After completing this lesson, you will be able to perform the following descriptive analytics tasks in analyzing COVID vaccine acceptance, uptake, and experiences: 1. Data acquisition. 2. Data cleansing and modification. 3. Cluster analysis. 4. Association rule analysis. 5. Text mining. Analyzing COVID-19 Vaccine Acceptance, Uptake, and Experiences Understanding people's attitudes towards COVID vaccine acceptance is central to achieving the goal of stopping the pandemic by inoculating enough people to reach herd immunity to COVID-19. To help gain insight into the implications of COVID vaccine acceptance in the US, you are charged with analyzing COVID vaccination data with the use of descriptive analytics methods you learned in Module 4. Specifically, you are to perform (1) cluster analysis to discover geographic grouping of vaccine acceptance, (2) association rule analysis to express the likelihood of co-occurrences of vaccine acceptance and uptake, and (3) text mining to summarize Americans' vaccine exper