Chapter 1, Practical Machine Learning with R, shows how to install and setup R environment, it covers package installation basic syntax and data types followed by reading and writing data from various sources. It also covers basic statistics and visualization using R.
Chapter 2, Data Exploration with Air Quality Datasets, shows how actual data looks in R. It covers loading of data, exploring and visualizing the data.
Chapter 3, Analyzing Time Series Data, shows a totally different type of data which consist of time factor. It covers how to handle time series in R.
Chapter 4, R and Statistics, covers data sampling, probability distribution, univariate descriptive statistics, correlation, multivariate analysis, linear ...
