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The SG dataset is created by merging new data into the old GW dataset. But some of the indicators may not be appropriate to deep merge with the old data(keep the union of datapoints in both old and new), because the new data may have different collecting/calculating method.
For example an indicator calculated with 2011 usd is not good to deep merge with updated version calculated with 2016 usd. We should overwrite the 2011 version with 2016 version in this case.
need to find out which ones should use deep merge and update recipes
The text was updated successfully, but these errors were encountered:
The SG dataset is created by merging new data into the old GW dataset. But some of the indicators may not be appropriate to deep merge with the old data(keep the union of datapoints in both old and new), because the new data may have different collecting/calculating method.
For example an indicator calculated with 2011 usd is not good to deep merge with updated version calculated with 2016 usd. We should overwrite the 2011 version with 2016 version in this case.
need to find out which ones should use deep merge and update recipes
The text was updated successfully, but these errors were encountered: