Data Analysis with R – Second Edition

With Data Analysis with R – Second Edition, analyze your data using R – the most powerful statistical programming language. Learn how to implement applied statistics using practical use-cases. Use popular R packages to work with unstructured and structured data. (Limited-time offer)

Table of Contents

• RefresheR
• The Shape of Data
• Describing Relationships
• Probability
• Using Data To Reason About The World
• Testing Hypotheses
• Bayesian Methods
• The Bootstrap
• Predicting Continuous Variables
• Predicting Categorical Variables
• Predicting Changes with Time
• Sources of Data
• Dealing with Missing Data
• Dealing with Messy Data
• Dealing with Large Data
• Working with Popular R Packages
• Reproducibility and Best Practices

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