Formula
score = (x) -> if x == "Yes" 10 else 0 weights = [0.2, 0.2, 0.2, 0.2, 0.2] air_pollutants = [reduction_evidence, management_and_monitoring, pollutants_reporting, time_bound_targets, target_reporting] weights.reduce((weighted_sum, weight, index) -> weighted_sum + weight*score(air_pollutants[index]) , 0)
![World Benchmarking Alliance+Image](https://dq06ugkuram52.cloudfront.net/files/8080275/47886609-icon.jpeg)
World Benchmarking Alliance
reduction_evidence
2022
![World Benchmarking Alliance+Image](https://dq06ugkuram52.cloudfront.net/files/8080275/47886609-icon.jpeg)
World Benchmarking Alliance
management_and_monitoring
2022
NAT.B13.EC Air Pollutants Reporting
Research lock
![World Benchmarking Alliance+Image](https://dq06ugkuram52.cloudfront.net/files/8080275/47886609-icon.jpeg)
World Benchmarking Alliance
pollutants_reporting
2022
![World Benchmarking Alliance+Image](https://dq06ugkuram52.cloudfront.net/files/8080275/47886609-icon.jpeg)
World Benchmarking Alliance
time_bound_targets
2022
![World Benchmarking Alliance+Image](https://dq06ugkuram52.cloudfront.net/files/8080275/47886609-icon.jpeg)
World Benchmarking Alliance
target_reporting
2022