03/23 | Cristina | Dept ID 01 | 0:30 | 10:00 | 10 | 1 | 01/03/2023 | ||||
74 | 01/03/23 | Cristina | Dept ID 01 | 1:00 | 11:00 | 11 | 1 | 01/03/2023 | ||||
75 | 01/03/23 | Cristina | Dept ID 01 | 0:45 | 12:00 | 12 | 1 | 01/03/2023 | ||||
76 | 01/03/23 | Cristina | Dept ID 01 | 0:30 | 13:00 | 13 | 1 | 01/03/2023 | ||||
Sheet1 |
Cell Formulas | ||
---|---|---|
Range | Formula | |
H2:H67 | H2 | =HOUR(C2) |
I2:I76 | I2 | =MONTH(C2) |
J2:J76 | J2 | =TEXT(C2,"MM/DD/YYYY") |
H68:H76 | H68 | =HOUR(G68) |
This is how i'd like to have the pivot table.
Book2 | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | G | H | I | J | K | |||
1 | Hour | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | Grand Total | ||
2 | Time | 0:55 | 1:00 | 1:00 | 0:45 | 1:00 | 0:30 | 1:00 | 0:45 | 0:30 | 7:25 | ||
3 | 01/03/2023 | 7 | 7 | 8 | 7 | 8 | 7 | 8 | 7 | 7 | 66 | ||
4 | Job 1 | 5 | 2 | 7 | |||||||||
5 | Job 2 | 2 | 2 | 4 | |||||||||
6 | Job 3 | 5 | 1 | 6 | |||||||||
7 | Job 4 | 4 | 4 | ||||||||||
8 | Job 5 | 1 | 7 | 8 | 3 | 19 | |||||||
9 | Job 6 | 4 | 8 | 7 | 7 | 26 | |||||||
10 | (blank) | ||||||||||||
11 | Time | 1:00 | 1:00 | 0:51 | 0:45 | 1:00 | 0:30 | 0:43 | 0:45 | 1:00 | 7:34 | ||
12 | 01/04/2023 | 17 | 20 | 20 | 20 | 13 | 10 | 10 | 10 | 18 | 138 | ||
13 | Job 2 | 3 | 3 | ||||||||||
14 | Job 5 | 13 | 20 | 8 | 3 | 44 | |||||||
15 | Job 8 | 12 | 13 | 6 | 31 | ||||||||
16 | Job 9 | 1 | 10 | 7 | 18 | 36 | |||||||
17 | Job3 | 17 | 7 | 24 | |||||||||
18 | (blank) | ||||||||||||
19 | Grand Total | 24 | 27 | 28 | 27 | 21 | 17 | 18 | 17 | 25 | 204 | ||
Sheet4 |