SumIFS with criteria between dates

I

Ira Hopkins

New Member
Joined
Apr 8, 2019
Messages
25
Hoping someone can help. I am trying to match a name Column A for payments between 2 date ( Quarters- ie January 1st 2019- March 31st 2019) If the criteria match I need to know how many claims and the total payment for claims for that person in the quarter- There is generally more than one claim for that person in the quarter
I have tried =SUMIFS(DOWNLOAD!F:F,DOWNLOAD!A:A,A223,DOWNLOAD!D:D,"<=1/4/2019") but when I add another date it will not work
Really hoping someone can help
[TABLE="width: 503"]
<colgroup><col span="5"><col><col></colgroup><tbody>[TR]
[TD]name[/TD]
[TD]Loc[/TD]
[TD]Practice[/TD]
[TD]No of Claims[/TD]
[TD] £ [/TD]
[TD]Payment Date[/TD]
[TD]Total[/TD]
[/TR]
[TR]
[TD]john[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]31-Jan-19[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]dave[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]3[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]31-Jan-18[/TD]
[TD="align: right"]29.4[/TD]
[/TR]
[TR]
[TD]brian[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]31-Jan-17[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]tom[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]31-Jan-16[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]george[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]01-Feb-18[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]tom[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]4[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]31-Jan-18[/TD]
[TD="align: right"]39.2[/TD]
[/TR]
[TR]
[TD]george[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]28-Feb-18[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]dave[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]28-Feb-18[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]colin[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]2[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]01-Mar-18[/TD]
[TD="align: right"]19.6[/TD]
[/TR]
[TR]
[TD]bob[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]02-Mar-18[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]john[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]28-Feb-18[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]dave[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]28-Feb-19[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]brian[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]01-Mar-19[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]peter[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]02-Mar-19[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]tom[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]2[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]28-Feb-18[/TD]
[TD="align: right"]19.6[/TD]
[/TR]
[TR]
[TD]george[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]28-Feb-17[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]tom[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]01-Mar-17[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]george[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]2[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]28-Jun-18[/TD]
[TD="align: right"]19.6[/TD]
[/TR]
[TR]
[TD]john[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]29-Jun-18[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]dave[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]30-Jun-18[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]brian[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]28-Feb-18[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]colin[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]28-May-18[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]colin[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]28-Feb-16[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]brian[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]28-Feb-16[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]kyle[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]2[/TD]
[TD="align: right"]9.8[/TD]
[TD="align: right"]29-Feb-16[/TD]
[TD="align: right"]19.6[/TD]
[/TR]
[TR]
[TD]kyle[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD] 9.80 [/TD]
[TD="align: right"]01-Mar-16[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]tom[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD] 9.80 [/TD]
[TD="align: right"]31-May-18[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]george[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD] 9.80 [/TD]
[TD="align: right"]31-May-18[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]tom[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD] 9.80 [/TD]
[TD="align: right"]31-May-17[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]george[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]2[/TD]
[TD] 9.80 [/TD]
[TD="align: right"]31-May-18[/TD]
[TD="align: right"]19.6[/TD]
[/TR]
[TR]
[TD]john[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD] 9.80 [/TD]
[TD="align: right"]31-May-18[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]dave[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD] 9.80 [/TD]
[TD="align: right"]31-Jul-18[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]brian[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD] 9.80 [/TD]
[TD="align: right"]31-Jul-18[/TD]
[TD="align: right"]9.8[/TD]
[/TR]
[TR]
[TD]colin[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]2[/TD]
[TD] 10.03 [/TD]
[TD="align: right"]31-Aug-18[/TD]
[TD="align: right"]20.06[/TD]
[/TR]
[TR]
[TD]colin[/TD]
[TD="align: right"]67[/TD]
[TD="align: right"]56987[/TD]
[TD="align: right"]1[/TD]
[TD] 10.03 [/TD]
[TD="align: right"]31-Aug-18[/TD]
[TD="align: right"]10.03[/TD]
[/TR]
[TR]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD="align: right"]46[/TD]
[TD][/TD]
[TD][/TD]
[TD="align: right"]451.49[/TD]
[/TR]
</tbody>[/TABLE]
 

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According to your (unlabelled) data columns D would be number of claims, why would that be less than a date?

A is name
D is claims
F is date
G is payments

So that should be

Claims
=SUMIFS(DOWNLOAD!D:D,DOWNLOAD!A:A,A223,DOWNLOAD!F:F,"<="&DATEVALUE("31/3/2019"),DOWNLOAD!F:F,">="&DATEVALUE(1/1/2019"))

Payments
=SUMIFS(DOWNLOAD!G:G,DOWNLOAD!A:A,A223,DOWNLOAD!F:F,"<="&DATEVALUE("31/3/2019"),DOWNLOAD!F:F,">="&DATEVALUE(1/1/2019"))

and if you use a whole column, e.g. D:D you'll be including the totals too, so you'll need to change that.
 
Last edited:
Upvote 0
Special-K99 said:
According to your (unlabelled) data columns D would be number of claims, why would that be less than a date?

A is name
D is claims
F is date
G is payments

So that should be

Claims
=SUMIFS(DOWNLOAD!D:D,DOWNLOAD!A:A,A223,DOWNLOAD!F:F,"<="&DATEVALUE("31/3/2019"),DOWNLOAD!F:F,">="&DATEVALUE(1/1/2019"))

Payments
=SUMIFS(DOWNLOAD!G:G,DOWNLOAD!A:A,A223,DOWNLOAD!F:F,"<="&DATEVALUE("31/3/2019"),DOWNLOAD!F:F,">="&DATEVALUE(1/1/2019"))

and if you use a whole column, e.g. D:D you'll be including the totals too, so you'll need to change that.
Click to expand...

Hi Thank you so much for your help. I tried it but couldn't get it to work. I think it might be me not explaining myself and cant find how to attach an excel sheet to my query

What I am trying to do is on my "quarters" sheet look in my "download" sheet and look in column a for the name eg "John". Look at all the Johns in column A Downloads and if johns claims fall between eg 1/1/18 & 31/3/18 add up the number of claims. Thanks so much
 
Upvote 0
something like this?

[Table="width:, class:head"]
[tr=bgcolor:#FFFFFF][td=bgcolor:#70AD47]Quarter[/td][td=bgcolor:#70AD47]name[/td][td=bgcolor:#70AD47]Sum[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]bob[/td][td=bgcolor:#E2EFDA]
9.8​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
1​
[/td][td]colin[/td][td]
19.6​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]kyle[/td][td=bgcolor:#E2EFDA]
19.6​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
1​
[/td][td]peter[/td][td]
9.8​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]george[/td][td=bgcolor:#E2EFDA]
29.4​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
1​
[/td][td]dave[/td][td]
29.4​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]john[/td][td=bgcolor:#E2EFDA]
19.6​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
1​
[/td][td]tom[/td][td]
39.2​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]brian[/td][td=bgcolor:#E2EFDA]
39.2​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
2​
[/td][td]colin[/td][td]
9.8​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
2​
[/td][td=bgcolor:#E2EFDA]tom[/td][td=bgcolor:#E2EFDA]
19.6​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
2​
[/td][td]george[/td][td]
29.4​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
2​
[/td][td=bgcolor:#E2EFDA]john[/td][td=bgcolor:#E2EFDA]
19.6​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
2​
[/td][td]dave[/td][td]
9.8​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA]colin[/td][td=bgcolor:#E2EFDA]
20.06​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
3​
[/td][td]brian[/td][td]
9.8​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA]dave[/td][td=bgcolor:#E2EFDA]
9.8​
[/td][/tr]
[/table]

or

[Table="width:, class:head"]
[tr=bgcolor:#FFFFFF][td=bgcolor:#70AD47]Quarter[/td][td=bgcolor:#70AD47]name[/td][td=bgcolor:#70AD47]SumTotal[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]bob[/td][td=bgcolor:#E2EFDA]
9.8​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
1​
[/td][td]brian[/td][td]
39.2​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]colin[/td][td=bgcolor:#E2EFDA]
29.4​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
1​
[/td][td]dave[/td][td]
49​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]george[/td][td=bgcolor:#E2EFDA]
29.4​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
1​
[/td][td]john[/td][td]
19.6​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]kyle[/td][td=bgcolor:#E2EFDA]
29.4​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
1​
[/td][td]peter[/td][td]
9.8​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]tom[/td][td=bgcolor:#E2EFDA]
78.4​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
2​
[/td][td]colin[/td][td]
9.8​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
2​
[/td][td=bgcolor:#E2EFDA]dave[/td][td=bgcolor:#E2EFDA]
9.8​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
2​
[/td][td]george[/td][td]
49​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
2​
[/td][td=bgcolor:#E2EFDA]john[/td][td=bgcolor:#E2EFDA]
19.6​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
2​
[/td][td]tom[/td][td]
19.6​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA]brian[/td][td=bgcolor:#E2EFDA]
9.8​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]
3​
[/td][td]colin[/td][td]
30.09​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA]dave[/td][td=bgcolor:#E2EFDA]
9.8​
[/td][/tr]
[/table]
 
Last edited:
Upvote 0
Hi Again
Thanks again .... Table wise something like below.

Name Quarter 1 quarter 2 quarter 3
Bob 3 1 2
John 1 2 4

Its the number of claims I need to add up per person per quarter- I can do the sum of money on an end column as the items only go up with inflation so would change at the end of a quarter. The sum of money I can easily do once I know how many claims each person made per quarter

Thanks again
Tom
 
Upvote 0
like this?

[Table="width:, class:head"]
[tr=bgcolor:#FFFFFF][td=bgcolor:#70AD47]name[/td][td=bgcolor:#70AD47]1[/td][td=bgcolor:#70AD47]2[/td][td=bgcolor:#70AD47]3[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]bob[/td][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA][/td][td=bgcolor:#E2EFDA][/td][/tr]

[tr=bgcolor:#FFFFFF][td]brian[/td][td]
4​
[/td][td][/td][td]
1​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]colin[/td][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]
3​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]dave[/td][td]
5​
[/td][td]
1​
[/td][td]
1​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]george[/td][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA]
5​
[/td][td=bgcolor:#E2EFDA][/td][/tr]

[tr=bgcolor:#FFFFFF][td]john[/td][td]
2​
[/td][td]
2​
[/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]kyle[/td][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA][/td][td=bgcolor:#E2EFDA][/td][/tr]

[tr=bgcolor:#FFFFFF][td]peter[/td][td]
1​
[/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#E2EFDA]tom[/td][td=bgcolor:#E2EFDA]
8​
[/td][td=bgcolor:#E2EFDA]
2​
[/td][td=bgcolor:#E2EFDA][/td][/tr]
[/table]
 
Upvote 0
so...
use PowerQuery

Code: 
[SIZE=1]let
    Source = Excel.CurrentWorkbook(){[Name="Table8"]}[Content],
    TypeDate = Table.TransformColumnTypes(Source,{{"name", type text}, {"Loc", Int64.Type}, {"Practice", Int64.Type}, {"No of Claims", Int64.Type}, {"£", type number}, {"Payment Date", type date}, {"Total", type number}}),
    InsertQ = Table.AddColumn(TypeDate, "Quarter", each Date.QuarterOfYear([Payment Date]), Int64.Type),
    Group = Table.Group(InsertQ, {"name", "Quarter"}, {{"Claims", each List.Sum([No of Claims]), type number}}),
    Prefix = Table.TransformColumns(Group, {{"Quarter", each "Qtr " & Text.From(_, "en-GB"), type text}}),
    Pivot = Table.Pivot(Table.TransformColumnTypes(Prefix, {{"Quarter", type text}}, "en-GB"), List.Distinct(Table.TransformColumnTypes(Prefix, {{"Quarter", type text}}, "en-GB")[Quarter]), "Quarter", "Claims", List.Sum),
    Sort = Table.Sort(Pivot,{{"name", Order.Ascending}})
in
    Sort[/SIZE]

[Table="width:, class:head"]
[tr=bgcolor:#FFFFFF][td=bgcolor:#5B9BD5]name[/td][td=bgcolor:#5B9BD5]Loc[/td][td=bgcolor:#5B9BD5]Practice[/td][td=bgcolor:#5B9BD5]No of Claims[/td][td=bgcolor:#5B9BD5]L[/td][td=bgcolor:#5B9BD5]Payment Date[/td][td=bgcolor:#5B9BD5]Total[/td][td][/td][td=bgcolor:#70AD47]name[/td][td=bgcolor:#70AD47]Qtr 1[/td][td=bgcolor:#70AD47]Qtr 2[/td][td=bgcolor:#70AD47]Qtr 3[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]john[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
31-Jan-19​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td][/td][td=bgcolor:#E2EFDA]bob[/td][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA][/td][td=bgcolor:#E2EFDA][/td][/tr]

[tr=bgcolor:#FFFFFF][td]dave[/td][td]
67​
[/td][td]
56987​
[/td][td]
3​
[/td][td]
9.8​
[/td][td]
31-Jan-18​
[/td][td]
29.4​
[/td][td][/td][td]brian[/td][td]
4​
[/td][td][/td][td]
1​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]brian[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
31-Jan-17​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td][/td][td=bgcolor:#E2EFDA]colin[/td][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA]
1​
[/td][td=bgcolor:#E2EFDA]
3​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td]tom[/td][td]
67​
[/td][td]
56987​
[/td][td]
1​
[/td][td]
9.8​
[/td][td]
31-Jan-16​
[/td][td]
9.8​
[/td][td][/td][td]dave[/td][td]
5​
[/td][td]
1​
[/td][td]
1​
[/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]george[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
01-Feb-18​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td][/td][td=bgcolor:#E2EFDA]george[/td][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA]
5​
[/td][td=bgcolor:#E2EFDA][/td][/tr]

[tr=bgcolor:#FFFFFF][td]tom[/td][td]
67​
[/td][td]
56987​
[/td][td]
4​
[/td][td]
9.8​
[/td][td]
31-Jan-18​
[/td][td]
39.2​
[/td][td][/td][td]john[/td][td]
2​
[/td][td]
2​
[/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]george[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
28-Feb-18​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td][/td][td=bgcolor:#E2EFDA]kyle[/td][td=bgcolor:#E2EFDA]
3​
[/td][td=bgcolor:#E2EFDA][/td][td=bgcolor:#E2EFDA][/td][/tr]

[tr=bgcolor:#FFFFFF][td]dave[/td][td]
67​
[/td][td]
56987​
[/td][td]
1​
[/td][td]
9.8​
[/td][td]
28-Feb-18​
[/td][td]
9.8​
[/td][td][/td][td]peter[/td][td]
1​
[/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]colin[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
2​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
01-Mar-18​
[/td][td=bgcolor:#DDEBF7]
19.6​
[/td][td][/td][td=bgcolor:#E2EFDA]tom[/td][td=bgcolor:#E2EFDA]
8​
[/td][td=bgcolor:#E2EFDA]
2​
[/td][td=bgcolor:#E2EFDA][/td][/tr]

[tr=bgcolor:#FFFFFF][td]bob[/td][td]
67​
[/td][td]
56987​
[/td][td]
1​
[/td][td]
9.8​
[/td][td]
02-Mar-18​
[/td][td]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]john[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
28-Feb-18​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]dave[/td][td]
67​
[/td][td]
56987​
[/td][td]
1​
[/td][td]
9.8​
[/td][td]
28-Feb-19​
[/td][td]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]brian[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
01-Mar-19​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]peter[/td][td]
67​
[/td][td]
56987​
[/td][td]
1​
[/td][td]
9.8​
[/td][td]
02-Mar-19​
[/td][td]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]tom[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
2​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
28-Feb-18​
[/td][td=bgcolor:#DDEBF7]
19.6​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]george[/td][td]
67​
[/td][td]
56987​
[/td][td]
1​
[/td][td]
9.8​
[/td][td]
28-Feb-17​
[/td][td]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]tom[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
01-Mar-17​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]george[/td][td]
67​
[/td][td]
56987​
[/td][td]
2​
[/td][td]
9.8​
[/td][td]
28-Jun-18​
[/td][td]
19.6​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]john[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
29-Jun-18​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]dave[/td][td]
67​
[/td][td]
56987​
[/td][td]
1​
[/td][td]
9.8​
[/td][td]
30-Jun-18​
[/td][td]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]brian[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
28-Feb-18​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]colin[/td][td]
67​
[/td][td]
56987​
[/td][td]
1​
[/td][td]
9.8​
[/td][td]
28-May-18​
[/td][td]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]colin[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
28-Feb-16​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]brian[/td][td]
67​
[/td][td]
56987​
[/td][td]
1​
[/td][td]
9.8​
[/td][td]
28-Feb-16​
[/td][td]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]kyle[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
2​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
29-Feb-16​
[/td][td=bgcolor:#DDEBF7]
19.6​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]kyle[/td][td]
67​
[/td][td]
56987​
[/td][td]
1​
[/td][td]
9.8​
[/td][td]
01-Mar-16​
[/td][td]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]tom[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
31-May-18​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]george[/td][td]
67​
[/td][td]
56987​
[/td][td]
1​
[/td][td]
9.8​
[/td][td]
31-May-18​
[/td][td]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]tom[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
31-May-17​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]george[/td][td]
67​
[/td][td]
56987​
[/td][td]
2​
[/td][td]
9.8​
[/td][td]
31-May-18​
[/td][td]
19.6​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]john[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
31-May-18​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]dave[/td][td]
67​
[/td][td]
56987​
[/td][td]
1​
[/td][td]
9.8​
[/td][td]
31-Jul-18​
[/td][td]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]brian[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td=bgcolor:#DDEBF7]
31-Jul-18​
[/td][td=bgcolor:#DDEBF7]
9.8​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td]colin[/td][td]
67​
[/td][td]
56987​
[/td][td]
2​
[/td][td]
10.03​
[/td][td]
31-Aug-18​
[/td][td]
20.06​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]

[tr=bgcolor:#FFFFFF][td=bgcolor:#DDEBF7]colin[/td][td=bgcolor:#DDEBF7]
67​
[/td][td=bgcolor:#DDEBF7]
56987​
[/td][td=bgcolor:#DDEBF7]
1​
[/td][td=bgcolor:#DDEBF7]
10.03​
[/td][td=bgcolor:#DDEBF7]
31-Aug-18​
[/td][td=bgcolor:#DDEBF7]
10.03​
[/td][td][/td][td][/td][td][/td][td][/td][td][/td][/tr]
[/table]
 
Upvote 0
Im not familiar with power query sorry. Will try and learn though. In the meantime is there a formula that i could use? I really do appreciatte your help. Thankyou so much
 
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