Ganguly K. R Data Analysis Cookbook

2nd.ed. — Packt, 2017. — 523 p. — ISBN: 978-1787124479.Key FeaturesAnalyse your data using the popular R packages with ready-to-use and customizable recipes
Find meaningful insights from your data and generate dynamic reports
A practical guide to help you put your data analysis skills in R to practical useBook DescriptionThis book will show you how you can put your data analysis skills in R to practical use, with recipes catering to the basic as well as advanced data analysis tasks. Right from acquiring your data and preparing it for analysis to the more complex data analysis techniques, the book will show you how you can implement each technique in the best possible manner. You will also visualize your data using the popular R packages like ggplot2 and gain hidden insights from it. Starting with implementing the basic data analysis concepts like handling your data to creating basic plots, you will master the more advanced data analysis techniques like performing cluster analysis, and generating effective analysis reports and visualizations. Throughout the book, you will get to know the common problems and obstacles you might encounter while implementing each of the data analysis techniques in R, with ways to overcoming them in the easiest possible way.By the end of this book, you will have all the knowledge you need to become an expert in data analysis with R, and put your skills to test in real-world scenarios.What you will learnAcquire, format and visualize your data using R
Using R to perform an Exploratory data analysis
Introduction to machine learning algorithms such as classification and regression
Get started with social network analysis
Generate dynamic reporting with Shiny
Get started with geospatial analysis
Handling large data with R for Spark and MongoDB