Given the table1 below #> # A tibble: 6 x 4 #> country year cases population...

 

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Given the table1 below #> # A tibble: 6 x 4 #> country year cases population #> <chr> <int> <int> <int> #> 1 Afghanistan 1999 745 19987071 #> 2 Afghanistan 2000 2666 20595360 #> 3 Brazil 1999 37737 172006362 #> 4 Brazil 2000 80488 174504898 # > 5 China #> 6 China 1999 212258 1272915272 2000 213766 1280428583 Explain the result after running RScript below: table1 %>% count (year, wt = cases) Given the table1 below #> # A tibble: 6 x 4 #> country year cases population #> <chr> <int> <int> <int> #> 1 Afghanistan 1999 745 19987071 #> 2 Afghanistan 2000 2666 20595360 #> 3 Brazil 1999 37737 172006362 #> 4 Brazil 2000 80488 174504898 # > 5 China #> 6 China 1999 212258 1272915272 2000 213766 1280428583 Explain the result after running RScript below: table1 %>% count (year, wt = cases)

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The image shows a tibble a type of data frame in R named table1 with the following columns country y... View the full answer