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R Data Analysis Cookbook - Second Edition

More Information
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
About

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.

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
Page Count 560
Course Length 16 hours 48 minutes
ISBN9781787124479
Date Of Publication 19 Sep 2017

Authors

Kuntal Ganguly

Kuntal Ganguly is a big data analytics engineer focused on building large-scale, data-driven systems using big data frameworks and machine learning. He has around 7 years experience of building big data and machine learning applications.

Kuntal provides solutions to cloud customers in building real-time analytics systems using managed cloud services and open source Hadoop ecosystem technologies such as Spark, Kafka, Storm, Solr, and so on, along with machine learning and deep learning frameworks.

Kuntal enjoys hands-on software development and has single-handedly conceived, architected, developed, and deployed several large-scale distributed applications.

He is a machine learning and deep learning practitioner and is very passionate about building intelligent applications.