In this chapter, we focused on the implementation of all the libraries of a univariate dataset, which holds a strong representation for time series creation. The best illustration considered in this chapter is the measurement of pollution with respect to parsimonious models with RH and AH. We have listed some of the various packages that are available for reading, in various kinds of attributes, within the dataset indicated 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 the next chapter, we will cover multivariate datasets. Multivariate datasets include a combination of fixed and continuous variables that help us with further exploratory analysis.
