Posts by Rmrekoj

hi Sir,
how to use that function which you have provided

[TABLE="border: 0, cellpadding: 0, cellspacing: 0, width: 1274, height: 158"]

[tr]

[td]

S.No

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[td]

Code ID

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[td]

Time

[/td]

[td]

Case

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[td]

Result

[/td]

[td]

Formula

[/td]

[/tr]

[tr]

[td]

1

[/td]

[td]

181116010630001P

[/td]

[td]

6:30

[/td]

[td]

abc

[/td]

[td]

Night In

[/td]

[td]

IF(AND(SplitText(B2,FALSE)="P",OR(AND(C2>=(21/24),C2<=(25/24)),AND(C2>=(0/24),C2<=(7/24)))),"Night In",

[/td]

[/tr]

[tr]

[td]

2

[/td]

[td]

181116010630001D

[/td]

[td]

6:30

[/td]

[td]

cde

[/td]

[td]

Night out

[/td]

[td]

IF(AND(SplitText(B2,FALSE)="D",OR(AND(C2>=(0/24),C2<=(7/24)),AND(C2>=(20/24),C2<=(40/24)))),"Night out",

[/td]

[/tr]

[tr]

[td]

3

[/td]

[td]

181116010630001PA

[/td]

[td]

6:30

[/td]

[td]

mbc

[/td]

[td]

Case In

[/td]

[td]

IF(SplitText(B2,FALSE)="PA","Case In",

[/td]

[/tr]

[tr]

[td]

4

[/td]

[td]

181116010630001DA

[/td]

[td]

6:30

[/td]

[td]

abc

[/td]

[td]

Case Out

[/td]

[td]

IF(SplitText(B2,FALSE)="DA","Case Out",

[/td]

[/tr]

[tr]

[td]

5

[/td]

[td]

181116010630001P

[/td]

[td]

6:30

[/td]

[td]

cbcsplc

[/td]

[td]

On Demand In

[/td]

[td]

IF(AND(SplitText(B2,FALSE)="P",COUNTIF(D2,"*spl*")>0),"On Demand In",

[/td]

[/tr]

[tr]

[td]

6

[/td]

[td]

181116010630001D

[/td]

[td]

6:30

[/td]

[td]

abcspld

[/td]

[td]

On Demand out

[/td]

[td]

IF(AND(SplitText(B2,FALSE)="D",COUNTIF(D2,"*spl*")>0),"On Demand out",

[/td]

[/tr]

[tr]

[td]

7

[/td]

[td]

181116010630001P

[/td]

[td]

15:30

[/td]

[td]

abc

[/td]

[td]

Morning In

[/td]

[td]

IF(AND(SplitText(B2,FALSE)="P",OR(AND(C2>=(7.5/24),C2<=(19.5/24)))),"Morning In",

[/td]

[/tr]

[tr]

[td]

8

[/td]

[td]

181116010630001D

[/td]

[td]

18:30

[/td]

[td]

abc

[/td]

[td]

Morning Out

[/td]

[td]

IF(AND(SplitText(B2,FALSE)="D",OR(AND(C2>(14/24),C2<=(19.5/24)))),"Morning Out",

[/td]

[/tr]

[/TABLE]

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]

Hi Sir,

sorry to make it complicated , plz find new one here with specified result above...

=IF(AND(SplitText(B2,FALSE)="D",COUNTIF(D2,"*spl*")>0),"On Demand out",
IF(AND(SplitText(B2,FALSE)="P",COUNTIF(D2,"*spl*")>0),"On Demand In",
IF(AND(SplitText(B2,FALSE)="D",OR(AND(C2>=(0/24),C2<=(7/24)),AND(C2>=(20/24),C2<=(40/24)))),"Night out",
IF(AND(SplitText(B2,FALSE)="P",OR(AND(C2>=(21/24),C2<=(25/24)),AND(C2>=(0/24),C2<=(7/24)))),"Night In",
IF(AND(SplitText(B2,FALSE)="D",OR(AND(C2>(14/24),C2<=(19.5/24)))),"Morning Out",
IF(AND(SplitText(B2,FALSE)="P",OR(AND(C2>=(7.5/24),C2<=(19.5/24)))),"Morning In",
IF(SplitText(B2,FALSE)="DA","Case Out",
IF(SplitText(B2,FALSE)="PA","Case In",
"Error"))))))))

inside model 1 is...

Public Function SplitText(pWorkRng As Range, pIsNumber As Boolean) As String
Dim xLen As Long
Dim xStr As String
xLen = VBA.Len(pWorkRng.Value)
For i = 1 To xLen
xStr = VBA.Mid(pWorkRng.Value, i, 1)
If ((VBA.IsNumeric(xStr) And pIsNumber) Or (Not (VBA.IsNumeric(xStr)) And Not (pIsNumber))) Then
SplitText = SplitText + xStr
End If
Next
End Function

plz let me know if still there is confusion..

Hi Team,

request you to if there is any function in your mind or macro to solve the below rather than getting hang excel every time ...

I have 5000+ rows to validate the below formula due to which its taking too much time and sometime excel get hanged.. [TABLE="border: 0, cellpadding: 0, cellspacing: 0, width: 395"]

[tr]

[td]

S.No

[/td]

[td]

Code ID

[/td]

[td]

Time

[/td]

[td]

Case

[/td]

[td]

Result

[/td]

[/tr]

[tr]

[td]

1

[/td]

[td]

1234567890P

[/td]

[td]

10:30

[/td]

[td]

abcde

[/td]

[td]

Morning In

[/td]

[/tr]

[tr]

[td]

2

[/td]

[td]

1234567890P

[/td]

[td]

5:30

[/td]

[td]

abspl

[/td]

[td]

On Demand In

[/td]

[/tr]

[/TABLE]
Result come from below formula...

=IF(AND(SplitText(B2,FALSE)="D",COUNTIF(D2,"*spl*")>0),"On Demand out",IF(AND(SplitText(B2,FALSE)="P",COUNTIF(D2,"*spl*")>0),"On Demand In",IF(AND(SplitText(B2,FALSE)="D",OR(AND(C2>=(0/24),C2<=(7/24)),AND(C2>=(20/24),C2<=(40/24)))),"Night out",IF(AND(SplitText(B2,FALSE)="P",OR(AND(C2>=(21/24),C2<=(25/24)),AND(C2>=(0/24),C2<=(7/24)))),"Night In",IF(AND(SplitText(B2,FALSE)="D",OR(AND(C2>(14/24),C2<=(19.5/24)))),"Morning Out",IF(AND(SplitText(B2,FALSE)="P",OR(AND(C2>=(7.5/24),C2<=(19.5/24)))),"Morning In",IF(SplitText(B2,FALSE)="DA","Case Out",IF(SplitText(B2,FALSE)="PA","Case In","Error"))))))))

above if condition after paste till 5000+ rows each time ...

plz help .. Thanks ...

and for split text I have a function which got me on our forum..

#######

Public Function SplitText(pWorkRng As Range, pIsNumber As Boolean) As String
Dim xLen As Long
Dim xStr As String
xLen = VBA.Len(pWorkRng.Value)
For i = 1 To xLen
xStr = VBA.Mid(pWorkRng.Value, i, 1)
If ((VBA.IsNumeric(xStr) And pIsNumber) Or (Not (VBA.IsNumeric(xStr)) And Not (pIsNumber))) Then
SplitText = SplitText + xStr
End If
Next
End Function

Hi Mayunho,

find the below for your reference...

=SUM(OFFSET(GMV!$E$1,0,(COLUMN()-1)*4):OFFSET(GMV!$E$11,0,(COLUMN()-1)*4))

paste in your first column "A" and then press the Enter key

Then drag it ...

if your formula column is not first "A" and minus the before column count from where you paste.

into the below Demo smilie less columncount

=SUM(OFFSET(GMV!$E$1,0,(COLUMN()-:hyper2:)*4):OFFSET(GMV!$E$11,0,(COLUMN()-1)*:hyper2:))

say Thanks if its work for you...

Thanks so much Mumps

[FONT="Times New Roman"]its working fine....[/FONT]

Hi Team,

I have a form which some data and I need to use sql as database for that form.. mean every submit entry goes to sql data base ... is there any way to do that???

data will be like

name/ DOB/ User ID, / Address/ Contact details..... .. .like personal details..

Thanks

Data before filter

[TABLE="border: 0, cellpadding: 0, cellspacing: 0, width: 519"]

[tr]

[TD="align: left"]Date[/TD]
[TD="align: left"]Data1[/TD]
[TD="align: left"]Data2[/TD]
[TD="align: left"]Criteria1[/TD]
[TD="align: left"]Criteria2[/TD]
[TD="align: left"]Criteria3[/TD]
[TD="align: left"]Criteria4[/TD]
[TD="align: left"]Criteria5[/TD]

[/tr]

[tr]

[TD="align: right"]12/1/2018[/TD]
[TD="align: left"]D3[/TD]
[TD="align: left"]D8[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/2/2018[/TD]
[TD="align: left"]D5[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]

[/tr]

[tr]

[TD="align: right"]12/3/2018[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]D4[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/4/2018[/TD]
[TD="align: left"]D7[/TD]
[TD="align: left"]D6[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/5/2018[/TD]
[TD="align: left"]D2[/TD]
[TD="align: left"]D2[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/6/2018[/TD]
[TD="align: left"]D5[/TD]
[TD="align: left"]D3[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/7/2018[/TD]
[TD="align: left"]D2[/TD]
[TD="align: left"]D4[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/8/2018[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]D4[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/9/2018[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]D3[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/10/2018[/TD]
[TD="align: left"]D2[/TD]
[TD="align: left"]D5[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/11/2018[/TD]
[TD="align: left"]D6[/TD]
[TD="align: left"]D5[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/12/2018[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]D2[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/13/2018[/TD]
[TD="align: left"]D3[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/14/2018[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]D5[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/15/2018[/TD]
[TD="align: left"]D7[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/16/2018[/TD]
[TD="align: left"]D8[/TD]
[TD="align: left"]D7[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/17/2018[/TD]
[TD="align: left"]D5[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/18/2018[/TD]
[TD="align: left"]D10[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/19/2018[/TD]
[TD="align: left"]D7[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/20/2018[/TD]
[TD="align: left"]D8[/TD]
[TD="align: left"]D8[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/21/2018[/TD]
[TD="align: left"]D6[/TD]
[TD="align: left"]D5[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]

[/tr]

[tr]

[TD="align: right"]12/22/2018[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/23/2018[/TD]
[TD="align: left"]D7[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/24/2018[/TD]
[TD="align: left"]D5[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/25/2018[/TD]
[TD="align: left"]D4[/TD]
[TD="align: left"]D8[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/26/2018[/TD]
[TD="align: left"]D7[/TD]
[TD="align: left"]D7[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/27/2018[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]D3[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/28/2018[/TD]
[TD="align: left"]D5[/TD]
[TD="align: left"]D3[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]n[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/29/2018[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/30/2018[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]D6[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/31/2018[/TD]
[TD="align: left"]D3[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[/TABLE]

Data After filtered with criteria and date 1 to 15 selected...
[TABLE="border: 0, cellpadding: 0, cellspacing: 0, width: 519"]

[tr]

[TD="align: left"]Date[/TD]
[TD="align: left"]Data1[/TD]
[TD="align: left"]Data2[/TD]
[TD="align: left"]Criteria1[/TD]
[TD="align: left"]Criteria2[/TD]
[TD="align: left"]Criteria3[/TD]
[TD="align: left"]Criteria4[/TD]
[TD="align: left"]Criteria5[/TD]

[/tr]

[tr]

[TD="align: right"]12/1/2018[/TD]
[TD="align: left"]D3[/TD]
[TD="align: left"]D8[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/6/2018[/TD]
[TD="align: left"]D5[/TD]
[TD="align: left"]D3[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/8/2018[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]D4[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/9/2018[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]D3[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/12/2018[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]D2[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/13/2018[/TD]
[TD="align: left"]D3[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/14/2018[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]D5[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/15/2018[/TD]
[TD="align: left"]D7[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[/TABLE]

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]

Data After filtered with criteria and date 16 to 31 selected...

[TABLE="border: 0, cellpadding: 0, cellspacing: 0, width: 519"]

[tr]

[TD="align: left"]Date[/TD]
[TD="align: left"]Data1[/TD]
[TD="align: left"]Data2[/TD]
[TD="align: left"]Criteria1[/TD]
[TD="align: left"]Criteria2[/TD]
[TD="align: left"]Criteria3[/TD]
[TD="align: left"]Criteria4[/TD]
[TD="align: left"]Criteria5[/TD]

[/tr]

[tr]

[TD="align: right"]12/17/2018[/TD]
[TD="align: left"]D5[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/18/2018[/TD]
[TD="align: left"]D10[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/23/2018[/TD]
[TD="align: left"]D7[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/26/2018[/TD]
[TD="align: left"]D7[/TD]
[TD="align: left"]D7[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/29/2018[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/30/2018[/TD]
[TD="align: left"]D1[/TD]
[TD="align: left"]D6[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[tr]

[TD="align: right"]12/31/2018[/TD]
[TD="align: left"]D3[/TD]
[TD="align: left"]D9[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]
[TD="align: left"]ok[/TD]

[/tr]

[/TABLE]

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]

and the result I want which is ...

[TABLE="border: 0, cellpadding: 0, cellspacing: 0, width: 288"]

[tr]

[TD="width: 64, bgcolor: transparent"] [/TD]
[TD="width: 64, bgcolor: yellow"]1 To 15[/TD]
[TD="width: 64, bgcolor: transparent"] [/TD]
[TD="width: 64, bgcolor: transparent"] [/TD]
[TD="width: 64, bgcolor: yellow"]16 to 31[/TD]
[TD="width: 64, bgcolor: transparent"] [/TD]

[/tr]

[tr]

[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"] [/TD]

[/tr]

[tr]

[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"] [/TD]

[/tr]

[tr]

[TD="bgcolor: transparent"]D1[/TD]
[TD="bgcolor: transparent"]2[/TD]
[TD="bgcolor: transparent"]2[/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"]1[/TD]
[TD="bgcolor: transparent"]3[/TD]

[/tr]

[tr]

[TD="bgcolor: transparent"]D2[/TD]
[TD="bgcolor: transparent"]0[/TD]
[TD="bgcolor: transparent"]1[/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"]0[/TD]
[TD="bgcolor: transparent"]0[/TD]

[/tr]

[tr]

[TD="bgcolor: transparent"]D3[/TD]
[TD="bgcolor: transparent"]2[/TD]
[TD="bgcolor: transparent"]2[/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"]1[/TD]
[TD="bgcolor: transparent"]0[/TD]

[/tr]

[tr]

[TD="bgcolor: transparent"]D4[/TD]
[TD="bgcolor: transparent"]0[/TD]
[TD="bgcolor: transparent"]1[/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"]0[/TD]
[TD="bgcolor: transparent"]0[/TD]

[/tr]

[tr]

[TD="bgcolor: transparent"]D5[/TD]
[TD="bgcolor: transparent"]1[/TD]
[TD="bgcolor: transparent"]1[/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"]1[/TD]
[TD="bgcolor: transparent"]0[/TD]

[/tr]

[tr]

[TD="bgcolor: transparent"]D6[/TD]
[TD="bgcolor: transparent"]0[/TD]
[TD="bgcolor: transparent"]0[/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"]0[/TD]
[TD="bgcolor: transparent"]1[/TD]

[/tr]

[tr]

[TD="bgcolor: transparent"]D7[/TD]
[TD="bgcolor: transparent"]1[/TD]
[TD="bgcolor: transparent"]0[/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"]2[/TD]
[TD="bgcolor: transparent"]1[/TD]

[/tr]

[tr]

[TD="bgcolor: transparent"]D8[/TD]
[TD="bgcolor: transparent"]0[/TD]
[TD="bgcolor: transparent"]1[/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"]0[/TD]
[TD="bgcolor: transparent"]0[/TD]

[/tr]

[tr]

[TD="bgcolor: transparent"]D9[/TD]
[TD="bgcolor: transparent"]2[/TD]
[TD="bgcolor: transparent"]0[/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"]1[/TD]
[TD="bgcolor: transparent"]2[/TD]

[/tr]

[tr]

[TD="bgcolor: transparent"]D10[/TD]
[TD="bgcolor: transparent"]0[/TD]
[TD="bgcolor: transparent"]0[/TD]
[TD="bgcolor: transparent"] [/TD]
[TD="bgcolor: transparent"]1[/TD]
[TD="bgcolor: transparent"]0[/TD]

[/tr]

[/TABLE]

Hi team,

this is working in excel. I want to use this in VBA plz help

=SUMPRODUCT(SUBTOTAL(3,OFFSET(B2:B50,ROW(B2:B50)-MIN(ROW(B2:B50)),,1))*(B2:B50="A1"))

Thanks

as macro by Mr. graha_karya ... he has given me the actual result but m still confuse if the data is filter then also giving same results,but whatever I learnt so much with this....all has been worked with Maths logic

awesome sir , 110% accurate which was wanted result thanks you so much ...

Really thanks

HI team,

do u know how to add this in vba

Hi team,

this is working in excel how to use in vba

=SUMPRODUCT(SUBTOTAL(3,OFFSET(B2:B50,ROW(B2:B50)-MIN(ROW(B2:B50)),,1))*(B2:B50="A1"))

Thanks

Hi Team

Hello Boss ( Carim),

I work on your macros I found the below solution on that but still its not completed...
can you push to the mark...

Option Explicit

Sub TestDic()
Dim rng As Range, c As Range, dic As Object
Dim i As Integer
Dim j As Integer

Set rng = Sheet1.Range("B2:C11")
Set dic = CreateObject("scripting.dictionary")

For Each c In rng
dic(c.Value) = c.Value
Next c

With Sheet2
.Cells(1).Resize(1, 3).Value = array("Unique", "Col1", "Col2")
.Range("A2").Resize(dic.Count) = Application.Transpose(dic.Keys)
For j = 2 To rng.Columns.Count + 1
For i = 2 To dic.Count + 1
.Cells(i, j).Formula = "=countifs(" & "Sheet1!" & rng.Columns(j - 1).Address & "," & .Cells(i, 1).Address & "," & "Sheet1!" & rng.Columns(0).Address & "," & j - 1

.Cells(i, j).Value = .Cells(i, j).Value
Next i
Next j
End With
End Sub

Result showing good but not working in filter mode , bcoz above chart filtered with criteria and want to work in filter...

thanks

Hi Team,

Data is like ....date column will be filtered many criteria I have done work on that I just wanted to work after special cells

this is filtered data with some criteria and visible like below
[TABLE="class: text_table, width: 164"]

[tr]

[td]

Date

[/td]

[td]

Data1

[/td]

[td]

Data2

[/td]

[/tr]

[tr]

[td]

A

[/td]

[td]

D1

[/td]

[td]

D3

[/td]

[/tr]

[tr]

[td]

B

[/td]

[td]

D1

[/td]

[td]

D3

[/td]

[/tr]

[tr]

[td]

B

[/td]

[td]

D1

[/td]

[td]

D2

[/td]

[/tr]

[tr]

[td]

A

[/td]

[td]

D2

[/td]

[td]

D2

[/td]

[/tr]

[tr]

[td]

B

[/td]

[td]

D2

[/td]

[td]

D3

[/td]

[/tr]

[tr]

[td]

A

[/td]

[td]

D3

[/td]

[td]

D1

[/td]

[/tr]

[tr]

[td]

A

[/td]

[td]

D3

[/td]

[td]

D2

[/td]

[/tr]

[tr]

[td]

B

[/td]

[td]

D3

[/td]

[td]

D2

[/td]

[/tr]

[tr]

[td]

A

[/td]

[td]

D3

[/td]

[td]

D3

[/td]

[/tr]

[tr]

[td]

B

[/td]

[td]

D3

[/td]

[td]

D3

[/td]

[/tr]

[/TABLE]

and output which I need is

[TABLE="class: text_table, width: 229"]

[tr]

[td][/td]

[td]

A

[/td]

[td][/td]

[td][/td]

[td]

B

[/td]

[td][/td]

[/tr]

[tr]

[td]

Unique

[/td]

[td]

Col1

[/td]

[td]

Col2

[/td]

[td][/td]

[td]

Col1

[/td]

[td]

Col2

[/td]

[/tr]

[tr]

[td]

D1

[/td]

[td]

1

[/td]

[td]

1

[/td]

[td][/td]

[td]

2

[/td]

[td]

0

[/td]

[/tr]

[tr]

[td]

D3

[/td]

[td]

1

[/td]

[td]

2

[/td]

[td][/td]

[td]

1

[/td]

[td]

3

[/td]

[/tr]

[tr]

[td]

D2

[/td]

[td]

3

[/td]

[td]

2

[/td]

[td][/td]

[td]

2

[/td]

[td]

2

[/td]

[/tr]

[/TABLE]

please do help...
Thanks

Hi Sir, are you workin gon that ?

Quote from Rmrekoj

Hi Sir, any solution for above m not able to do still working on that

?

Hi Sir, any solution for above m not able to do still working on that

Quote from Carim

Thanks for your Thanks ..AND for the Like... :smile:

with the help of your vba I got new challenge below m working on that ,,...

Data is like ....date column will be filtered many criteria I have done work on that I just wanted to work after special cells

this is filtered data with some criteria and visible like below
[TABLE="border: 0, cellpadding: 0, cellspacing: 0, width: 164"]

[tr]

[td]

Date

[/td]

[td]

Data1

[/td]

[td]

Data2

[/td]

[/tr]

[tr]

[td]

A

[/td]

[td]

D1

[/td]

[td]

D3

[/td]

[/tr]

[tr]

[td]

B

[/td]

[td]

D1

[/td]

[td]

D3

[/td]

[/tr]

[tr]

[td]

B

[/td]

[td]

D1

[/td]

[td]

D2

[/td]

[/tr]

[tr]

[td]

A

[/td]

[td]

D2

[/td]

[td]

D2

[/td]

[/tr]

[tr]

[td]

B

[/td]

[td]

D2

[/td]

[td]

D3

[/td]

[/tr]

[tr]

[td]

A

[/td]

[td]

D3

[/td]

[td]

D1

[/td]

[/tr]

[tr]

[td]

A

[/td]

[td]

D3

[/td]

[td]

D2

[/td]

[/tr]

[tr]

[td]

B

[/td]

[td]

D3

[/td]

[td]

D2

[/td]

[/tr]

[tr]

[td]

A

[/td]

[td]

D3

[/td]

[td]

D3

[/td]

[/tr]

[tr]

[td]

B

[/td]

[td]

D3

[/td]

[td]

D3

[/td]

[/tr]

[/TABLE]

and output need

[TABLE="border: 0, cellpadding: 0, cellspacing: 0, width: 229"]

[tr]

[td][/td]

[td]

A

[/td]

[td][/td]

[td][/td]

[td]

B

[/td]

[td][/td]

[/tr]

[tr]

[td]

Unique

[/td]

[td]

Col1

[/td]

[td]

Col2

[/td]

[td][/td]

[td]

Col1

[/td]

[td]

Col2

[/td]

[/tr]

[tr]

[td]

D1

[/td]

[td]

1

[/td]

[td]

1

[/td]

[td][/td]

[td]

2

[/td]

[td]

0

[/td]

[/tr]

[tr]

[td]

D3

[/td]

[td]

1

[/td]

[td]

2

[/td]

[td][/td]

[td]

1

[/td]

[td]

3

[/td]

[/tr]

[tr]

[td]

D2

[/td]

[td]

3

[/td]

[td]

2

[/td]

[td][/td]

[td]

2

[/td]

[td]

2

[/td]

[/tr]

[/TABLE]

Thank you,, It was really helpful to have your input...I’m extremely fortunate to have you all guys as a master...