b) The 2019 atlantic hurricane season had six named storms that achieved hurricane status . c) The 2019 atlantic hurricane season had three named storms that intensified into major hurricanes, all of which became Category 5 hurricanes d) There was one storm in 2019 that formed outside the official hurricane season ( recall that the official season goes from June 1 to November 30 ) . e) Two storms became Category 5 hurricanes, at least one storm making landfall at Category 5 intensity. For each claim, write R code that provides output directly answering the claim (either confirming or denying the claim ). In addition to your R code , include a sound description and interpretation. C.4) Animated Map Make an animated map of storms in 2019 , to display their paths (or trajectories ). And don't forget to provide a sound description and interpretation for this visual display. To do this, you will have to plot the locations of the storms with their longitude and latitude on a map. Start by making a static (i.e. non-animated) map following one of the approaches described in Prof. Sanchez's book http://www.gastonsanchez.com /intro2cwd/eda-maps.html To learn how to animate static ggplots, take a look at the tutorial Getting Started with the package "gganimate " by Thomas Lin Pederson and David Robison: https://gganimate.com / articles/gganimate.html You can see an example of various animated graphics in An Intro to Animating Charts with gganimate " by Joe Drigo Enriquez https://rpubs.com /jedoenriquez/ animatingchartsintro Look at example 2 Australia us New Zealand: life expectancy and GDP per capita especially the section titled Animate the scatterplot , in which Joe Drigo uses the time variable year and the function transition_time () to make the year-based animated transitions