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R Data Analysis Cookbook, Second Edition Cover

R Data Analysis Cookbook, Second Edition

Customizable R Recipes for data mining, data visualization and time series analysis

Publisher:Packt Publishing Limited
By: Kuntal Ganguly,  Shanthi Viswanathan and  Viswa Viswanathan  
Paid access
|Sep 2025
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Over 80 recipes to help you breeze through your data analysis projects using R

Key Features

  • Analyse your data using the popular R packages like ggplot2 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 use

Book Description

Data analytics with R has emerged as a very important focus for organizations of all kinds. R enables even those with only an intuitive grasp of the underlying concepts, without a deep mathematical background, to unleash powerful and detailed examinations of their data.

This 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 learn

  • Acquire, 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 using Spark and MongoDB
  • Build Recommendation system- Collaborative Filtering, Content based and Hybrid
  • Learn real world dataset examples- Fraud Detection and Image Recognition

Who this book is for

This book is for data scientists, analysts and even enthusiasts who want to learn and implement the various data analysis techniques using R in a practical way. Those looking for quick, handy solutions to common tasks and challenges in data analysis will find this book to be very useful. Basic knowledge of statistics and R programming is assumed.

Table of Contents

  1. Acquire and Prepare Your Ingredients- Your Data
  2. What's in There - Exploratory Data Analysis
  3. Where does it belong- Classification
  4. Give me a number - Regression
  5. Can you simplify that - Data Reduction Techniques
  6. Lessons from history - Time Series Anlalysis
  7. How does it looks - Advanced Data Visualization
  8. This may also interest you - Building Recommendations
  9. It's all about your connections - Social Network Analysis
  10. Put your best forward - Document and Present your Analysis
  11. Work Smarter, Not Harder - Efficent and Elegant R code
  12. Where in The World? Geospatial Analysis
  13. Playing nice - connecting to other Systems
https://github.com/packtpublishing/r-data-analysis-cookbook-second-edition
PDF ISBN: 978-1-78712-531-5
Publisher: Packt Publishing Limited
Copyright owner: © 2017 Packt Publishing Limited
Publication date: 2025
Language: English
Pages: 560
Related subjects:
Computer sciences,
Databases and data mining

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