Assignment 5
Due Saturday 11:59 pm (Week 12)
Part 1 (40 points)
This dataset contains State-by-state data on COVID-19 vaccinations in the United States from
1/2/2021 to 8/2/2021. You will be required to answer the following questions by timeseries
analysis.
* For vaccines that require multiple doses, each individual dose is counted. As the same person may receive
more than one dose, the number of doses can be higher than the number of people in the population.
* Don’t forget to check the null values, and decide what to do with them.
1) How many COVID-19 vaccine doses have been administered by states daily? You are
only required to answer two states by providing the visualizations.
2) The top 10 states that distributed the largest number of vaccines between 5/1/2021 and
5/7/2021? Visualization or Table.
3) Which state was the state that distributed the most vaccines per 100 people between
5/1/2021 and 5/7/2021? Visualization or Table.
Part 2 (40 points)
Market Basket Analysis is one of the key techniques used by large retailers to uncover
associations between items. It works by looking for combinations of items that occur together
frequently in transactions. To put it another way, it allows retailers to identify relationships
between the items that people buy.
Association Rules are widely used to analyze retail basket or transaction data and are intended
to identify strong rules discovered in transaction data using measures of interestingness, based
on the concept of strong rules.
Find the answers of the following question:
1) Top 20 frequently bought products. (Visualization as the answer is preferred.)
2) Use the apriori algorithm, find the top 10 popular itemsets by support, lift, and
confidence. You need to interpret each result. (Visualization or table)
General requirements (as always):
1. You will need to write up your findings, interpretations, and results (20 points) for this
assignment. You can put two parts of this assignment in one paper. It will be a great idea
to screenshot your codes, results, and graphs so that you can explain your findings along
with them. (It is also easier for me to follow you when I read your paper). A pdf file is
required. There is no page limit but try to be straightforward with your answers.
2. The py files that you have used to finish your assignment. (It may be a duplicate or
somewhat duplicate of the screenshots that you have inserted in your paper but that is
okay. I would like to look over your codes.)
