Hi
This is filtered data with company names on the rows that proceed preceed the record ID, so Record ID 1 has Co 1, Record ID has Co 2, and both reside in Argentina, Co 3 through to Co 14, has Record ID 4 through to 14...etc etc
How can I populate the country name against all of these company names based on the record ID, so Record ID 1-2 would have Argentina in a new Country column, Record ID 4 to 14 would have Australia in the Country column etc. Struggling to get it right but it'll help automate something quite complex if I can figure this little bit out!! Thanks in advance
| RecordID | Tax Jurisdiction | 
| 3 | ARGENTINA | 
| 15 | AUSTRALIA | 
| 21 | AUSTRIA | 
| 27 | BRAZIL | 
| 31 | BULGARIA | 
| 34 | CANADA | 
| 40 | CHILE | 
| 46 | CHINA | 
| 50 | COLOMBIA | 
| 53 | COSTA RICA | 
| 55 | DENMARK | 
| 61 | FRANCE | 
| 72 | GERMANY | 
| 76 | HONG KONG | 
| 82 | INDIA | 
| 84 | INDONESIA | 
| 86 | PHILIPPINES | 
| 93 | IRELAND | 
| 96 | ITALY | 
| 98 | JAPAN | 
| 100 | KOREA | 
| 102 | MAYANMAR | 
| 108 | MALAYSIA | 
| 110 | MEXICO | 
| 118 | MONACO | 
| 128 | NETHERLANDS | 
| 130 | NEW ZEALAND | 
| 135 | NORWAY | 
| 139 | PERU | 
| 141 | POLAND | 
| 148 | SINGAPORE | 
| 150 | NAMIBIA | 
| 152 | LESOTHO | 
| 155 | UGANDA | 
| 157 | BOTSWANA | 
| 159 | MOZAMBIQUE | 
| 174 | SOUTH AFRICA | 
| 176 | SWITZERLAND | 
| 186 | SPAIN | 
| 188 | THAILAND | 
| 191 | TURKEY | 
| 195 | RUSSIA | 
| 285 | UNITED KINGDOM | 
| 329 | UNITED STATES | 
| 330 | REPORT TOTALS | 
Solved! Go to Solution.
@ck2024 
How does your unfiltered data look like?
Hi @Qiu
Thanks for opening my request, it looks like this, so I need the capitlised country to appear in a new column for the rows above until it hits already populated countries so Australia wouldn't overwrite the Argentina countries etc.
| RecordID | Tax Jurisdiction | 
| 1 | Company 1 | 
| 2 | Company 2 | 
| 3 | ARGENTINA | 
| 4 | Company 3 | 
| 5 | Company 4 | 
| 6 | Company 5 | 
| 7 | Company 6 | 
| 8 | Company 7 | 
| 9 | Company 8 | 
| 10 | Company 9 | 
| 11 | Company 10 | 
| 12 | Company 11 | 
| 13 | Company 12 | 
| 14 | Company 13 | 
| 15 | AUSTRALIA | 
| 16 | Company 14 | 
| 17 | Company 15 | 
| 18 | Company 16 | 
| 19 | Company 17 | 
| 20 | Company 18 | 
| 21 | AUSTRIA | 
| 22 | Company 19 | 
| 23 | Company 20 | 
| 24 | Company 21 | 
| 25 | Company 22 | 
| 26 | Company 23 | 
| 27 | BRAZIL | 
| 28 | Company 24 | 
| 29 | Company 25 | 
| 30 | Company 26 | 
| 31 | BULGARIA | 
| 32 | Company 27 | 
| 33 | Company 28 | 
| 34 | CANADA | 
| 35 | Company 29 | 
| 36 | Company 30 | 
| 37 | Company 31 | 
| 38 | Company 32 | 
| 39 | Company 33 | 
| 40 | CHILE | 
| 41 | Company 34 | 
| 42 | Company 35 | 
| 43 | Company 36 | 
| 44 | Company 37 | 
| 45 | Company 38 | 
| 46 | CHINA | 
| 47 | Company 1 | 
| 48 | Company 2 | 
| 49 | Company 3 | 
| 50 | COLOMBIA | 
| 51 | Company 1 | 
| 52 | Company 2 | 
| 53 | Company 3 | 
| 54 | Company 4 | 
| 55 | Company 5 | 
| 56 | Company 6 | 
| 57 | Company 7 | 
| 58 | Company 8 | 
| 59 | Company 9 | 
| 60 | Company 10 | 
| 61 | Company 11 | 
| 62 | Company 12 | 
| 63 | Company 13 | 
| 64 | Company 14 | 
| 65 | Company 15 | 
| 66 | Company 16 | 
| 67 | Company 17 | 
| 68 | Company 18 | 
| 69 | Company 19 | 
| 70 | Company 20 | 
| 71 | Company 21 | 
| 72 | Company 22 | 
| 73 | Company 23 | 
| 74 | Company 24 | 
| 75 | Company 25 | 
| 76 | Company 26 | 
| 77 | Company 27 | 
| 78 | Company 28 | 
| 79 | Company 29 | 
| 80 | Company 30 | 
| 81 | Company 31 | 
| 82 | Company 32 | 
| 83 | Company 33 | 
| 84 | Company 34 | 
| 85 | Company 35 | 
| 86 | Company 36 | 
| 87 | Company 37 | 
| 88 | Company 38 | 
| 89 | Company 39 | 
| 90 | Company 40 | 
| 91 | Company 41 | 
| 92 | Company 42 | 
| 93 | Company 43 | 
| 94 | Company 44 | 
| 95 | Company 45 | 
| 96 | Company 46 | 
| 97 | Company 47 | 
| 98 | Company 48 | 
| 99 | Company 49 | 
| 100 | Company 50 | 
| 101 | Company 51 | 
| 102 | Company 52 | 
| 103 | Company 53 | 
| 104 | Company 54 | 
| 105 | Company 55 | 
| 106 | Company 56 | 
| 107 | Company 57 | 
| 108 | Company 58 | 
| 109 | Company 59 | 
| 110 | Company 60 | 
| 111 | Company 61 | 
| 112 | Company 62 | 
| 113 | Company 63 | 
| 114 | Company 64 | 
| 115 | Company 65 | 
| 116 | Company 66 | 
| 117 | Company 67 | 
| 118 | Company 68 | 
| 119 | Company 69 | 
| 120 | Company 70 | 
| 121 | Company 71 | 
| 122 | Company 72 | 
| 123 | Company 73 | 
| 124 | Company 74 | 
| 125 | Company 75 | 
| 126 | Company 76 | 
| 127 | Company 77 | 
| 128 | Company 78 | 
| 129 | Company 79 | 
| 130 | Company 80 | 
| 131 | Company 81 | 
| 132 | Company 82 | 
| 133 | Company 83 | 
| 134 | Company 84 | 
| 135 | Company 85 | 
| 136 | Company 86 | 
| 137 | Company 87 | 
| 138 | Company 88 | 
| 139 | Company 89 | 
| 140 | Company 90 | 
| 141 | Company 91 | 
| 142 | Company 92 | 
| 143 | Company 93 | 
| 144 | Company 94 | 
| 145 | Company 95 | 
| 146 | Company 96 | 
| 147 | Company 97 | 
| 148 | Company 98 | 
| 149 | Company 99 | 
| 150 | Company 100 | 
| 151 | Company 101 | 
| 152 | Company 102 | 
| 153 | Company 103 | 
| 154 | Company 104 | 
| 155 | Company 105 | 
| 156 | Company 106 | 
| 157 | BOTSWANA | 
Hi @ck2024,
If I understand your problem correctly you want to append to company names country which is displayed one row behind.
My suggestion is to :
- generate rows: for RecordID 1-3 : ARGENTINA, Record ID 4-14: AUSTRALIA,
- then you can join it with list of companies which have assigned RecordID.
I am not sure if you need records with COUNTRies I mean rows with records ID 4, 15 , 21 etc.
But this can be excluded easily (let me know if you need help).
Karolina
You certainly did understand it correctly, thank you so much! This is what I was looking to achieve and had it in my mind the generate row maybe what i needed but just couldn't figure out the config!
So thanks again 🙂
 
					
				
				
			
		
