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Data Into Insights (Spring 2021)/R4DS Chapter 12
(section)
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== 12.2 == 2. Compute the rate for table2, and table4a + table4b. You will need to perform four operations: Extract the number of TB cases per country per year. Extract the matching population per country per year. Divide cases by population, and multiply by 10000. Store back in the appropriate place. Which representation is easiest to work with? Which is hardest? Why? NOTE: Only work on this for ~20 minutes. The big idea is to understand why different representations are easier or harder to work with in R. 3. Recreate the plot showing change in cases over time using table2 instead of table1. What do you need to do first?
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