Data Exploration And Visualisation

In this second part of the book, our focus will be on the the five following chapters:

• In 4  Basics Of Statistics Using R we will discuss some of the statistical terms commonly used in data science and provide code examples in R.

• In 5  Data Manipulation Using R we will pay special attention to two of the most used R libraries: dplyr and data.table.

• In 6  Feature Engineering for Tabular Data we will understand how to perform feature engineering using R.

• In 7  Handling Data Issues we will understand how to handle various data problems using R.

• In 8  Data Visualisation Using ggplot2 we will look into the awesome R package ggplot2 for creating awesome graphics.