Summary

In this chapter, we have focused on the implementation of all the libraries discussed in previous chapters, which will help in evaluating the univariate dataset. The best demonstration of the univariate dataset was the loan eligibility parameter of the customer, which we implemented through various algorithms. We have listed some of the various packages that are available for reading, in various kinds of attributes, within the dataset mentioned in R. There are lots of different options, and even the options we have listed have a wide functionality that we are going to cover and use as we progress through the book. In this chapter, we understood the structure of the data after cleaning and tidying it up. We then covered various tests, such as the hypothesis test, the Tietjen-Moore test, and the parsimonious model. In the next chapter, we will introduce a time series dataset...