Learning R for Data Visualization
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VIDEO TUTORIAL Learning R for Data Visualization

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Get to grips with R’s most popular packages and functions to create interactive visualizations for the web

About This Learning R for Data Visualization Video course

  • Learn how to visualize data and import/export in CSV, TXT, and Excel formats
  • Develop a professionally-featured website using the best R has to offer
  • Focus on demonstrating customized visualization on your website

R video cours In Detail

R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level graphics, and machine learning. R gives aspiring analysts and data scientists the ability to represent complex sets of data in an impressive way.

The video course is structured in simple lessons so that the learning process feels like a step-by-step guide to plotting.

We start by importing data in R from popular formats such as CSV and Excel tables. Then you will learn how to create basic plots such as histograms, scatterplots, and more, with the default options, which guarantees stunning results.

The second part of the course is dedicated to interactive plots. Static plots, in fact, are extremely important for scientific manuscripts, but nowadays most of our work is done online on websites and blogs, where static plots do not harness the full potential of the technology. Interactive plots, on the other hand, can improve that and allow us to present our results in more appealing and informative ways, by using the native language of the web. Do not worry though, you will not need to learn an additional programming language because this course will show you how to create stunning web plots directly from R.

In the final part of the course, the Shiny package will be extensively discussed. This allows you to create fully-featured web pages directly from the R console, and Shiny also allows it to be uploaded to a live website where your peers and colleagues can browse it and you can share your work. You will see how to build a complete website to import and plot data, plus we will present a method to upload it for everybody to use. Finally, you will revise all the concepts you've learned while having some fun creating a complete website.

By the end of the course, you will have an armour full of different visualization techniques, with the capacity to apply these abilities to real-world data sets.

What will you learn in this course?

Course plan
Chapter 1
Introducing Scientific Plotting in R
Chapter 2
Scientific Plotting in ggplot2
Chapter 3
Customizing Plots
Chapter 4
Exporting Plots
Chapter 5
Interactive Plots in rCharts
Chapter 6
Creating a Website with Shiny

Detailed course plan

Chapter 1 : Introducing Scientific Plotting in R
Lesson 1The Course Overview
Lesson 2Preview of R Plotting Functionalities
Lesson 3Introducing the Dataset
Lesson 4Loading Tables and CSV Files
Lesson 5Loading Excel Files
Lesson 6Exporting Data
Chapter 2 : Scientific Plotting in ggplot2
Lesson 1Creating Histograms
Lesson 2The Importance of Box Plots
Lesson 3Plotting Bar Charts
Lesson 4Plotting Multiple Variables – Scatterplots
Lesson 5Dealing with Time – Time-series Plots
Lesson 6Handling Uncertainty
Chapter 3 : Customizing Plots
Lesson 1Changing Theme
Lesson 2Changing Colors
Lesson 3Modifying Axis and Labels
Lesson 4Adding Supplementary Elements
Lesson 5Adding Text Inside and Outside of the Plot
Lesson 6Multi-plots
Chapter 4 : Exporting Plots
Lesson 1Exporting Plots as Images
Lesson 2Adjusting the Page Size
Chapter 5 : Interactive Plots in rCharts
Lesson 1Getting Started with Interactive Plotting
Lesson 2Creating Interactive Histograms and Box Plots
Lesson 3Plotting Interactive Bar Charts
Lesson 4Creating Interactive Scatterplots
Lesson 5Developing Interactive Time-series Plots
Chapter 6 : Creating a Website with Shiny
Lesson 1Getting Started with Shiny
Lesson 2Creating a Simple Website
Lesson 3File Input
Lesson 4Conditional Panels – UI
Lesson 5Conditional Panels – Servers
Lesson 6Deploying the Site

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