For the purposes of this assignment you will develop two different classification predictive models to classify

different types of dry beans. You have to write a report wherein you provide responses in clear narrative on the

aspects enumerated below, under appropriate section headings. Note that code will not be evaluated. Tables

and figures will also not be considered if these tables and figures are not accompanied by your own explanation

of what these tables and figures portray.

Complete the assignment in the following steps:

$1.$ Download the DryBeanDataSet$774.$xlsx dataset. The dataset contains $13611$ instances, $20$ descriptive

features, and the class feature Class in column U$.$

$2.$ Without changing anything in the provided dataset, provide an analytics base table wherein you characterize all of the features of the dataset. Please provide the code to do this in R