Book Image

Hands-On Data Science with R

By : Vitor Bianchi Lanzetta, Doug Ortiz, Nataraj Dasgupta, Ricardo Anjoleto Farias
Book Image

Hands-On Data Science with R

By: Vitor Bianchi Lanzetta, Doug Ortiz, Nataraj Dasgupta, Ricardo Anjoleto Farias

Overview of this book

R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data science ecosystem for aspiring data scientists, right from zero to a level where you are confident enough to get hands-on with real-world data science problems. The book starts with an introduction to data science and introduces readers to popular R libraries for executing data science routine tasks. This book covers all the important processes in data science such as data gathering, cleaning data, and then uncovering patterns from it. You will explore algorithms such as machine learning algorithms, predictive analytical models, and finally deep learning algorithms. You will learn to run the most powerful visualization packages available in R so as to ensure that you can easily derive insights from your data. Towards the end, you will also learn how to integrate R with Spark and Hadoop and perform large-scale data analytics without much complexity.
Table of Contents (16 chapters)


  1. Quiz-tion: Which of the following would usually be a discrete variable in a dataset
    1. The order in which a player elects to bat in a game of cricket
    2. The number of runs scored by a batsman
    3. The time it took to complete a match
  2. Quiz-tion: What is the package Amelia used for?
    1. To perform chained multi-variate equations in SAS
    2. To load the Movies database from IMDB
    3. To address challenges with missing data
  3. Quiz-tion: There are various packages in R that leverage ggplot2 such as ggnet, ggmap, and many others. What does gg stand for?
    1. Graphics GUI
    2. Grammar of graphics
    3. GUI generation

Q1 - 1, Q2 - 3, Q3 - 2