Use the library tidyverse in $R$ and load the data "who" data and map$\_$data$("$world$").$ Using the

shared code "Rlecture$\_$data$\_$cleaning.R$"$ clean the "who" data and then plot on the world map the

geographical distribution of total TB cases for males across the world in the year $2000$ using the code

"Rlecture$\_$maps.R$".$

A$)$ Show your replicated plot.

B$)$ Were there any recorded male TB cases in $2000$ in countries like the United States of America and

Russia? Report the number of total male TB cases in these two countries in $2000.$ Do you see them

on the map?

C$)$ Explain why, in the given code, you find a set of countries with recorded male TB cases in $2000$

that are not being plotted on the map.

D$)$ Find the list of all unique countries that have recorded a number of male TB cases in $2000$ in the

"who" data but is not being plotted on the map. $[$Hint: look up the function anti$\_$join$()$ and think

how you can use it$]$

E$)$ Correct the map generated by "Rlecture$\_$maps.R$"$ such that these countries are reflected on the

map.