Identifying the difference between two data sets

R

rrmando18

New Member
Joined
Sep 13, 2022
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12
Office Version
  1. 365
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  1. Windows
Happy Tuesday party people. I need help comparing two data sets to identify what is causing the difference by date, employee ID#, and WO#. I don't know if I can do this in Excel or if I need to use Power BI or something else. The two tables below show how I am receiving the data. Not sure if I need to change any of the formatting or add a helper column or something. The info below is for one job only, but we have lots of jobs that I need to do this with. There can also be multiple WO#s under one job.

Table1 is the one I need to match to. The difference can go either way. Sometimes Table 1 totals are higher and something they're lower.

In the example below, Table1 shows a total of $48,067.78 and 369.75 hours.

Table2 shows $45,114.59 and 349.75 hours.

How the heck do I go about finding what is causing the difference? Some of these tables can be very long with lots of employees and lots of WO#s.


Table1:
Timesheet Date in column A is a custom mm-dd-yyyy format.
Column B "PID" is the employee ID#, but the employee ID# are the 5 digits between ES and NTR.


Table2:
The Per Diem row can be ignored. That's how I'm receiving the data.

Thank you!


Table1.xlsx
ABCDE
1Timesheet DatePIDNet HoursTotal CostWO#
202-Jul-2024ES40214NTR4520.56938161-045
303-Jul-2024ES40214NTR101,301.40938161-045
408-Jul-2024ES38057NTR101,236.90938161-045
508-Jul-2024ES40214NTR101,301.40938161-045
608-Jul-2024ES38615NTR9.751,372.70938161-045
709-Jul-2024ES38057NTR101,236.90938161-045
809-Jul-2024ES40214NTR101,301.40938161-045
909-Jul-2024ES38615NTR101,407.90938161-045
1010-Jul-2024ES38057NTR9.751,205.98938161-045
1110-Jul-2024ES40214NTR101,301.40938161-045
1211-Jul-2024ES38057NTR101,236.90938161-045
1311-Jul-2024ES40214NTR101,301.40938161-045
1412-Jul-2024ES38057NTR0-938161-045
1512-Jul-2024ES40214NTR0-938161-045
1613-Jul-2024ES38057NTR0-938161-045
1713-Jul-2024ES40214NTR0-938161-045
1814-Jul-2024ES38057NTR0-938161-045
1914-Jul-2024ES40214NTR0-938161-045
2015-Jul-2024ES38057NTR101,236.90938161-045
2115-Jul-2024ES40214NTR91,171.26938161-045
2215-Jul-2024ES38615NTR101,407.90938161-045
2316-Jul-2024ES38057NTR101,236.90938161-045
2416-Jul-2024ES40214NTR101,301.40938161-045
2516-Jul-2024ES38615NTR101,407.90938161-045
2617-Jul-2024ES38057NTR101,236.90938161-045
2717-Jul-2024ES40214NTR101,301.40938161-045
2817-Jul-2024ES38615NTR101,407.90938161-045
2918-Jul-2024ES38057NTR101,236.90938161-045
3018-Jul-2024ES40214NTR101,301.40938161-045
3118-Jul-2024ES38615NTR101,407.90938161-045
3219-Jul-2024ES38057NTR0-938161-045
3319-Jul-2024ES40214NTR0-938161-045
3420-Jul-2024ES38057NTR0-938161-045
3520-Jul-2024ES40214NTR0-938161-045
3621-Jul-2024ES38057NTR0-938161-045
3721-Jul-2024ES40214NTR0-938161-045
3822-Jul-2024ES38057NTR101,236.90938161-045
3922-Jul-2024ES40214NTR101,301.40938161-045
4022-Jul-2024ES38615NTR101,407.90938161-045
4123-Jul-2024ES38057NTR101,236.90938161-045
4223-Jul-2024ES40214NTR101,301.40938161-045
4324-Jul-2024ES38057NTR101,236.90938161-045
4424-Jul-2024ES40214NTR81,041.12938161-045
4525-Jul-2024ES38057NTR101,236.90938161-045
4626-Jul-2024ES38057NTR0-938161-045
4727-Jul-2024ES38057NTR0-938161-045
4828-Jul-2024ES38057NTR0-938161-045
4929-Jul-2024ES40214NTR101,301.40938161-045
5029-Jul-2024ES38615NTR9.751,372.70938161-045
5130-Jul-2024ES38057NTR9.51,175.06938161-045
5230-Jul-2024ES40214NTR101,301.40938161-045
5331-Jul-2024ES38057NTR101,236.90938161-045
5431-Jul-2024ES40214NTR101,301.40938161-045
55369.7548,067.78
Sheet2
Cell Formulas
RangeFormula
C55:D55C55=SUM(C2:C54)




Table2.xlsx
ABCDEFGHIJKLM
1Calculated Totals:349.7500349.7545,114.59--45,114.59
2
3EmployeePostDateJobSTHoursOTHoursDTHours TTHours OtherHoursPerDiemSTRateOTRateDTRateWO#
4380577/8/2024240075000-0150120.48152.37191.271
5380577/8/2024240075100010.0000120.48152.37191.27 938161-045
6380577/9/2024240075000-0150120.48152.37191.271
7380577/9/2024240075100010.0000120.48152.37191.27 938161-045
8380577/10/2024240075000-0150120.48152.37191.271
9380577/10/20242400759.75009.7500120.48152.37191.27 938161-045
10380577/11/2024240075000-0150120.48152.37191.271
11380577/11/2024240075100010.0000120.48152.37191.27 938161-045
12380577/12/2024240075000-0150120.48152.37191.271
13380577/13/2024240075000-0150120.48152.37191.271
14380577/14/2024240075000-0150120.48152.37191.271
15380577/15/2024240075000-0150120.48152.37191.271
16380577/15/2024240075100010.0000120.48152.37191.27 938161-045
17380577/16/2024240075000-0150120.48152.37191.271
18380577/16/2024240075100010.0000120.48152.37191.27 938161-045
19380577/17/2024240075000-0150120.48152.37191.271
20380577/17/2024240075100010.0000120.48152.37191.27 938161-045
21380577/18/2024240075000-0150120.48152.37191.271
22380577/18/2024240075100010.0000120.48152.37191.27 938161-045
23380577/19/2024240075000-0150120.48152.37191.271
24380577/20/2024240075000-0150120.48152.37191.271
25380577/21/2024240075000-0150120.48152.37191.271
26380577/22/2024240075000-0150120.48152.37191.271
27380577/22/2024240075100010.0000120.48152.37191.27 938161-045
28380577/23/2024240075000-0150120.48152.37191.271
29380577/23/2024240075100010.0000120.48152.37191.27 938161-045
30380577/24/2024240075000-0150120.48152.37191.271
31380577/24/2024240075100010.0000120.48152.37191.27 938161-045
32380577/25/2024240075000-0150120.48152.37191.271
33380577/25/2024240075100010.0000120.48152.37191.27 938161-045
34380577/26/2024240075000-0150120.48152.37191.271
35380577/27/2024240075000-0150120.48152.37191.271
36380577/28/2024240075000-0150120.48152.37191.271
37380577/29/2024240075000-0150120.48152.37191.271
38380577/30/2024240075000-0150120.48152.37191.271
39380577/30/20242400759.5009.5000120.48152.37191.27 938161-045
40386157/8/20242400759.75009.7500140.79177.91223.21 938161-045
41386157/9/2024240075100010.0000140.79177.91223.21 938161-045
42386157/15/2024240075100010.0000140.79177.91223.21 938161-045
43386157/16/2024240075100010.0000140.79177.91223.21 938161-045
44386157/17/2024240075100010.0000140.79177.91223.21 938161-045
45386157/18/2024240075100010.0000140.79177.91223.21 938161-045
46386157/22/2024240075100010.0000140.79177.91223.21 938161-045
47386157/29/20242400759.75009.7500140.79177.91223.21 938161-045
48402147/2/2024240075000-0165130.14164.52206.461
49402147/2/20242400754004.0000130.14164.52206.46 938161-045
50402147/3/2024240075000-0165130.14164.52206.461
51402147/3/2024240075100010.0000130.14164.52206.46 938161-045
52402147/4/2024240075000-0165130.14164.52206.461
53402147/8/2024240075000-0165130.14164.52206.461
54402147/8/2024240075100010.0000130.14164.52206.46 938161-045
55402147/9/2024240075000-0165130.14164.52206.461
56402147/9/2024240075100010.0000130.14164.52206.46 938161-045
57402147/10/2024240075000-0165130.14164.52206.461
58402147/10/2024240075100010.0000130.14164.52206.46 938161-045
59402147/11/2024240075000-0165130.14164.52206.461
60402147/11/2024240075100010.0000130.14164.52206.46 938161-045
61402147/12/2024240075000-0165130.14164.52206.461
62402147/13/2024240075000-0165130.14164.52206.461
63402147/14/2024240075000-0165130.14164.52206.461
64402147/15/2024240075000-0165130.14164.52206.461
65402147/15/20242400759009.0000130.14164.52206.46 938161-045
66402147/16/2024240075000-0165130.14164.52206.461
67402147/16/2024240075100010.0000130.14164.52206.46 938161-045
68402147/17/2024240075000-0165130.14164.52206.461
69402147/17/2024240075100010.0000130.14164.52206.46 938161-045
70402147/18/2024240075000-0165130.14164.52206.461
71402147/18/2024240075100010.0000130.14164.52206.46 938161-045
72402147/19/2024240075000-0165130.14164.52206.461
73402147/20/2024240075000-0165130.14164.52206.461
74402147/21/2024240075000-0165130.14164.52206.461
75402147/22/2024240075000-0165130.14164.52206.461
76402147/22/2024240075100010.0000130.14164.52206.46 938161-045
77402147/23/2024240075000-0165130.14164.52206.461
78402147/23/2024240075100010.0000130.14164.52206.46 938161-045
79402147/24/2024240075000-0165130.14164.52206.461
80402147/24/20242400758008.0000130.14164.52206.46 938161-045
81402147/25/2024240075000-0165130.14164.52206.461
82402147/26/2024240075000-0165130.14164.52206.461
83402147/27/2024240075000-0165130.14164.52206.461
84402147/28/2024240075000-0165130.14164.52206.461
85402147/29/2024240075000-0165130.14164.52206.461
86402147/29/2024240075100010.0000130.14164.52206.46 938161-045
87402147/30/2024240075000-0165130.14164.52206.461
88402147/30/2024240075100010.0000130.14164.52206.46 938161-045
Sheet1
Cell Formulas
RangeFormula
D1:G1D1=SUM(D4:D88)
J1:L1J1=SUMPRODUCT(D4:D88,J4:J88)
M1M1=SUM(J1:L1)
 

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Just by eyeballing it, the hours are easy, the totals not so much. If you sort by employee, then by date, you can see that 7/31/2024 did not post for employees (38057 & 40214), and that is your 20 hours. I cannot however come up with a matching dollar by trying to add those hours and the employee rates.

Not a solution to you question, just an observation.
 
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