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  • Book Overview & Buying Hands-On Data Science with R
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Hands-On Data Science with R

Hands-On Data Science with R

By : Doug Ortiz , Bianchi Lanzetta, Dasgupta, Farias
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Hands-On Data Science with R

Hands-On Data Science with R

4 (1)
By: Doug Ortiz , Bianchi Lanzetta, Dasgupta, 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)
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Visualizing Data


"Any authentic work of art must start an argument between the artist and his audience."
– Rebecca West

"Did you understand, or would you like me to draw it?" You might offend someone asking this way, but I would prefer if you drew it. Understanding information displayed in well-designed plots is much easier/faster. Plots are an amazing way to display information and an important skill to master.

This chapter's primary goal is to draw similar plots using different packages. While giving a brief overview of the different drawing packages, this chapter will also give tips about the ways to retrieve data, process it, and improve your plot.

In this chapter, the following topics will be covered:

  • Retrieving data from the World Bank...
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Hands-On Data Science with R
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