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Creating Visualizations in R Using ggplot2
R Playbook
Emilee McWilliams
Emilee McWilliams
This course will teach you how to create visualizations for a variety of datasets. From box plots and bar charts to a scatter plot matrix and a geographic map, make an impact efficiently in businesses and organizations.
Read more
This course will teach you how to create visualizations for a variety of datasets. From box plots and bar charts to a scatter plot matrix and a geographic map, make an impact efficiently in businesses and organizations.
Read more
This course will teach you how to create visualizations for a variety of datasets. From box plots and bar charts to a scatter plot matrix and a geographic map, make an impact efficiently in businesses and organizations.
Creating great visuals can be time consuming without proper goals made. In this course, Creating Visualizations in R Using ggplot2: R Playbook, you will gain the ability to create powerful visuals that fit your dataset and business goals. First, you will learn simple charts for one variable. Next, you will discover more complex charts with two or more variables. Finally, you will explore how to create a map with geo spatial data. When you're finished with this course, you will have the skills and knowledge of visualizations needed to present insights to your audience.
Register for this course and see more details by visiting:
OpenCourser.com/course/h7dtpr/creating
What's inside
Syllabus
Course Overview
Leveraging ggplot2 for Creating Graphs
Showing the Best Plots for One or Two Variables Both Continuous
Producing the Best Plots for Two Variables, One Discrete, and One Continuous
Read more
Syllabus
Course Overview
Leveraging ggplot2 for Creating Graphs
Showing the Best Plots for One or Two Variables Both Continuous
Producing the Best Plots for Two Variables, One Discrete, and One Continuous
Read more
Creating Graphs with Three or More Variables and Making a Map
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines the capabilities of R ggplot2 for data visualization, which is standard in industry and research
Taught by Emilee McWilliams, an expert in data visualization using ggplot2
Designed for learners with a beginner-level understanding of data visualization and R
Covers the creation of various types of visualizations, including box plots, bar charts, scatter plots, and geographic maps
Emphasizes the practical application of data visualization for effective communication and decision-making
Save this course
Save Creating Visualizations in R Using ggplot2: R Playbook to your list so you can find it easily later:
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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 Creating Visualizations in R Using ggplot2: R Playbook with these
activities:
Read 'ggplot2: Elegant Graphics for Data Analysis'
Show steps
This book provides a comprehensive overview of ggplot2 and will help you gain a deeper understanding of its capabilities.
View
Advanced R, Second Edition (Chapman & Hall/CRC...
on Amazon
Show steps
-
Read the book thoroughly.
-
Work through the exercises in the book.
Review statistics fundamentals
Show steps
Brushing up on statistics will help you understand the concepts and techniques used in this course more easily.
Browse courses on
Statistics
Show steps
-
Review basic concepts such as mean, median, and mode.
-
Practice calculating probability distributions.
-
Review statistical inference methods, such as hypothesis testing and confidence intervals.
Follow along with ggplot2 tutorials
Show steps
Working through tutorials will provide practical experience and help you apply the concepts you learn in the course.
Show steps
-
Find tutorials on ggplot2.
-
Follow the instructions in the tutorials to create visualizations.
-
Experiment with different options to customize your visualizations.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Tutor other students in using ggplot2
Show steps
Mentoring others will help you solidify your understanding of ggplot2 and develop your communication skills.
Show steps
-
Identify students who need help with using ggplot2.
-
Develop a lesson plan for tutoring.
-
Conduct tutoring sessions.
Practice creating visualizations with ggplot2
Show steps
Hands-on practice will help you develop proficiency in using ggplot2 and improve your understanding of data visualization.
Show steps
-
Choose a dataset and create a box plot.
-
Create a scatter plot matrix to explore relationships between variables.
-
Use a geographic map to visualize data with spatial dimensions.
Create a data visualization dashboard
Show steps
Creating a dashboard will allow you to apply your skills to a practical project and showcase your abilities.
Show steps
-
Gather data on a topic of interest.
-
Clean and prepare the data for visualization.
-
Design and create visualizations using ggplot2.
-
Organize the visualizations into a dashboard.
Contribute to the ggplot2 project
Show steps
Contributing to the ggplot2 project will allow you to deepen your understanding of the library and make a direct impact on its development.
Show steps
-
Find a way to contribute to the project.
-
Submit a pull request.
-
Collaborate with other contributors.
Read 'ggplot2: Elegant Graphics for Data Analysis'
Show steps
This book provides a comprehensive overview of ggplot2 and will help you gain a deeper understanding of its capabilities.
View
Advanced R, Second Edition (Chapman & Hall/CRC...
on Amazon
Show steps
Show steps
Show steps
- Read the book thoroughly.
- Work through the exercises in the book.
Review statistics fundamentals
Show steps
Brushing up on statistics will help you understand the concepts and techniques used in this course more easily.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review basic concepts such as mean, median, and mode.
- Practice calculating probability distributions.
- Review statistical inference methods, such as hypothesis testing and confidence intervals.
Follow along with ggplot2 tutorials
Show steps
Working through tutorials will provide practical experience and help you apply the concepts you learn in the course.
Show steps
Show steps
Show steps
- Find tutorials on ggplot2.
- Follow the instructions in the tutorials to create visualizations.
- Experiment with different options to customize your visualizations.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Tutor other students in using ggplot2
Show steps
Mentoring others will help you solidify your understanding of ggplot2 and develop your communication skills.
Show steps
Show steps
Show steps
- Identify students who need help with using ggplot2.
- Develop a lesson plan for tutoring.
- Conduct tutoring sessions.
Practice creating visualizations with ggplot2
Show steps
Hands-on practice will help you develop proficiency in using ggplot2 and improve your understanding of data visualization.
Show steps
Show steps
Show steps
- Choose a dataset and create a box plot.
- Create a scatter plot matrix to explore relationships between variables.
- Use a geographic map to visualize data with spatial dimensions.
Create a data visualization dashboard
Show steps
Creating a dashboard will allow you to apply your skills to a practical project and showcase your abilities.
Show steps
Show steps
Show steps
- Gather data on a topic of interest.
- Clean and prepare the data for visualization.
- Design and create visualizations using ggplot2.
- Organize the visualizations into a dashboard.
Contribute to the ggplot2 project
Show steps
Contributing to the ggplot2 project will allow you to deepen your understanding of the library and make a direct impact on its development.
Show steps
Show steps
Show steps
- Find a way to contribute to the project.
- Submit a pull request.
- Collaborate with other contributors.
Career center
Learners who complete Creating Visualizations in R Using ggplot2: R Playbook will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts design dashboards that summarize data and make it digestible to stakeholders. These dashboards often include data visualization. This course would help you build a foundation in data visualization and create dashboards that can be effective for communicating actionable insights. You will be able to clean data, analyze it, and produce rich dashboards with charts, graphs, and other visuals.
Data Scientist
Data Scientist
Data Scientists help make sense of data for a wide range of industries. Often, Data Scientists are tasked with making visualizations. This course would be helpful for anyone looking to make charts and graphs in R. You will learn how to create visualizations for a variety of datasets, communicate insights effectively, and explore how to create a map with geo spatial data.
Business Analyst
Business Analyst
Business Analysts use data to help businesses make better decisions. This course would be helpful for any Business Analyst who wants to improve their data visualization skills. It will help you create visualizations for a variety of datasets, communicate insights effectively, and explore how to create a map with geo spatial data.
UX Researcher
UX Researcher
UX Researchers study how people interact with products. In particular, they are interested in how people use products. They use data to identify problems and opportunities, and to make recommendations for how to improve user experience. The ability to visualize data is a key skill for UX Researchers, and this course will help you to improve your data visualization skills, create visualizations for a variety of datasets, communicate insights effectively, and explore how to create a map with geo spatial data.
Market Researcher
Market Researcher
Market Researchers study markets. They collect and analyze data to understand consumer behavior. The ability to visualize data is a key skill for Market Researchers, and this course will help you to improve your data visualization skills, create visualizations for a variety of datasets, communicate insights effectively, and explore how to create a map with geo spatial data.
Financial Analyst
Financial Analyst
Financial Analysts study financial data. They use this data to make recommendations about investments. The ability to visualize data is a key skill for Financial Analysts, and this course will help you to improve your data visualization skills, create visualizations for a variety of datasets, communicate insights effectively, and explore how to create a map with geo spatial data.
Consultant
Consultant
Consultants provide advice to businesses. They use data to help businesses make better decisions. The ability to visualize data is a key skill for Consultants, and this course will help you to improve your data visualization skills, create visualizations for a variety of datasets, communicate insights effectively, and explore how to create a map with geo spatial data.
Data Engineer
Data Engineer
Data Engineers build and maintain data infrastructure. They use data to help businesses make better decisions. The ability to visualize data is a key skill for Data Engineers, and this course will help you to improve your data visualization skills, create visualizations for a variety of datasets, communicate insights effectively, and explore how to create a map with geo spatial data.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain software. They use data to help businesses make better decisions. The ability to visualize data is a key skill for Software Engineers, and this course will help you to improve your data visualization skills, create visualizations for a variety of datasets, communicate insights effectively, and explore how to create a map with geo spatial data.
Product Manager
Product Manager
Product Managers lead the development of products. They use data to help businesses make better decisions. The ability to visualize data is a key skill for Product Managers, and this course will help you to improve your data visualization skills, create visualizations for a variety of datasets, communicate insights effectively, and explore how to create a map with geo spatial data.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns. They use data to help businesses make better decisions. The ability to visualize data is a key skill for Marketing Managers, and this course will help you to improve your data visualization skills, create visualizations for a variety of datasets, communicate insights effectively, and explore how to create a map with geo spatial data.
Sales Manager
Sales Manager
Sales Managers lead sales teams. They use data to help businesses make better decisions. The ability to visualize data is a key skill for Sales Managers, and this course will help you to improve your data visualization skills, create visualizations for a variety of datasets, communicate insights effectively, and explore how to create a map with geo spatial data.
Operations Manager
Operations Manager
Operations Managers oversee the day-to-day operations of a business. They use data to help businesses make better decisions. The ability to visualize data is a key skill for Operations Managers, and this course will help you to improve your data visualization skills, create visualizations for a variety of datasets, communicate insights effectively, and explore how to create a map with geo spatial data.
Customer Success Manager
Customer Success Manager
Customer Success Managers help customers get the most value from a product or service. They use data to help businesses make better decisions. The ability to visualize data is a key skill for Customer Success Managers, and this course will help you to improve your data visualization skills, create visualizations for a variety of datasets, communicate insights effectively, and explore how to create a map with geo spatial data.
Account Manager
Account Manager
Account Managers manage relationships with customers. They use data to help businesses make better decisions. The ability to visualize data is a key skill for Account Managers, and this course will help you to improve your data visualization skills, create visualizations for a variety of datasets, communicate insights effectively, and explore how to create a map with geo spatial data.
For more career information including salaries, visit:
OpenCourser.com/course/h7dtpr/creating
Reading list
We've selected 13 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
Creating Visualizations in R Using ggplot2: R Playbook.
Is the definitive guide to using ggplot2, a powerful data visualization package for R. It covers all aspects of ggplot2, from basic charts to complex visualizations.
Save
Provides comprehensive coverage of data visualization techniques in R.
Provides a theoretical foundation for data visualization. It introduces the grammar of graphics, a set of principles for creating effective visualizations.
Useful supplement for those interested in geography.
Save
Provides a comprehensive overview of data visualization. It covers a wide range of topics, from basic concepts to advanced techniques.
Save
Provides a solid general introduction to R.
Save
Provides a gentle introduction to data visualization in R. It good choice for beginners who want to learn the basics of data visualization.
Save
Provides a practical guide to creating graphs in R. It good choice for intermediate users who want to learn more about advanced graphing techniques.
Provides a comprehensive overview of advanced graphics in R. It good choice for experienced users who want to learn more about the latest developments in data visualization.
Save
Provides a comprehensive overview of R for data science. It covers a wide range of topics, from data manipulation to machine learning.
Provides a comprehensive overview of modern statistics for biology. It covers a wide range of topics, from experimental design to data analysis.
Provides a comprehensive overview of statistical methods for bioinformatics. It covers a wide range of topics, from sequence analysis to gene expression data analysis.
Provides a comprehensive overview of bioinformatics data skills. It covers a wide range of topics, from data management to data analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/h7dtpr/creating
Share
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Time
70 hours
Level
Introductory
Via
Pluralsight
Instructor
Emilee McWilliams
Language
English
This course belongs to a
collection
called
Data Visualization with R. It's comprised of five courses:
- Creating Visualizations Using Base R Graphics
- Creating Visualizations in R Using ggplot2: R Playbook (viewing)
- Formatting ggplot2 Visualization Elements in R
- Annotating ggplot2 Visualizations in R
- Creating Special-purpose Plots: R Playbook
Good to know
Examines the capabilities of R ggplot2 for data visualization, which is standard in industry and research
Taught by Emilee McWilliams, an expert in data visualization using ggplot2
Designed for learners with a beginner-level understanding of data visualization and R
Covers the creation of various types of visualizations, including box plots, bar charts, scatter plots, and geographic maps
Emphasizes the practical application of data visualization for effective communication and decision-making
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