SUMMARY

This chapter started with a brief description of data literacy as well as some aspects of EDA (exploratory data analysis).

Then you learned about common types of data, such a binary, nominal, ordinal, and categorical data. You were also instructed about continuous versus discrete data, quantitative and quantitative data, and types of statistical data.

In addition, you were taught about concepts such as data drift and data leakage. Next you learned about processing categorical data and how to map categorical data to numeric data. Finally, you learned how to use the Python-based library called Faker in order to generate datasets containing synthetic data.