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Data Visualization using dplyr and ggplot2 in R

Arimoro Olayinka Imisioluwa

Welcome to this project-based course Data Visualization using ggplot2 and dplyr in R. In this project, you will learn how to manipulate data with the dplyr package and create beautiful plots using the ggplot2 package in R.

By the end of this 2-hour long project, you will understand how to use different dplyr verbs such as the select verb, filter verb, arrange verb, mutate verb, summarize verb, and the group_by verb to manipulate the gapminder dataset. You will also learn how to use the ggplot2 package to render beautiful plots from the data returned from using the dplyr verbs.

Read more

Welcome to this project-based course Data Visualization using ggplot2 and dplyr in R. In this project, you will learn how to manipulate data with the dplyr package and create beautiful plots using the ggplot2 package in R.

By the end of this 2-hour long project, you will understand how to use different dplyr verbs such as the select verb, filter verb, arrange verb, mutate verb, summarize verb, and the group_by verb to manipulate the gapminder dataset. You will also learn how to use the ggplot2 package to render beautiful plots from the data returned from using the dplyr verbs.

Note that this is a follow-up to the project on Data Manipulation with dplyr in R. I recommend that you take the Data Manipulation with dplyr in R project before taking this project. This will give you better experience working on this project.

Enroll now

What's inside

Syllabus

Project Overview
Welcome to this project-based course Data Visualization using ggplot2 and dplyr in R. In this project, you will learn how to manipulate data with the dplyr package and create beautiful plots using the ggplot2 package in R. By the end of this 2-hour long project, you will understand how to use different dplyr verbs such as the select verb, filter verb, arrange verb, mutate verb, summarize verb, and the group_by verb to manipulate the gapminder dataset. You will also learn how to use the ggplot2 package to render beautiful plots from the data returned from using the dplyr verbs. Note that this is a follow-up to the project on Data Manipulation with dplyr in R. I recommend that you take the Data Manipulation with dplyr in R project before taking this project. This will give you better experience working on this project.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops practical data manipulation and visualization skills using dplyr and ggplot2, tools used in industry and data analysis roles
Taught by experienced instructors who are recognized for their work in data analysis and visualization
Suitable for learners with basic knowledge of R and data manipulation, making it accessible to data enthusiasts and aspiring data analysts
Provides a hands-on approach with a project-based format, allowing learners to apply their skills and gain practical experience
Builds upon the Data Manipulation with dplyr in R project, providing a clear progression for learners
Requires learners to complete the Data Manipulation with dplyr in R project first, which may be a limitation for some

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Reviews summary

Practice-heavy visualizations with r <span>ggplot</span>

Learners say this course provides great instruction and engaging assignments for practicing ggplot visualizations in R. Students largely positive about the instructor and the structure of the project. Some feedback indicates course material may need updating.
Instructor is great
"Great instructor."
"Really solid explanation."
Course is well structured and easy to follow
"This was a very well structured and easy to follow project."
Course provides lots of practice
"Great instruction, lots of practice. "
Course material may need updating
"Great instructor. The course material may need some updating to reflect updates in dplyr. "

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 using dplyr and ggplot2 in R with these activities:
Review the book 'ggplot2: Elegant Graphics for Data Analysis'
Reading 'ggplot2: Elegant Graphics for Data Analysis' will provide you with a comprehensive overview of the ggplot2 package and help you create beautiful and informative data visualizations.
View Advanced R, Second Edition (Chapman & Hall/CRC... on Amazon
Show steps
  • Read the book.
  • Take notes on the key concepts.
  • Try out the examples in the book.
  • Create your own plots using ggplot2.
  • Share your plots with others.
Refresh your knowledge of R programming
Refreshing your knowledge of R programming will help you prepare for this course and make it easier to learn ggplot2.
Browse courses on R Programming
Show steps
  • Review the basics of R programming.
  • Practice writing R code.
  • Complete some R programming exercises.
  • Create a small R programming project.
Start a project to track your progress
Starting a project to track your progress will help you stay motivated and see how far you've come. It will also provide you with a valuable record of your learning journey.
Show steps
  • Choose a project topic.
  • Set up a project plan.
  • Start working on your project.
  • Track your progress regularly.
  • Share your progress with others.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a study group or online forum for ggplot2
Joining a study group or online forum will provide you with opportunities to connect with other learners, ask questions, and share your knowledge.
Browse courses on Ggplot2
Show steps
  • Find a study group or online forum for ggplot2.
  • Introduce yourself and share your goals.
  • Participate in discussions and ask questions.
  • Help other learners.
  • Share your own knowledge and experience.
Practice plotting with ggplot2
Practice creating different types of plots using the ggplot2 package will help you solidify your understanding of data visualization techniques.
Browse courses on Ggplot2
Show steps
  • Select a dataset and explore its contents.
  • Create a scatter plot of two numerical variables.
  • Create a bar chart of a categorical variable.
  • Create a histogram of a numerical variable.
  • Create a line plot of a time series.
Follow tutorials on advanced ggplot2 techniques
Following tutorials on advanced ggplot2 techniques will help you expand your knowledge of data visualization and create more complex and informative plots.
Browse courses on Ggplot2
Show steps
  • Find tutorials on advanced ggplot2 techniques.
  • Follow the tutorials and experiment with the techniques.
  • Create your own plots using the advanced techniques.
  • Share your plots with others.
Create a data visualization dashboard
Creating a data visualization dashboard will help you apply the skills you have learned in the course to a real-world problem.
Browse courses on Data Visualization
Show steps
  • Choose a dataset and define the scope of your dashboard.
  • Design the layout of your dashboard.
  • Create the individual visualizations for your dashboard.
  • Assemble the visualizations into a dashboard.
  • Present your dashboard to others.
Create a blog or video series about data visualization
Creating a blog or video series about data visualization will help you solidify your understanding of the concepts and share your knowledge with others.
Browse courses on Data Visualization
Show steps
  • Choose a topic for your blog or video series.
  • Create an outline for your content.
  • Write or record your content.
  • Edit and polish your content.
  • Publish your content.

Career center

Learners who complete Data Visualization using dplyr and ggplot2 in R will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be essential for success in this role. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
See salaries and explore the career path for Data Analyst
Data Scientist
Data Scientists use their expertise in statistics, programming, and data analysis to solve complex business problems. This course will help you build a strong foundation in data visualization, which is a critical skill for Data Scientists. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
See salaries and explore the career path for Data Scientist
Business Analyst
Business Analysts use data to help businesses improve their operations and make better decisions. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be essential for success in this role. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
See salaries and explore the career path for Business Analyst
Market Researcher
Market Researchers use data to understand consumer behavior and trends. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be essential for success in this role. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
See salaries and explore the career path for Market Researcher
Financial Analyst
Financial Analysts use data to make sound investment decisions. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be essential for success in this role. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
See salaries and explore the career path for Financial Analyst
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of organizations. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be essential for success in this role. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
See salaries and explore the career path for Operations Research Analyst
Statistician
Statisticians use data to make informed decisions about a wide range of topics. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be essential for success in this role. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
See salaries and explore the career path for Statistician
Data Engineer
Data Engineers are responsible for building and maintaining the infrastructure that supports data analysis. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be essential for success in this role. You'll learn how to use dplyr to manipulate data and ggplot2 to create beautiful plots that communicate your findings clearly and effectively.
See salaries and explore the career path for Data Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be helpful in this role, as many software applications require data visualization capabilities.
See salaries and explore the career path for Software Engineer
Web Developer
Web Developers design and develop websites. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be helpful in this role, as many websites require data visualization capabilities.
See salaries and explore the career path for Web Developer
Product Manager
Product Managers are responsible for the development and launch of new products. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be helpful in this role, as many products require data visualization capabilities.
See salaries and explore the career path for Product Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be helpful in this role, as many marketing campaigns require data visualization capabilities.
See salaries and explore the career path for Marketing Manager
Sales Manager
Sales Managers are responsible for leading and motivating sales teams. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be helpful in this role, as many sales teams use data visualization to track their progress and identify opportunities.
See salaries and explore the career path for Sales Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products or services. The skills you'll learn in this course on data visualization with dplyr and ggplot2 in R will be helpful in this role, as many customer success teams use data visualization to track customer satisfaction and identify areas for improvement.
See salaries and explore the career path for Customer Success Manager

Reading list

We've selected six 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 using dplyr and ggplot2 in R.
Cover image
Advanced R, Second Edition
Save
Definitive guide to ggplot2, a powerful data visualization library in R. It provides a detailed overview of the ggplot2 grammar of graphics, as well as practical guidance on creating effective visualizations. It is an essential resource for anyone who wants to learn ggplot2 or improve their data visualization skills.
Advanced R, Second Edition (Chapman & Hall/CRC The...
Paperback
$$$
Advanced R, Second Edition (Chapman & Hall/CRC The...
Kindle Edition
$$$
Cover image
The Economics of Data, Analytics, and Digital...
Save
Provides a comprehensive introduction to data visualization, covering the fundamentals of data visualization, including data exploration, choosing the right chart type, and creating effective visualizations. It is particularly useful for those who are new to data visualization or want to improve their skills.
The Economics of Data, Analytics, and Digital...
Kindle Edition
$$
Cover image
R Packages
Save
Provides a comprehensive guide to advanced R programming. It covers topics such as data manipulation, data analysis, and data visualization. It valuable resource for anyone who wants to learn advanced R programming or improve their data science skills.
R Packages
Paperback
Check
R Packages
Kindle Edition
Check
Cover image
R for Data Science
Save
Provides a comprehensive introduction to R, a powerful programming language for data science. It covers the basics of R, including data structures, data manipulation, and data visualization. It valuable resource for anyone who wants to learn R or improve their data science skills.
R for Data Science: Import, Tidy, Transform,...
Paperback
$$
(Deutsch) R für Data Science: Daten importieren, bereinigen,...
Kindle Edition
$$$
Cover image
The Big Book of Dashboards
Save
Provides a comprehensive introduction to data visualization with Tableau. It covers the basics of data visualization, including data exploration, choosing the right chart type, and creating effective visualizations. It valuable resource for anyone who wants to learn data visualization with Tableau or improve their data science skills.
The Big Book of Dashboards: Visualizing Your Data...
Paperback
$$
The Big Book of Dashboards: Visualizing Your Data...
Kindle Edition
$$
Cover image
Confident Data Skills
Save
Provides a comprehensive introduction to data visualization. It covers the basics of data visualization, including data exploration, choosing the right chart type, and creating effective visualizations. It valuable resource for anyone who wants to learn data visualization or improve their data science skills.
Confident Data Skills: How to Work with Data and...
Paperback
$$
Confident Data Skills: Master the Fundamentals of...
Paperback
$$
Confident Data Skills: How to Work with Data and...
Kindle Edition
$

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Course image
Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Arimoro Olayinka Imisioluwa
Language
English
Good to know
Develops practical data manipulation and visualization skills using dplyr and ggplot2, tools used in industry and data analysis roles
Taught by experienced instructors who are recognized for their work in data analysis and visualization
Suitable for learners with basic knowledge of R and data manipulation, making it accessible to data enthusiasts and aspiring data analysts
Provides a hands-on approach with a project-based format, allowing learners to apply their skills and gain practical experience
Builds upon the Data Manipulation with dplyr in R project, providing a clear progression for learners
Requires learners to complete the Data Manipulation with dplyr in R project first, which may be a limitation for some
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