can you do the same question in r

Datasets: the datasets provide the profiling of recent PM$2\mathrm{.}5$ concentration levels in Hanoi and Ho Chi Minh cities, Vietnam in $2019.$ The purpose is to detect patterns of air pollution in the cities in relation to their health implications, in accordance with the U$.$S$.$ Environmental Protection.

Data is stratified from historical measurements of PM$2\mathrm{.}5$ concentration levels, acquired from fixed air quality monitoring instruments in the U$.$S$.$ Embassy in Hanoi and Ho Chi Minh City. Air pollution includes period throughout the months, days and hours within the above period.

Using monthly data, generate:

$1.2$ Boxplots $($choose one of variables$)$

$2.2$ scatterplots $($choose one of variables$)$

$3.2$ histograms $($choose one of variables$)$

What do these graphs tell you about the data and their structure?

Using systematic sampling method, select and conduct:

$4.13$ records per month from each city.

$5.$ Air quality comparison between $2$ cities using mean, median, max and min.

$6.$ Air quality correlation between $2$ cities.

What do these tests tell you about the pattern of air quality in these two cities?