I have a dataset where I've managed to calculate the different percentages of features that have a specific landuse, e.g. grass, woodland, arable etc but I now have several rows for each filter. What i'd like to b able to do is create just one row per feature which has the original attributes plus new fields giving the different percentages of land use. What I have is
| lucode | Land_Use_D | Land_Cover | ListEntry | Shape_Leng | Shape_Area | Perc |
| PG01 | Grass | | 1001718 | 167.19716784000 | 2141.68791892000 | 100 |
| PG01 | Grass | | 1001719 | 84.34317002770 | 226.68991995300 | 23.95 |
| TC01 | Perennial Crops and Isolated Trees | Trees | 1001719 | 104.03389277900 | 719.78224659500 | 76.05 |
| PG01 | Grass | | 1001720 | 433.06711916800 | 6118.86022813000 | 40.04 |
| TC01 | Perennial Crops and Isolated Trees | Trees | 1001720 | 447.45356525900 | 2407.74789032000 | 15.76 |
| WO12 | Trees and Scrubs, short Woody plants, hedgerows | | 1001720 | 359.49582097800 | 6754.43756722000 | 44.2 |
What I want is
| ListEntry | Shape_Leng | Shape_Area | Perc | Landuse1 | Landuse1_% | Landuse2 | Landuse2_% | Landuse3 | Landuse3_% |
| 1001718 | 167.19716784000 | 2141.68791892000 | 100 | Grass | 100.00 | | | | |
| 1001719 | 84.34317002770 | 226.68991995300 | 23.95 | Perennial Crops and Isolated Trees | 76.05 | Grass | 23.95 | | |
| 1001720 | 433.06711916800 | 6118.86022813000 | 40.04 | Trees and Scrubs, short Woody plants, hedgerows | 44.20 | Grass | 40.04 | Perennial Crops and Isolated Trees | 15.76 |
Is this possible? There've been some really helpful people who've helped me split tables, but this is the opposite.
i'm happy to provide the dataset if that helps, but it's quite big.
I hope someone can help.
Ta