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Collin Paschall
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.
Read more
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.
Read more
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.
This course is the second in a specialization in Data Visualization offered by Johns Hopkins. It is intended for learners who have either have some experience with R and data wrangling in the tidyverse or have taken the previous course in the specialization. The focus in this course learning to use ggplot2 to make a variety of visualizations and to polish those visualizations using tools within ggplot as well as vector graphics editing software. The course will not go into detail about how the data management works behind the scenes.
Register for this course and see more details by visiting:
OpenCourser.com/course/m955ij/data
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What's inside
Syllabus
Introduction to the Grammar of Graphics
In this module, we will get started using ggplot2. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
Read more
Syllabus
Introduction to the Grammar of Graphics
In this module, we will get started using ggplot2. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
This course is designed to move learners from using R and the tidyverse for data wrangling to using ggplot2 for data visualization
Learners are expected to have previous experience with R and the tidyverse for data wrangling or complete the companion course in this specialization
The focus is on using ggplot2 for data visualization, with less emphasis on the data-wrangling techniques used to produce the data for the visualizations
A peer-reviewed assignment at the end of the course ensures that learners can apply the concepts learned
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Reviews summary
Mastering r's ggplot2 for data visualization
According to learners, this course offers a strong foundation in data visualization using R and ggplot2. Many praise the instructor's incredibly clear explanations and the course's hands-on, practical approach, which helps solidify understanding of the Grammar of Graphics. While highly recommended for data professionals, some students note that the course assumes a certain level of prior R experience, making it potentially challenging for true novices. The peer review assignment is frequently highlighted as a valuable and rewarding component, though its consistency can vary.
Opinions vary on depth for advanced vs. introductory users.
"My only minor gripe is that sometimes the pace felt a little slow if you already had some R background..."
"The course is decent but could be improved. The examples were sometimes too simple, and I wished for more complex scenarios to truly challenge my skills. It felt like a good introduction but not enough for advanced users."
"I would have liked more real-world datasets for practice, but the concepts are well-explained."
Final assignment offers rewarding, practical application.
"The final project was challenging but rewarding."
"The peer review system for the final assignment worked surprisingly well, providing valuable feedback."
"The final peer review assignment was a great way to consolidate my learning."
Course emphasizes practical application through coding.
"I especially appreciated the hands-on approach and how it built up from basic concepts to more complex plots."
"The examples were very practical, and I found myself applying the techniques immediately in my work."
"The hands-on coding challenges were a highlight for me."
Instructor provides highly clear and intuitive explanations.
"The instructor's explanations were incredibly clear, and the practical exercises truly helped solidify my understanding."
"The instructor breaks down complex concepts into manageable chunks. I especially liked the emphasis on the 'Grammar of Graphics,' which makes `ggplot2` much more intuitive."
"The 'Grammar of Graphics' introduction was brilliant – finally understood the logic behind ggplot2."
Requires prior R experience, challenging for true beginners.
"It also assumes a bit more R knowledge than I had, even though I took the prerequisite course. I had to consult outside resources frequently."
"The prerequisites were not sufficiently highlighted, and it definitely feels like it's for people who already have a strong grasp of R and programming logic. Not ideal for a novice."
"This course might be challenging for someone who is truly new to R, as it moves quickly."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Data Visualization in R with ggplot2 with these
activities:
Watch ggplot2 tutorials
Show steps
Watching ggplot2 tutorials will help you to learn the basics of data visualization in R, which is essential for success in this course.
Browse courses on
Ggplot2
Show steps
-
Find a ggplot2 tutorial.
-
Watch the tutorial.
-
Try out the examples in the tutorial.
Join a study group
Show steps
Joining a study group will help you to learn from your peers and get help with your assignments, which can improve your learning outcomes in this course.
Browse courses on
Data Visualization
Show steps
-
Find a study group to join.
-
Attend the study group meetings.
-
Participate in the discussions.
Read: Data Science for Business
Show steps
This book will provide you with a strong foundation in data science and data visualization, which will be essential for success in this course.
View
Data Science for Business: What You Need to...
on Amazon
Show steps
-
Read the first three chapters of the book.
-
Complete the exercises at the end of each chapter.
-
Summarize the key concepts from each chapter in your own words.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice ggplot2 exercises
Show steps
Practicing ggplot2 exercises will help you to improve your skills in data visualization, which is essential for success in this course.
Browse courses on
Ggplot2
Show steps
-
Find a dataset to visualize.
-
Create a ggplot2 plot of the data.
-
Add annotations and labels to the plot.
Volunteer at a data visualization event
Show steps
Volunteering at a data visualization event will help you to network with others in the field and learn about the latest trends, which can improve your learning outcomes in this course.
Browse courses on
Data Visualization
Show steps
-
Find a data visualization event to volunteer at.
-
Sign up to volunteer.
-
Attend the event and help out.
Create a data visualization dashboard
Show steps
Creating a data visualization dashboard will help you to practice your skills in ggplot2 and data visualization, which are essential for success in this course.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset to visualize.
-
Create a ggplot2 plot of the data.
-
Add annotations and labels to the plot.
-
Export the plot to a dashboard.
Participate in a data visualization competition
Show steps
Participating in a data visualization competition will help you to test your skills and learn from others, which can improve your learning outcomes in this course.
Browse courses on
Data Visualization
Show steps
-
Find a data visualization competition to participate in.
-
Submit your data visualization.
-
Get feedback on your submission.
Create a data visualization portfolio
Show steps
Creating a data visualization portfolio will help you to showcase your skills and prepare for your career, which can improve your learning outcomes in this course.
Browse courses on
Data Visualization
Show steps
-
Gather your best data visualizations.
-
Create a website or online portfolio to showcase your work.
-
Share your portfolio with others.
Watch ggplot2 tutorials
Show steps
Watching ggplot2 tutorials will help you to learn the basics of data visualization in R, which is essential for success in this course.
Browse courses on
Ggplot2
Show steps
Show steps
Show steps
- Find a ggplot2 tutorial.
- Watch the tutorial.
- Try out the examples in the tutorial.
Join a study group
Show steps
Joining a study group will help you to learn from your peers and get help with your assignments, which can improve your learning outcomes in this course.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find a study group to join.
- Attend the study group meetings.
- Participate in the discussions.
Read: Data Science for Business
Show steps
This book will provide you with a strong foundation in data science and data visualization, which will be essential for success in this course.
View
Data Science for Business: What You Need to...
on Amazon
Show steps
Show steps
Show steps
- Read the first three chapters of the book.
- Complete the exercises at the end of each chapter.
- Summarize the key concepts from each chapter in your own words.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice ggplot2 exercises
Show steps
Practicing ggplot2 exercises will help you to improve your skills in data visualization, which is essential for success in this course.
Browse courses on
Ggplot2
Show steps
Show steps
Show steps
- Find a dataset to visualize.
- Create a ggplot2 plot of the data.
- Add annotations and labels to the plot.
Volunteer at a data visualization event
Show steps
Volunteering at a data visualization event will help you to network with others in the field and learn about the latest trends, which can improve your learning outcomes in this course.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find a data visualization event to volunteer at.
- Sign up to volunteer.
- Attend the event and help out.
Create a data visualization dashboard
Show steps
Creating a data visualization dashboard will help you to practice your skills in ggplot2 and data visualization, which are essential for success in this course.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset to visualize.
- Create a ggplot2 plot of the data.
- Add annotations and labels to the plot.
- Export the plot to a dashboard.
Participate in a data visualization competition
Show steps
Participating in a data visualization competition will help you to test your skills and learn from others, which can improve your learning outcomes in this course.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find a data visualization competition to participate in.
- Submit your data visualization.
- Get feedback on your submission.
Create a data visualization portfolio
Show steps
Creating a data visualization portfolio will help you to showcase your skills and prepare for your career, which can improve your learning outcomes in this course.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather your best data visualizations.
- Create a website or online portfolio to showcase your work.
- Share your portfolio with others.
Career center
Learners who complete Data Visualization in R with ggplot2 will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts play a vital role in using data to drive business decisions. They collect, clean, and analyze data to identify trends and patterns. This course can help Data Analysts develop the skills they need to create effective data visualizations, which are essential for communicating insights to stakeholders. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, Data Analysts can improve their ability to communicate their findings and make a greater impact on their organization.
Data Scientist
Data Scientist
Data Scientists use data to solve problems. This often involves creating data visualizations to communicate insights to stakeholders. This course can help Data Scientists develop the skills they need to create effective data visualizations. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, Data Scientists can improve their ability to communicate their findings and make a greater impact on their organization.
Market Researcher
Market Researcher
Market Researchers collect and analyze data to understand consumer behavior. This information is used to develop marketing campaigns and strategies. This course can help Market Researchers develop the skills they need to create effective data visualizations. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, Market Researchers can improve their ability to communicate their findings and make a greater impact on their organization.
Business Analyst
Business Analyst
Business Analysts use data to analyze business processes and identify areas for improvement. This course can help Business Analysts develop the skills they need to create effective data visualizations. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, Business Analysts can improve their ability to communicate their findings and make a greater impact on their organization.
Financial Analyst
Financial Analyst
Financial Analysts use data to analyze financial performance and make investment recommendations. This course can help Financial Analysts develop the skills they need to create effective data visualizations. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, Financial Analysts can improve their ability to communicate their findings and make a greater impact on their organization.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. This information is used to make informed decisions in a variety of fields. This course can help Statisticians develop the skills they need to create effective data visualizations. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, Statisticians can improve their ability to communicate their findings and make a greater impact on their organization.
Data Engineer
Data Engineer
Data Engineers design and build systems for storing and processing data. This course can help Data Engineers develop the skills they need to create effective data visualizations. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, Data Engineers can improve their ability to communicate their findings and make a greater impact on their organization.
Database Administrator
Database Administrator
Database Administrators manage databases and ensure that data is stored and processed efficiently. This course can help Database Administrators develop the skills they need to create effective data visualizations. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, Database Administrators can improve their ability to communicate their findings and make a greater impact on their organization.
Software Engineer
Software Engineer
Software Engineers design and develop software applications. This course can help Software Engineers develop the skills they need to create effective data visualizations. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, Software Engineers can improve their ability to communicate their findings and make a greater impact on their organization.
Web Developer
Web Developer
Web Developers design and develop websites. This course can help Web Developers develop the skills they need to create effective data visualizations. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, Web Developers can improve their ability to communicate their findings and make a greater impact on their organization.
Graphic Designer
Graphic Designer
Graphic Designers create visual content for a variety of purposes. This course can help Graphic Designers develop the skills they need to create effective data visualizations. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, Graphic Designers can improve their ability to communicate their findings and make a greater impact on their organization.
UX Designer
UX Designer
UX Designers design user experiences for websites and apps. This course can help UX Designers develop the skills they need to create effective data visualizations. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, UX Designers can improve their ability to communicate their findings and make a greater impact on their organization.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course can help Product Managers develop the skills they need to create effective data visualizations. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, Product Managers can improve their ability to communicate their findings and make a greater impact on their organization.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for the development and execution of marketing campaigns. This course can help Marketing Managers develop the skills they need to create effective data visualizations. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, Marketing Managers can improve their ability to communicate their findings and make a greater impact on their organization.
Consultant
Consultant
Consultants provide advice to businesses and organizations on a variety of topics. This course can help Consultants develop the skills they need to create effective data visualizations. The course covers a variety of topics related to data visualization, including the Grammar of Graphics, different types of visualizations, and how to refine plots. By taking this course, Consultants can improve their ability to communicate their findings and make a greater impact on their organization.
For more career information including salaries, visit:
OpenCourser.com/course/m955ij/data
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Visualization in R with ggplot2.
Comprehensive guide to using ggplot2, the most popular data visualization package for R. It covers all aspects of ggplot2, from the basics to advanced techniques, making it an invaluable resource for anyone using ggplot2 for data visualization.
Save
Provides a comprehensive introduction to R for data science. It covers all aspects of R, from data wrangling to data visualization, making it an invaluable resource for anyone using R for data science.
Save
Provides an advanced introduction to R. It covers advanced topics such as object-oriented programming, functional programming, and data visualization, making it a useful resource for anyone wanting to learn more about R.
Save
Comprehensive reference for R. It covers all aspects of R, from the basics to advanced topics, making it a useful resource for anyone using R.
Provides a practical guide to choosing the right data visualization for your data. It covers the different types of data visualizations and how to use them effectively, making it a useful resource for anyone interested in data visualization.
Provides a practical introduction to data visualization using Python and JavaScript. It covers the basics of data visualization and how to use Python and JavaScript to create data visualizations, making it a useful resource for anyone interested in data visualization using Python and JavaScript.
Provides a practical introduction to interactive data visualization for the web. It covers the basics of interactive data visualization and how to use JavaScript to create interactive data visualizations, making it a useful resource for anyone interested in interactive data visualization for the web.
Provides a practical introduction to data visualization using D3.js. It covers the basics of data visualization and how to use D3.js to create data visualizations, making it a useful resource for anyone interested in data visualization using D3.js.
Provides a practical introduction to data visualization using Processing. It covers the basics of data visualization and how to use Processing to create data visualizations, making it a useful resource for anyone interested in data visualization using Processing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/m955ij/data
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Johns Hopkins University
Instructor
Collin Paschall
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This course belongs to a
collection
called
Data Visualization & Dashboarding with R. It's comprised of five courses:
- Getting Started with Data Visualization in R
- Data Visualization Capstone
- Data Visualization in R with ggplot2 (viewing)
- Advanced Data Visualization with R
- Publishing Visualizations in R with Shiny and flexdashboard
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