Summary
This chapter was all about analysis types. First, you learned that EDA is a set of quick, preliminary analyses designed to give you some basic information about your data. Using it, you will have a better idea of what questions to ask, how to ask them, and whether it is worth trying more advanced analytics, and it gives you a general idea of what your data is like. You also covered common types of EDA, such as descriptive statistics, relationships, and dimension reduction.
While talking about performance analysis, or analyses designed to check the progress of a company, team, or process, we covered KPIs, which focus on comparing key metrics; project management, which focuses on tracking how a team is performing; and process analysis, which tracks the efficiency of a multi-stage process.
Trend analysis is all about looking at things over time. Often, this is used to forecast, or predict, what a number will do in the future, but it can also be used to track how a group...