Formula
score = (x) -> if x == "Yes" 10 else 0 weights = [0.25, 0.25, 0.25, 0.25] scope_1_n_2_ghg_emissions = [reductions, targets, targets_reporting, alignment] weights.reduce((weighted_sum, weight, index) -> weighted_sum + weight*score(scope_1_n_2_ghg_emissions[index]) , 0)
![World Benchmarking Alliance+Image](https://dq06ugkuram52.cloudfront.net/files/8080275/47886609-icon.jpeg)
World Benchmarking Alliance
reductions
2022
![World Benchmarking Alliance+Image](https://dq06ugkuram52.cloudfront.net/files/8080275/47886609-icon.jpeg)
World Benchmarking Alliance
targets
2022
![World Benchmarking Alliance+Image](https://dq06ugkuram52.cloudfront.net/files/8080275/47886609-icon.jpeg)
World Benchmarking Alliance
targets_reporting
2022
![World Benchmarking Alliance+Image](https://dq06ugkuram52.cloudfront.net/files/8080275/47886609-icon.jpeg)
World Benchmarking Alliance
alignment
2022