Hi Team,
Need vba help, I want to seperate my data where Cell contain "No Record"
My Dummy Data is in Column ("A:E").
Expected Output is in Column ("H:L").
Thanks
mg
Need vba help, I want to seperate my data where Cell contain "No Record"
My Dummy Data is in Column ("A:E").
Expected Output is in Column ("H:L").
Book1 | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | G | H | I | J | K | L | |||
1 | Invoice | Product | Amount | Product Code | Sales Man | Invoice | Product | Amount | Product Code | Sales Man | ||||
2 | 38692 | No Record | 40000 | Sachin | 38692 | No Record | 40000 | Sachin | ||||||
3 | 45262 | Lux | 80000 | 20 | No Record | 45262 | Lux | 80000 | 20 | No Record | ||||
4 | 23009 | Lux | 80000 | 30 | Sachin | 52367 | Lifebuoy | No Record | 20 | Dhoni | ||||
5 | 52367 | Lifebuoy | No Record | 20 | Dhoni | 59622 | Lux | 40000 | No Record | Dhoni | ||||
6 | 53249 | Lux | 80000 | 30 | Kohli | 21013 | Lux | 80000 | No Record | Kohli | ||||
7 | 59622 | Lux | 40000 | No Record | Dhoni | 22225 | Lifebuoy | 40000 | 30 | No Record | ||||
8 | 21013 | Lux | 80000 | No Record | Kohli | 32752 | No Record | No Record | 30 | Sachin | ||||
9 | 23701 | Lux | 80000 | 20 | Dhoni | 48084 | No Record | 80000 | 20 | Dhoni | ||||
10 | 22225 | Lifebuoy | 40000 | 30 | No Record | 24972 | Lifebuoy | No Record | 20 | Kohli | ||||
11 | 48318 | Lux | 40000 | 20 | Dhoni | 55267 | Lux | 40000 | No Record | Kohli | ||||
12 | 32752 | No Record | No Record | 30 | Sachin | 55387 | No Record | 80000 | 20 | Sachin | ||||
13 | 48084 | No Record | 80000 | 20 | Dhoni | 52272 | Lifebuoy | No Record | 30 | Dhoni | ||||
14 | 35559 | Lux | 40000 | 30 | Sachin | No Record | Lifebuoy | 80000 | 30 | Kohli | ||||
15 | 24972 | Lifebuoy | No Record | 20 | Kohli | 57887 | No Record | 80000 | 30 | Kohli | ||||
16 | 28817 | Lux | 80000 | 30 | Dhoni | 47973 | No Record | 80000 | 30 | Dhoni | ||||
17 | 21308 | Lux | 40000 | 20 | Sachin | 57619 | Lux | 40000 | No Record | Dhoni | ||||
18 | 39018 | Lifebuoy | 40000 | 30 | Kohli | |||||||||
19 | 22946 | Lux | 40000 | 20 | Dhoni | |||||||||
20 | 57604 | Lifebuoy | 80000 | 30 | Dhoni | |||||||||
21 | 21541 | Lifebuoy | 80000 | 30 | Dhoni | |||||||||
22 | 55267 | Lux | 40000 | No Record | Kohli | |||||||||
23 | 54834 | Lifebuoy | 80000 | 20 | Sachin | |||||||||
24 | 53374 | Lux | 40000 | 30 | Kohli | |||||||||
25 | 55387 | No Record | 80000 | 20 | Sachin | |||||||||
26 | 43203 | Lifebuoy | 40000 | 30 | Dhoni | |||||||||
27 | 59984 | Lifebuoy | 40000 | 20 | Dhoni | |||||||||
28 | 52272 | Lifebuoy | No Record | 30 | Dhoni | |||||||||
29 | 35336 | Lifebuoy | 40000 | 20 | Sachin | |||||||||
30 | No Record | Lifebuoy | 80000 | 30 | Kohli | |||||||||
31 | 51272 | Lux | 80000 | 20 | Dhoni | |||||||||
32 | 57887 | No Record | 80000 | 30 | Kohli | |||||||||
33 | 47973 | No Record | 80000 | 30 | Dhoni | |||||||||
34 | 29859 | Lifebuoy | 40000 | 30 | Kohli | |||||||||
35 | 57619 | Lux | 40000 | No Record | Dhoni | |||||||||
Sheet1 |
Thanks
mg