Learn the Fundamentals of R

By Kristen Sosulski

PROFESSOR /  SPEAKER / CONSULTANT
About The Course

Here we are presenting you a series of tutorials about R. The tutorials will cover all the essential packages for making effective visuals. We’ll be talking about the concepts related to ggplot2 and ggvis packages in R, as well as the creation of Shiny applications. All these tutorial are very useful in making interactive maps. May be add more reasons they’re useful. Along with the tutorial, we will analyze a few online companies which are making use of R for the creation of visuals to make their working more efficient.

Design Of The Tutorial

This is the tutorial designed to guide you through the process of making interactive visuals. The tutorial has a series of 10 lectures which will cover the most useful packages, how to install those packages into R-Studio, and their methods to convert data into visuals. Happy Learning!

List of Tutorials Offered
Introduction to Using R for Data Visualization

This is an introduction to using R for Data Visualization. Because R is an open source language and an environment for statistical computing and graphics, it provides wide variety of techniques such as Linear and Non-Linear modeling. Many such interesting concepts related to R and Data Visualization are being discussed in the video and you will learn a lot when you go through it.

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ggplot2 Tutorial

ggplot2 is referred to as the grammar of graphics because it helps create graphics by breaking down the graphs into semantic components such as scales and layers. You will discover more interesting facts about the package once you watch this video.

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ggvis Tutorial

In this tutorial, you will learn how to make the above-mentioned graphs interactive using ggvis. Then we will discuss layered model prediction and by the end of the tutorial, we will explore all the different tools available to make interactive visuals.

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Exercise 1

Time for some exercise. Let’s brush up on the concept we went through. In this exercise, you need to solve 5-7 tasks based on what you learned in the previous tutorials.

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Exercise 2

Exercise 2 is based on Data Structures, Variables, and Data Types. It’s similar to the previous exercise: you will need to solve 5-7 tasks based on the concepts of previous tutorials. Good Luck!

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Exercise 3

This exercise is more focused on the concept of the graph. Included are 5 tasks that highlight each type of graphs. By the end of the exercise, you will have a better understanding of the concepts of making effective graphs in R.

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Exercise 4

Now let’s deal with some messy data. This exercise is meant to train you on how to deal with data that isn’t particularly neat. You will be provided with a messy data set and instructions on how to work with it. Using the procedures outlined in this tutorial, convert the messy data into a structured data-set.

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