As part of master the data, analysts must make certain trade-offs when they consider which data to use. Consider these three different scenarios:  

a. Analysis: What are the trade-offs of using data that are highly relevant to the question, but have a lot of missing data?  

b. Analysis: What are the trade-offs an analyst should consider between data that are very expensive to acquire and analyze, but will most directly address the question at hand? How would you assess whether they are worth the extra cost?  

c. Analysis: What are the trade-offs between extracting needed data by yourself, or asking a data scientist to get access to the data?