I’m working on a r question and need an explanation and answer to help me learn.

1. pipe the election data through the select() function to pick out the following columns – state, total_vote, r_points, pct_trump, party, census. Pipe that through sample() to see the first five rows.
2. Create a state level dotplot  of election data except the District of Columbia faceted by region. Colorize the dots by party and insert a vertical line dividing the parties, scale the x axis from -30 to +40, put the states on the y axis and label each facet by region and the entire set by “Point Margin”.
3. create a colorized map of the states of the United States without a legend using the Albers projection.
4. remove the grid lines and axis labels, if any, and color the previous map according to the 2016 election results – red for Trump, blue for Clinton
5. create a red colored gradient map of Trump voters by percentage in each state with the deeper intensity of the color reflecting the higher the percentage
6. create map of Trump v. Clinton with purple showing the midpoint between red (Trump) and blue (Clinton).
7. create a map of opiate related adjusted death rates per state faceted by year from 2000 to 2014. Use a viridis scale color gradient and an Albers projection.
8. What regions stand out to you as bearing watching? Why?
9. show the opiate data as a time series, faceted by region showing all states within the region and adding a smoothing curve. 
10. Interpret the features of this set of graphs.