In this chapter, we have learned some initial important steps to prepare and understand our data. How many variables are available in our dataset? What kind of information do we have? Are there some missing values in the data? How can I treat missing values and outliers? I hope you can now answer these questions.
Moreover, in this chapter, we also learned how to split our data to train and validate our forthcoming predictive model. In the next chapter, we will advance one step ahead, performing a univariate analysis on this data, which means analyzing whether variables are useful for predicting bank failures.
