R Programming Fundamentals

Data analysis is crucial to accurately predict the performance of an application. The book begins by getting you started with R, including basic programming and data import, data visualization, pivoting, merging, aggregating, and joins. Once you are comfortable with the basics, you can read ahead and learn all about data visualization and ...

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Study data analysis and visualization to successfully analyze data with R

Key Features

Get to grips with data cleaning methods
Explore statistical concepts and programming in R, including best practices
Build a data science project with real-world examples

Book DescriptionR Programming Fundamentals, focused on R and the R ecosystem, introduces you to the tools for working with data. To start with, you’ll understand you how to set up R and RStudio, followed by exploring R packages, functions, data structures, control flow, and loops.

Once you have grasped the basics, you’ll move on to studying data visualization and graphics. You’ll learn how to build statistical and advanced plots using the powerful ggplot2 library. In addition to this, you’ll discover data management concepts such as factoring, pivoting, aggregating, merging, and dealing with missing values.

By the end of this book, you’ll have completed an entire data science project of your own for your portfolio or blog.

What you will learn

Use basic programming concepts of R such as loading packages, arithmetic functions, data structures, and flow control
Import data to R from various formats such as CSV, Excel, and SQL
Clean data by handling missing values and standardizing fields
Perform univariate and bivariate analysis using ggplot2
Create statistical summary and advanced plots such as histograms, scatter plots, box plots, and interaction plots
Apply data management techniques, such as factoring, pivoting, aggregating, merging, and dealing with missing values, on the example datasets

Who this book is forR Programming Fundamentals is for you if you are an analyst who wants to grow in the field of data science and explore the latest tools.