Summary and Info
Key FeaturesAnalyse data with ready-to-use and customizable recipesDiscover convenient functions to speed-up your work and data filesExplore the leading R packages built for expert data analysisBook DescriptionData analysis has recently emerged as a very important focus for a huge range of organizations and businesses. R makes detailed data analysis easier, making advanced data exploration and insight accessible to anyone interested in learning it.This book empowers you by showing you ways to use R to generate professional analysis reports. It provides examples for various important analysis and machine-learning tasks that you can try out with associated and readily available data. The book also teaches you to quickly adapt the example code for your own needs and save yourself the time needed to construct code from scratch.What you will learnGet data into your R environment and prepare it for analysisPerform exploratory data analyses and generate meaningful visualizations of the dataApply several machine-learning techniques for classification and regressionGet your hands around large data sets with the help of reduction techniquesExtract patterns from time-series data and produce forecasts based on themLearn how to extract actionable information from social network dataImplement geospatial analysisPresent your analysis convincingly through reports and build an infrastructure to enable others to play with your dataAbout the AuthorViswa Viswanathan is an associate professor of Computing and Decision Sciences at the Stillman School of Business in Seton Hall University. After completing his PhD in artificial intelligence, Viswa spent a decade in academia and then switched to a leadership position in the software industry for a decade.Shanthi Viswanathan is an experienced technologist who has delivered technology management and enterprise architecture consulting to many enterprise customers. She has worked for Infosys Technologies, Oracle Corporation, and Accenture. As a consultant, Shanthi has helped several large organizations, such as Canon, Cisco, Celgene, Amway, Time Warner Cable, and GE among others, in areas such as data architecture and analytics, master data management, service-oriented architecture, business process management, and modeling.Table of ContentsAcquire and Prepare the Ingredients Your DataWhat's in There? Exploratory Data AnalysisWhere Does It Belong? ClassificationGive Me a Number RegressionCan You Simplify That? Data Reduction TechniquesLessons from History Time Series AnalysisIt's All about Your Connections Social Network AnalysisPut Your Best Foot Forward Document and Present Your AnalysisWork Smarter, Not Harder Efficient and Elegant R CodeWhere in the World? Geospatial AnalysisPlaying Nice Connecting to Other Systems
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