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5 4 : 0 4 Consider the C O 2 Emissions project. Imagine the C O 2 _ and _ Oil dataset is recorded by

54:04
Consider the CO2 Emissions project. Imagine the CO2_and_Oil 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 2012).
What visual recipe could be used to aggregate the data into yearly totals?
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