The Beers dataset contains a list of 2410 US craft beers and Breweries
dataset contains 558 US breweries. The datasets descriptions are as
Name: Name of the beer.
Beer_ID: Unique identifier of the beer.
ABV: Alcohol by volume of the beer.
IBU: International Bitterness Units of the beer.
Brewery_ID: Brewery id associated with the beer.
Style: Style of the beer.
Ounces: Ounces of beer.
Brew_ID: Unique identifier of the brewery.
Name: Name of the brewery.
City: City where the brewery is located.
State: U.S. State where the brewery is located.
You can assume that your audience is the CEO and CFO of Budweiser
(your client) and that they only have had one class in statistics and have
indicated that you cannot take more than 7 minutes of their time. 20% of
your grade will be based on the presentation.
They have hired you to answer the 7 questions listed below and beyond
those general questions you may speculate / anticipate what may be of
interest to them.
A. A GitHub repository
The GitHub repo should contain the following items and a link to the GitHub
repo should be placed on a Word Doc (or PDF) and submitted to 2DS for
The final repo should contain:
1. An RMarkdown file containing the following:
a. The introduction needs to be written as if you are presenting the
work to the CEO and CFO of Budweiser (your client) and that they
only have had one class in statistics. If it sounds like a student
presentation, that is not acceptable. You may assume that the CEO
and CFO gave you the data and gave you the directive to report any
interesting finding that you may uncover through your analysis.
b. Briefly explain the purpose of the code. The explanations
should appear as a sentence or two before or after the code chunk.
Even though you will not be hiding the code chunks (so that I can see
the code), you need to assume that the client can’t see them.
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