Kaelen Medeiros - R Programming Fundamentals: Deal with data using various modeling techniques

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First published: September 2018

Production reference: 2290719

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Kaelen Medeiros is a content quality developer at DataCamp, where she works to improve course content and tracks quality metrics across the company. She also works as a data scientist/developer for HealthLabs, who develop automated methods for analyzing large amounts of medical data. She received her MS in biostatistics from Louisiana State University Health Sciences Center in 2016. Outside of work, she has one cat, listens to way too many podcasts, and enjoys running.

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Demand for data scientists is growing exponentially and demand in the US is expected to increase by 28 percent by the year 2020, with this trend reflected across the world. R is a tool often used by data scientists to clean, examine, analyze, and report on data. It is a great starting point for those familiar with analysis in Excel or MS SQL and is an excellent place to begin to learn programming fundamentals.

This book begins by addressing the setup of R and RStudio on the machine and progresses from there, demonstrating how to import datasets, clean them, and explore their contents. It balances theory and exercises, and contains multiple open-ended activities that use real-life business scenarios for you to practice and apply your newly acquired skills in a highly relevant context. We have included over 50 practical activities and exercises across 11 topics , along with a mini project that will allow you to begin your data science project portfolio. With this book, we have created a definitive guide to beginning data science in R.

This book is for analysts who are looking to grow their data science skills beyond the tools they have used before, such as MS Excel and other statistical tools.

, Introduction to R , deals with installation of R, RStudio, and other useful packages, and talks about variable types and data structures. The chapter then introduces the different kinds of loops that can be used in R, explains how to import and export data, and also talks about getting help with R programming.

, Data Visualization and Graphics , covers the basic plots built into R and how to create them, and then introduces ggplot, a popular graphics package in R. Finally, the chapter briefly talks about two tools, Shiny and Plotly, that can be used to design interactive plots.

, Data Management , discusses how to create and manipulate factor variables, examine data using tables, apply the family of functions to generate summaries, and split, combine, merge, or join datasets in R.

The Appendix contains the solutions to all the activities within the chapters.

You will require a computer system with at least an i3 processor, 2 GB RAM, 10 GB of s torage space, and an internet connection. Along with this, you would require the following software:

1. Operating System: Windows 8 64-bit
2. R and Rstudio
3. Browsers (Google Chrome and Mozilla Firefox - latest versions)

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