An Introduction to Data Visualization in R using ggplot
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An Introduction to Data Visualization in R using ggplot

Make beautiful plots and graphs using the open source R programming language
4.1 (11 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
792 students enrolled
Created by Sophia Banton
Last updated 6/2015
English
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Includes:
  • 3 hours on-demand video
  • 10 Articles
  • 15 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Prepare plots and graphs using R
  • Create colorful maps in R
  • Use the ggplot library in R to create high quality images
  • Export plots as image files and PDFs
View Curriculum
Requirements
  • Download the latest version of R
Description

How we represent our data is often as important as the quality of the data itself. In this course, you will learn how to make functional and elegant plots using the R language. R is a free/open source programming language that has become very popular in academia and among data scientists across all disciplines.

In this course, you will learn how to quickly make publication worthy

  • Bar plots
  • Scatter plots
  • Line plots
  • Pie charts
  • Geographical maps
  • and more...

You will also learn how to show trends over time and how to plot correlations and geographical data in this course.

This course is intended for students, professional, entrepeneurs and everyone in between.

Happy Plotting!


Who is the target audience?
  • Students, professionals, entrepeneurs or anyone interested in preparing enhanced graphs and plots
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Curriculum For This Course
Expand All 39 Lectures Collapse All 39 Lectures 04:58:37
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Introduction and Data/R Basics
9 Lectures 43:47

This lecture provides you with an overview of the course.

Preview 04:15

This lecture provides you with an overview of the course.

Course Introduction (Slides Only)
6 pages

Examples of plots created in this course.

Preview 14 pages

This lecture provides tips on using the right chart type to visualize your data.

How to choose the right chart type
10:19

This lecture provides tips on using the right chart type to visualize your data.

How to choose the right chart type (Slides Only)
10 pages

The lecture provides a tutorial on how to access and use data frames in R.

Data Frames in R
14:33

The lecture provides a tutorial on how to access and use data frames in R.

Data Frames in R (Slides Only)
8 pages

This lecture shows you how to load data frames into R.

Getting data into R
14:40

This lecture shows you how to load data frames into R.

Getting your data into R (Slides Only)
5 pages

Course Introduction and Course Basics Quiz
5 questions
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Getting Started with ggplot
4 Lectures 26:38

This lecture introduces you to the process of creating plots using the ggplot library.

Preview 13:59

This lecture introduces you to the process of creating plots using the ggplot library.

Introduction to plotting with ggplot (Slides Only)
8 pages

This lecture introduces you to the process of creating themes for your plots using the ggplot library.

Preview 12:39

This lecture introduces you to the process of creating themes for your plots using the ggplot library.

Using themes in ggplot (Slides Only)
5 pages
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Data Sets used in this Course
4 Lectures 03:38

A quick overview of the data sets used to create the plots in this course.

Data Sets used in this course
03:37

A quick overview of the data sets used to create the plots in this course.

Data sets used in this course (Slides Only)
4 pages

Please download this free and reusable dataset to practice your exercises.

Diabetes dataset
00:00

Please download this free and reusable dataset to practice your exercises.

Elections dataset
00:00
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Bar plots in R
2 Lectures 19:03

You will be able to create bar plots using ggplot at the end of this lecture.

Bar plots with ggplot
19:03

You will be able to create bar plots using ggplot at the end of this lecture.

Bar plots with ggplot (Slides Only)
8 pages
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Pie Charts in R
2 Lectures 16:46

You will be able to create pie graphs using ggplot at the end of this lecture.

Pie charts with ggplot
16:46

You will be able to create pie graphs using ggplot at the end of this lecture.

Pie Charts with ggplot (Slides Only)
6 pages
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Boxplots in R
2 Lectures 17:24

You will be able to create box plots using ggplot at the end of this lecture.

Preview 17:24

You will be able to create box plots using ggplot at the end of this lecture.

Box plots with ggplot (Slides Only)
6 pages
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Line Plots in R
2 Lectures 15:25

You will be able to create line plots using ggplot at the end of this lecture.

Preview 15:25

You will be able to create line plots using ggplot at the end of this lecture.

Line Plots in ggplot (Slides Only)
6 pages
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Scatter plots in R
2 Lectures 14:27

You will be able to create scatter plots using ggplot at the end of this lecture.

Scatter plots with ggplot
14:27

You will be able to create scatter plots using ggplot at the end of this lecture.

Scatter plots in R (Slides Only)
6 pages
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Geographical Data in R
2 Lectures 19:37

You will be able to create maps using ggplot at the end of this lecture.

Preview 19:37

You will be able to create maps using ggplot at the end of this lecture.

Maps with ggplot (Slides Only)
7 pages
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Course Summary
2 Lectures 02:38

Course Summary (Slides Only)
5 pages
1 More Section
About the Instructor
Sophia Banton
4.8 Average rating
23 Reviews
865 Students
2 Courses
Data Scientist

Following the completion of my Bachelor of Science degree in Biology, my initial intent was to pursue an MSc degree in Microbiology. However while registering for classes, I stumbled across a course entitled "Bioinformatics I" that was cross-listed in the Biology, Chemistry, and Computer Science departments. My academic life and career would never be the same. I enrolled in the course and within two weeks I notified my advisor that I wanted to major in Bioinformatics. I graduated with an MSc in Bioinformatics after completing a research project entitled "A bioinformatics analysis of sex determination and sexual differentiation in vertebrates." Since my graduation, I have also completed an MSE degree in Bioengineering and an additional of a degree in Biostatistics (Public Health). Professionally, I have worked as a bench scientist doing research on bacterial growth and mutations, as well as on viruses such as HCV and laboratory strains of HIV. I have also worked in parallel as a Biology instructor for several years teaching courses such as Microbiology, Human Anatomy and Physiology, and other courses in General Biology. I am currently employed as a Data Scientist in the pharmaceutical sector.

One of my greatest passions in life is supporting and enhancing scientific literacy among all age groups of students. I believe education is the great equalizer, and that education can take you anywhere and everywhere in life. My long-term vision is to create a non-profit organization that promotes education and literacy in my home country of Jamaica.

It is my hope that through my courses on Udemy that I am able to share my love for all things Biology and all things computing! I hope you enjoy my courses. Happy Learning!!