An Introduction to Data Visualization in R using ggplot

Name: An Introduction to Data Visualization in R using ggplot
Rating: 3.9 (42 reviews)

Make beautiful plots and graphs using the open source R programming language

Created bySophia Banton

Last updated 6/2015

English

English [Auto],

What you'll 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

Course content

11 sections • 39 lectures • 4h 58m total length

Course Introduction4:15
This lecture provides you with an overview of the course.
Course Introduction (Slides Only)6:00
This lecture provides you with an overview of the course.
Sample Plots14:00
Examples of plots created in this course.
How to choose the right chart type10:19
This lecture provides tips on using the right chart type to visualize your data.
How to choose the right chart type (Slides Only)10:00
This lecture provides tips on using the right chart type to visualize your data.
Data Frames in R14:33
The lecture provides a tutorial on how to access and use data frames in R.
Data Frames in R (Slides Only)8:00
The lecture provides a tutorial on how to access and use data frames in R.
Getting data into R14:40
This lecture shows you how to load data frames into R.
Getting your data into R (Slides Only)5:00
This lecture shows you how to load data frames into R.
Course Introduction and Course Basics Quiz

Introduction to plotting with ggplot13:59
This lecture introduces you to the process of creating plots using the ggplot library.
Introduction to plotting with ggplot (Slides Only)8:00
This lecture introduces you to the process of creating plots using the ggplot library.
Using themes in ggplot12:39
This lecture introduces you to the process of creating themes for your plots using the ggplot library.
Using themes in ggplot (Slides Only)5:00
This lecture introduces you to the process of creating themes for your plots using the ggplot library.

Data Sets used in this course3:37
A quick overview of the data sets used to create the plots in this course.
Data sets used in this course (Slides Only)4:00
A quick overview of the data sets used to create the plots in this course.
Diabetes dataset0:02
Please download this free and reusable dataset to practice your exercises.
Elections dataset0:02
Please download this free and reusable dataset to practice your exercises.

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 this course is for:

Students, professionals, entrepeneurs or anyone interested in preparing enhanced graphs and plots

An Introduction to Data Visualization in R using ggplot

What you'll learn

Explore related topics

Course content

Introduction and Data/R Basics9 lectures • 1hr 27min

Getting Started with ggplot4 lectures • 40min

Data Sets used in this Course4 lectures • 8min

Bar plots in R2 lectures • 27min

Pie Charts in R2 lectures • 23min

Boxplots in R2 lectures • 23min

Line Plots in R2 lectures • 21min

Scatter plots in R2 lectures • 20min

Geographical Data in R2 lectures • 27min

Course Summary2 lectures • 8min

Requirements

Description

Who this course is for: