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Applied Data Visualization with R and ggplot2 [Instructor Edition]

By : Dr. Tania Moulik

Buy this Book

Applied Data Visualization with R and ggplot2 [Instructor Edition]

By: Dr. Tania Moulik

Buy this Book

Overview of this book

This course introduces you to the world of data visualization by talking about the basic features of ggplot2. Learn all about setting up the R environment and then begin exploring the features of ggplot2. Grammar of graphics and geometric objects are the fundamentals you must know before you dive deep into the plotting techniques. Read and discover what are layers, scales, coordinates, and themes, and explore how you can use them to transform your data into aesthetical graphs. Learn the simple plots, such as histograms, and then some advanced plots, such as superimposing plots and density plots. Learn to plot trends, correlations, and statistical summaries. After reading this course, your data visualizations will wow clients.

Preface

Who This Book Is For

What This Book Covers

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Free Chapter

Basic Plotting in ggplot2

Introduction to ggplot2

Geometric Objects

The Grammar of Graphics

Summary

Grammar of Graphics and Visual Components

Chapter 1: Basic Plotting in ggplot2

The following are the activity solutions for this chapter.

Activity: Creating a Histogram and Explaining its Features

Steps for Completion:

Use the template code Lesson1_student.R.

This is an empty code, wherein the libraries are already loaded. You will be writing your code here.

Load the dataset temperature.csv from the directory data.
Create the histogram for two cities (Vancouver and Miami) by using the command discussed previously.
Once the histogram is ready, run the code.
Analyze the two histograms by giving three points for each histogram, and two points of difference between the two.

Outcome:

Two histograms should be created and compared...

Tech Concepts

Programming languages

Tech Tools