1a.  Extract the total dollar amount of funds per state from the election data.
1b.  Use the (built-in) state.abb to extract the results from the 50 US States (only).

2a.  Use the master table from the SQL database to find the number of baseball players born in each state.
2b.  Use the (built-in) state.abb to extract the results from the 50 US States (only).

3a.  Extract a table that contains the total number of flights departing from each airport.
3b.  Use the locations of the airports from the auxiliary airports file, available here:
http://stat-computing.org/dataexpo/2009/supplemental-data.html
to turn the results from part a into the total number of flights departing from each state.
(This will require a little thought!)
3c.  Use the (built-in) state.abb to extract the results from the 50 US States (only).

4.  Make a figure that compares each of these pairs of data, from questions 1b, 2b, and 3c.  For instance, you might use the "pairs" function or another function of your choice.  The resulting plot will compare the total funds donated in each state, and the total number of baseball players born in each state, and the total number of flights departing from each state.

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5a.  Lookup the top 1000 boy and girl baby names from 2017 on this webpage:
https://www.ssa.gov/oact/babynames/
5b.  Save the html of the resulting webpage.  (This is necessary because it is rendered by a CGI script,
so we cannot easily scrape the data on the fly from this webpage; instead, we must download the page first.)
5c.  From this saved html file, scrape the top 100 boy names and the top 100 girl names.

6a.  In the election data, find the total amount of donations contributed by donors whose name contains the phrase Emma (in capital letters).  If you are unable to ensure that this is the "first name" that is OK for the purposes of the project, but you might want to (for instance) try to make your search as intelligent as possible.  There is more than one way to do so, of course.
6b.  Repeat part 6a for four more girl names of your choice.

7a.  Write a function that takes a girl name as input and extracts the total amount of donations contributed by donors who have this first name.
7b.  Use the sapply function to run your function on each of the top 100 girl names that you extracted in 5c.

8.  Repeat questions 6 and 7 for the top 100 boy names.

9a.  Which girl name contributed the most, in terms of the total amount of donations?
9b.  Which boy name contributed the most, in terms of the total amount of donations?