Problem $1.$ Collapse data.

a$.$ Import the dataset ukcpr$\_$national$\_$welfare$\_$data.csv$.$ Keep the following variables state$\_$name, state$\_$fips, year, Population, Employment, Unemploymentrate, and GrossStateProduct, and then subset the dataframe to $2010-2019.$ Finally, keep only five states: Georgia, Florida, North Carolina, South Carolina, and Virginia.

b$.$ Following part a$,$ create employment$-$to$-$population ratio $($employment$/$population$)$ and GDP per capita $($Gross state product$/$population$).$ Find the state with the highest average GDP per capita between $2010-2019($Hint: use the group$\_$by$()$ function$).$

Problem $2.$ Basic plots.

Using the dataframe you created in part a of problem $1$ above, create the following plots $($make sure that everything is properly labeled$)$:

a$.$ A bar chart that compares the population across the five states between in $2019.$

b$.$ A line graph that shows the evolution of unemployment rates in Georgia between $2000-2019.$

c$.$ Modify the line graph in part $c$ and add the lines for the other four states.

d$.$ Use the facet$\_$wrap$()$ funciton to produce a graph that has a separate subplot for each state.