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We want to avoid the push and pull of whether or not to "trust" scientists. Loads of the historical data around climate science is freely available (https://www.esrl.noaa.gov/gmd/ccgg/trends/) but not somewhere pretty I can point people to, where they can understand the process and conclusions, without getting into programming themselves.
How?
The text was updated successfully, but these errors were encountered:
You can then link data from wikidata based on the open refine data. Below is an example expression I used. It joins the Country column from the open refine dataset to the wikidata country property. Then it shows the currency of the country. Click on the drop down arrow on the column, choose edit columns, add column by fetching URLs... "https://tools.wmflabs.org/openrefine-wikidata/fetch_values?prop=P38&flat=true&item="+cells["Country"].recon.match.id
This concept could be quite useful to find correlations between high emissions and a particular country property.
We want to avoid the push and pull of whether or not to "trust" scientists. Loads of the historical data around climate science is freely available (https://www.esrl.noaa.gov/gmd/ccgg/trends/) but not somewhere pretty I can point people to, where they can understand the process and conclusions, without getting into programming themselves.
How?
The text was updated successfully, but these errors were encountered: