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)

What is R Shiny?

The Shiny app package is basically a tool where you, with your R knowledge, build a web page and present the result of your R scripts to everybody, including people who don't know R. They can access the information without doing anything but clicking on a website. You, otherwise, need to know the scripts from the analysis you wish to make available.

The way that the shiny package works can be split into two parts: the user's interface and the server function. The user's interface is the website or R Markdown document that users interact with and spend some clicks on. The server can be your computer or a web server where the website is hosted—it must be a server running the R language. When the users request a new visualization, the Shiny app serves the web server with a new R script, then it runs the R codes and serves the new display to...