R Programming Fundamentals

Study data analysis and visualization to successfully analyze data with RKey FeaturesGet to grips with data cleaning methodsExplore statistical concepts and programming in R including best practicesBuild a data science project with real-world examplesBook 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 learnUse basic programming concepts of R such as loading packages arithmetic functions data structures and flow controlImport data to R from various formats such as CSV Excel and SQLClean data by handling missing values and standardizing fieldsPerform univariate and bivariate analysis using ggplot2Create statistical summary and advanced plots such as histograms scatter plots box plots and interaction plotsApply data management techniques such as factoring pivoting aggregating merging and dealing with missing values on the example datasetsWho 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.