Finally! We can start to jump into some real data, some real code, and some real results. Specifically, we will be diving deeper into the following ideas:
- Structured versus unstructured data
- Quantitative versus qualitative data
- The four levels of data
- Exploratory data analysis and data visualizations
- Descriptive statistics
Each of these topics will give us a better sense of the data given to us, what is present within the dataset, what is not present within the dataset, and some basic notions on how to proceed from there.
If you're familiar with, Principles of Data Science, much of this echoes Chapter 2, Types of Data of that book. That being said, in this chapter, we will specifically look at our data less from a holistic standpoint, and more from a machine-learning standpoint.
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