An Introduction to Data Visualization in R using ggplot

An Introduction to Data Visualization in R using ggplot, available at $19.99, has an average rating of 4.15, with 39 lectures, 1 quizzes, based on 42 reviews, and has 918 subscribers.

You will learn about 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 This course is ideal for individuals who are Students, professionals, entrepeneurs or anyone interested in preparing enhanced graphs and plots It is particularly useful for Students, professionals, entrepeneurs or anyone interested in preparing enhanced graphs and plots.

Enroll now: An Introduction to Data Visualization in R using ggplot

Summary

Title: An Introduction to Data Visualization in R using ggplot

Price: $19.99

Average Rating: 4.15

Number of Lectures: 39

Number of Quizzes: 1

Number of Published Lectures: 39

Number of Published Quizzes: 1

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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 correlationsand geographical data in this course.

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

Happy Plotting!

Course Curriculum

Chapter 1: Introduction and Data/R Basics

Lecture 1: Course Introduction

Lecture 2: Course Introduction (Slides Only)

Lecture 3: Sample Plots

Lecture 4: How to choose the right chart type

Lecture 5: How to choose the right chart type (Slides Only)

Lecture 6: Data Frames in R

Lecture 7: Data Frames in R (Slides Only)

Lecture 8: Getting data into R

Lecture 9: Getting your data into R (Slides Only)

Chapter 2: Getting Started with ggplot

Lecture 1: Introduction to plotting with ggplot

Lecture 2: Introduction to plotting with ggplot (Slides Only)

Lecture 3: Using themes in ggplot

Lecture 4: Using themes in ggplot (Slides Only)

Chapter 3: Data Sets used in this Course

Lecture 1: Data Sets used in this course

Lecture 2: Data sets used in this course (Slides Only)

Lecture 3: Diabetes dataset

Lecture 4: Elections dataset

Chapter 4: Bar plots in R

Lecture 1: Bar plots with ggplot

Lecture 2: Bar plots with ggplot (Slides Only)

Chapter 5: Pie Charts in R

Lecture 1: Pie charts with ggplot

Lecture 2: Pie Charts with ggplot (Slides Only)

Chapter 6: Boxplots in R

Lecture 1: Box Plots with ggplot

Lecture 2: Box plots with ggplot (Slides Only)

Chapter 7: Line Plots in R

Lecture 1: Line plots with ggplot

Lecture 2: Line Plots in ggplot (Slides Only)

Chapter 8: Scatter plots in R

Lecture 1: Scatter plots with ggplot

Lecture 2: Scatter plots in R (Slides Only)

Chapter 9: Geographical Data in R

Lecture 1: Maps with ggplot

Lecture 2: Maps with ggplot (Slides Only)

Chapter 10: Course Summary

Lecture 1: Course Summary

Lecture 2: Course Summary (Slides Only)

Chapter 11: R SCRIPTS

Lecture 1: ggplot_demo.R

Lecture 2: ggplot_themes.R

Lecture 3: bar_plots.R

Lecture 4: pie_charts.R

Lecture 5: box_plots.R

Lecture 6: scatter_plots.R

Lecture 7: line_plots.R

Lecture 8: maps.R

Instructors

Sophia Banton
Data Scientist

Rating Distribution

1 stars: 4 votes
2 stars: 3 votes
3 stars: 9 votes
4 stars: 12 votes
5 stars: 14 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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