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)

How to build a Shiny app

First, we need to install the shiny package. If you don't have it, make sure to run the following code:


To build a Shiny application with R, we need to construct the two structures we talked about before. The user's interface is a web page based on an HTML code, and, as the name says, it is an interface that users can interact with; it can be an interactive plot, texts, images, and so on. You don't need to worry if you don't know anything about HTML since we are going to use the shiny package to build it, though some knowledge about it can help you to build an improved app. The server, otherwise, must contain all information needed by the web server to provide the information requested by the UI. Run the following code if you want to see some examples: