Pivot tables - Consildating payments into one

2

24parmar2

New Member
Joined
Feb 15, 2019
Messages
5
Hi everyone,

I'm new to this forum. I need some help with pivot tables:

I'm trying to consolidate payments Ids together, specifically payments which have the same ID but different payments need to be combines and totalled into one. I done a head-start with pivot tables.

I comparing and combining payments from two different tables. If i do a pivot table from each table (C1 and C2) separately it works but i need to match the ID together and calculate the difference as some payment id will be in both tables, this i don;t know how to do quickly or efficiently. This is small example so ID's in C1 don't appear in C2.

The alternative I tried, was using the data range of both tables but the payments ID from C2 would be appeared to be in different format. It has the - icon by it allowing you to expand or collapse that ID, why is it doing for some payments and not all. I am so confused in getting this to work.

Could some one please help me out.

[TABLE="width: 548"]
<colgroup><col><col><col><col></colgroup><tbody>[TR]
[TD]Payment ID (C1)[/TD]
[TD]Amount (C1)[/TD]
[TD]Payment ID (C2)[/TD]
[TD]Amount (C2)[/TD]
[/TR]
[TR]
[TD="align: right"]6041012759[/TD]
[TD="align: right"]34.3[/TD]
[TD="align: right"]604962185[/TD]
[TD="align: right"]39.165[/TD]
[/TR]
[TR]
[TD="align: right"]6041012764[/TD]
[TD="align: right"]146.3[/TD]
[TD="align: right"]604962185[/TD]
[TD="align: right"]239.9925[/TD]
[/TR]
[TR]
[TD="align: right"]6041012764[/TD]
[TD="align: right"]146.3[/TD]
[TD="align: right"]604962186[/TD]
[TD="align: right"]44.76[/TD]
[/TR]
[TR]
[TD="align: right"]6041012777[/TD]
[TD="align: right"]253.15[/TD]
[TD="align: right"]604962186[/TD]
[TD="align: right"]261.81[/TD]
[/TR]
[TR]
[TD="align: right"]6041012777[/TD]
[TD="align: right"]253.15[/TD]
[TD="align: right"]604963066[/TD]
[TD="align: right"]94.5425[/TD]
[/TR]
[TR]
[TD="align: right"]6041012778[/TD]
[TD="align: right"]253.15[/TD]
[TD="align: right"]604963066[/TD]
[TD="align: right"]241.7175[/TD]
[/TR]
[TR]
[TD="align: right"]6041012808[/TD]
[TD="align: right"]252.9[/TD]
[TD="align: right"]604963067[/TD]
[TD="align: right"]94.5425[/TD]
[/TR]
[TR]
[TD="align: right"]6041012809[/TD]
[TD="align: right"]258.74[/TD]
[TD="align: right"]604963067[/TD]
[TD="align: right"]196.3575[/TD]
[/TR]
[TR]
[TD="align: right"]6041012876[/TD]
[TD="align: right"]152.89[/TD]
[TD="align: right"]604963068[/TD]
[TD="align: right"]39.165[/TD]
[/TR]
[TR]
[TD="align: right"]6041012877[/TD]
[TD="align: right"]263.56[/TD]
[TD="align: right"]604963068[/TD]
[TD="align: right"]116.3825[/TD]
[/TR]
[TR]
[TD="align: right"]6041012877[/TD]
[TD="align: right"]328.35[/TD]
[TD="align: right"]604963068[/TD]
[TD="align: right"]145.45[/TD]
[/TR]
[TR]
[TD="align: right"]6041012878[/TD]
[TD="align: right"]258.74[/TD]
[TD="align: right"]604963070[/TD]
[TD="align: right"]42.51[/TD]
[/TR]
[TR]
[TD="align: right"]6041012879[/TD]
[TD="align: right"]142.96[/TD]
[TD="align: right"]604963070[/TD]
[TD="align: right"]127.53[/TD]
[/TR]
[TR]
[TD="align: right"]6041012880[/TD]
[TD="align: right"]252.93[/TD]
[TD="align: right"]604963070[/TD]
[TD="align: right"]141.7[/TD]
[/TR]
[TR]
[TD="align: right"]6041012881[/TD]
[TD="align: right"]146.3[/TD]
[TD="align: right"]604963683[/TD]
[TD="align: right"]184.21[/TD]
[/TR]
[TR]
[TD="align: right"]6041012881[/TD]
[TD="align: right"]146.3[/TD]
[TD="align: right"]604963684[/TD]
[TD="align: right"]14.17[/TD]
[/TR]
[TR]
[TD="align: right"]6041012882[/TD]
[TD="align: right"]73.15[/TD]
[TD="align: right"]604963684[/TD]
[TD="align: right"]69.76[/TD]
[/TR]
</tbody>[/TABLE]


Thank You
 

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is that what you want?
I added some rows from C1 to C2 with different values

[Table="width:, class:head"]
[tr=bgcolor:#FFFFFF][td=bgcolor:#5B9BD5]Payment ID (C1)[/td][td=bgcolor:#5B9BD5]Amount (C1)[/td][td][/td][td=bgcolor:#5B9BD5]Payment ID (C2)[/td][td=bgcolor:#5B9BD5]Amount (C2)[/td][td][/td][td=bgcolor:#70AD47]Payment ID (C1)[/td][td=bgcolor:#70AD47]Payment ID (C2)[/td][td=bgcolor:#70AD47]Subtraction[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]
6041012759​
[/td][td=bgcolor:#DDEBF7]
34.30​
[/td][td][/td][td=bgcolor:#DDEBF7]
604962185​
[/td][td=bgcolor:#DDEBF7]
39.17​
[/td][td][/td][td=bgcolor:#E2EFDA]6041012759[/td][td=bgcolor:#E2EFDA]6041012759[/td][td=bgcolor:#E2EFDA]
-142.7​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012764​
[/td][td]
146.30​
[/td][td][/td][td]
604962185​
[/td][td]
239.99​
[/td][td][/td][td]6041012764[/td][td]6041012764[/td][td]
-8457.4​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]
6041012764​
[/td][td=bgcolor:#DDEBF7]
146.30​
[/td][td][/td][td=bgcolor:#DDEBF7]
604962186​
[/td][td=bgcolor:#DDEBF7]
44.76​
[/td][td][/td][td=bgcolor:#E2EFDA]6041012777[/td][td=bgcolor:#E2EFDA]6041012777[/td][td=bgcolor:#E2EFDA]
-1765.7​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012777​
[/td][td]
253.15​
[/td][td][/td][td]
604962186​
[/td][td]
261.81​
[/td][td][/td][td]6041012879[/td][td]6041012879[/td][td]
-47.04​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]
6041012777​
[/td][td=bgcolor:#DDEBF7]
253.15​
[/td][td][/td][td=bgcolor:#DDEBF7]
604963066​
[/td][td=bgcolor:#DDEBF7]
94.54​
[/td][td][/td][td=bgcolor:#E2EFDA]6041012880[/td][td=bgcolor:#E2EFDA]6041012880[/td][td=bgcolor:#E2EFDA]
-3587.07​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012778​
[/td][td]
253.15​
[/td][td][/td][td]
604963066​
[/td][td]
241.72​
[/td][td][/td][td]6041012881[/td][td]6041012881[/td][td]
-2450.4​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]
6041012808​
[/td][td=bgcolor:#DDEBF7]
252.90​
[/td][td][/td][td=bgcolor:#DDEBF7]
604963067​
[/td][td=bgcolor:#DDEBF7]
94.54​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012809​
[/td][td]
258.74​
[/td][td][/td][td]
604963067​
[/td][td]
196.36​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]
6041012876​
[/td][td=bgcolor:#DDEBF7]
152.89​
[/td][td][/td][td=bgcolor:#DDEBF7]
604963068​
[/td][td=bgcolor:#DDEBF7]
39.17​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012877​
[/td][td]
263.56​
[/td][td][/td][td]
604963068​
[/td][td]
116.38​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]
6041012877​
[/td][td=bgcolor:#DDEBF7]
328.35​
[/td][td][/td][td=bgcolor:#DDEBF7]
604963068​
[/td][td=bgcolor:#DDEBF7]
145.45​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012878​
[/td][td]
258.74​
[/td][td][/td][td]
604963070​
[/td][td]
42.51​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]
6041012879​
[/td][td=bgcolor:#DDEBF7]
142.96​
[/td][td][/td][td=bgcolor:#DDEBF7]
604963070​
[/td][td=bgcolor:#DDEBF7]
127.53​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012880​
[/td][td]
252.93​
[/td][td][/td][td]
604963070​
[/td][td]
141.70​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]
6041012881​
[/td][td=bgcolor:#DDEBF7]
146.30​
[/td][td][/td][td=bgcolor:#DDEBF7]
604963683​
[/td][td=bgcolor:#DDEBF7]
184.21​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012881​
[/td][td]
146.30​
[/td][td][/td][td]
604963684​
[/td][td]
14.17​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]
6041012882​
[/td][td=bgcolor:#DDEBF7]
73.15​
[/td][td][/td][td=bgcolor:#DDEBF7]
604963684​
[/td][td=bgcolor:#DDEBF7]
69.76​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td][/td][td][/td][td][/td][td]
6041012879​
[/td][td]
190.00​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td][/td][td][/td][td][/td][td=bgcolor:#DDEBF7]
6041012880​
[/td][td=bgcolor:#DDEBF7]
3840.00​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td][/td][td][/td][td][/td][td]
6041012881​
[/td][td]
2743.00​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td][/td][td][/td][td][/td][td=bgcolor:#DDEBF7]
6041012759​
[/td][td=bgcolor:#DDEBF7]
177.00​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td][/td][td][/td][td][/td][td]
6041012764​
[/td][td]
3807.00​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td][/td][td][/td][td][/td][td=bgcolor:#DDEBF7]
6041012764​
[/td][td=bgcolor:#DDEBF7]
4943.00​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td][/td][td][/td][td][/td][td]
6041012777​
[/td][td]
2272.00​
[/td][td][/td][td][/td][td][/td][td][/td][/tr]
[/table]
result is with matched IDs only
 
Upvote 0
Hello,
Yes this is great. How did you match the two IDs together. As shown in the green table please. Thats the main part i'm stuck on with the pivot table.
Unless i'm missing something very simple.
 
Upvote 0
What is your Excel version?
If 2010/2013 - have you installed PowerQuery add-in?
 
Upvote 0
Office 16, what is power query does it do what you done for that green table. As i have an example with over 11k records. Some Id's match both tables. Ones which do, I need to do a comparison for different in amounts between those two.
 
Upvote 0
or if you want PivotTable

Alt+D+P

[Table="width:, class:head"]
[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]Sum of Value[/td][td=bgcolor:#DDEBF7]Column[/td][td=bgcolor:#DDEBF7][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]Row[/td][td=bgcolor:#DDEBF7]Amount (C1)[/td][td=bgcolor:#DDEBF7]Amount (C2)[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
604962185​
[/td][td][/td][td]
279.1575​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
604962186​
[/td][td][/td][td]
306.57​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
604963066​
[/td][td][/td][td]
336.26​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
604963067​
[/td][td][/td][td]
290.9​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
604963068​
[/td][td][/td][td]
300.9975​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
604963070​
[/td][td][/td][td]
311.74​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
604963683​
[/td][td][/td][td]
184.21​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
604963684​
[/td][td][/td][td]
83.93​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012759​
[/td][td]
34.3​
[/td][td]
177​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012764​
[/td][td]
292.6​
[/td][td]
8750​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012777​
[/td][td]
506.3​
[/td][td]
2272​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012778​
[/td][td]
253.15​
[/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012808​
[/td][td]
252.9​
[/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012809​
[/td][td]
258.74​
[/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012876​
[/td][td]
152.89​
[/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012877​
[/td][td]
591.91​
[/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012878​
[/td][td]
258.74​
[/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012879​
[/td][td]
142.96​
[/td][td]
190​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012880​
[/td][td]
252.93​
[/td][td]
3840​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012881​
[/td][td]
292.6​
[/td][td]
2743​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
6041012882​
[/td][td]
73.15​
[/td][td][/td][/tr]
[/table]
 
Upvote 0
So i've consolidated the replicated payments ID;s in two seperate table for table 1 and table 2. I need to match ID's which consist in both tables that i have no idea.
 
Upvote 0
did you read anything from links I gave you?

load both tables into PowerQuery via ribbon: Data - From Table
 
Upvote 0
Yes the but the two links don't give an explanation of how you got there. I've been playing around with Get and Transform and have gotten no luck. How did you achieve those results.
 
Upvote 0
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