Machine Learning with R Cookbook - Second Edition

How it works...

Univariate descriptive statistics generate the frequency distribution of datasets. Moreover, they can be used to identify the obvious patterns in the data, and the characteristics of the variates, to provide a better understanding of the data from a holistic viewpoint. Additionally, they can provide information about the central tendency and descriptors of the skewness of individual cases. Therefore, it is common to see that univariate analysis is conducted at the beginning of the data exploration process.

To begin the exploration of data, we first load the dataset, mtcars, to an R session. From the data, we apply range, length, mean, median, sd, var, IQR, quantile, min, max, cumin, and cumax to obtain the descriptive statistic ...