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Consider the C O 2 Emissions project. Imagine the C O 2 _ and _ Oil dataset is recorded by month instead of by year.
Consider the Emissions project. Imagine the andOil dataset is recorded by month instead of by year.
For each observation of a country, there is a column storing the month such as January and a column storing the year such as
What visual recipe could be used to aggregate the data into yearly totals?
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