Beginning Data Visualization with R

Learn how to create data visualizations with R in order to answer questions about your data.
Course info
Rating
(53)
Level
Beginner
Updated
March 11, 2016
Duration
3h 1m
Table of contents
Description
Course info
Rating
(53)
Level
Beginner
Updated
March 11, 2016
Duration
3h 1m
Description

R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for creating a wide variety of data visualizations. In this course, you will learn how to answer questions about your data by creating data visualizations with R.

About the author
About the author

Matthew is a data science consultant, author, and international public speaker. He has over 17 years of professional experience working with tech startups to Fortune 500 companies. He is a Microsoft MVP, ASPInsider, and open-source software contributor.

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Transcript
Transcript

Hi, I’m Matthew Renze, with Pluralsight, and welcome to Beginning Data Visualization with R.

R is a very popular programming language for data analysis and data visualization.

Its interactive programming capabilities, powerful data analysis tools, and data visualization capabilities make it many experts first choice for creating professional data visualizations.

In this course, we’ll learn how to create and interpret data visualizations using the three main plotting systems in R (i.e. the base graphics system, Lattice, and ggplot2).

In addition, we’ll learn about best practices for creating professional data visualizations for a wide audience.

As an overview of this course:

  1. First, we’ll learn the basics of creating data visualizations with the three main plotting system in R.
  2. Next, we’ll learn how to create and interpret data visualizations that involve either one or two categorical or numeric variables.
  3. Finally, we’ll move beyond the basics and learn about more advanced data visualizations, best practices for creating professional data visualizations, and we’ll look at a few alternatives to using R to create our data visualizations

By the end of this course, you’ll have the skills necessary to create and interpret a variety of data visualizations using all three of the main plotting systems in R.

Before beginning the course you should be familiar with the basic syntax of R and the R Studio integrated development environment.

If you do not meet these prerequisites, please feel free to watch module 1 of my Exploratory Data Analysis with R course first. This module will cover all of the basics.

So please join us today at Pluralsight and learn how to transform your data into actionable insight with Beginning Data Visualization with R.