10. Analyzing a Dataset


By the end of this chapter, you will be able to explain the key steps involved in performing exploratory data analysis; identify the types of data contained in the dataset; summarize the dataset and at a detailed level for each variable; visualize the data distribution in each column; find relationships between variables and analyze missing values and outliers for each variable

This chapter will introduce you to the art of performing exploratory data analysis and visualizing the data in order to identify quality issues, potential data transformations, and interesting patterns.


In the previous chapter, which was all about improving our machine learning model, tune its hyperparameters, and interpret ...

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