Summary
This chapter has provided an overview of the crucial role data types play in data science, emphasizing the importance of understanding the nature of the data before commencing any analysis. We discussed the significance of asking three key questions when encountering a new dataset: whether the data is structured or unstructured, whether each column is quantitative or qualitative, and the level of data within each column (nominal, ordinal, interval, or ratio).
By completing this chapter, you should be able to identify the types of data they are working with and understand the implications of those data types on their analysis. This knowledge will help you select appropriate graphs, interpret results, and determine the next steps in the analytical process. You should also be familiar with the concept of converting data from one level to another to gain more insights.
With this knowledge, and with the ability to classify data as nominal or ordinal through various examples...