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Chris Shockley
Welcome to the Introduction to ggplot2 Project using R. This is a project based course that should take approximately 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure.
Course Objectives:
By the end of this course, you will be able to:
To understand what the Grammar of Graphics is and how it is used.
To practice using the ggplot2 functions and the respective geom's.
Complete a customized graph that has three variables, a trend line and the appropriate Titles, Subtitles and Axis.
To recognize the power of analyzing data using colors and sizes.
Register for this course and see more details by visiting:
OpenCourser.com/course/qaidgg/graphing
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds on foundational graphing using R
Introduces essential ggplot2 concepts, functions, and aesthetics
Guides learners in creating customized graphs with multiple variables
Provides hands-on practice in analyzing data through colors and sizes
Save this course
Save Graphing with ggplot2 to your list so you can find it easily later:
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Reviews summary
Informative ggplot2 overview
This well-received course gives a thorough and informative overview of ggplot2. Some students have noted that it focuses only on the basics of ggplot2, but many overall recommend it to beginners.
The course is beginner friendly.
"Quite easy to learn and practice with the basic ggplot functions"
The course gives a good overview of ggplot2.
"Nice overview of ggplot2 by a great instructor."
"Good intro to ggplot I think"
The course has some confusing content.
"please fix the course contentits supposed to be ggplot2 not rvest"
"The Rhyme session takes you to a different tutorial on Web Scraping. Instead of ggplot2"
The course only covers the basics.
"Decent introduction to ggplot2 but a lot more can be covered."
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 Graphing with ggplot2 with these
activities:
Review R syntax and data manipulation
Show steps
Refreshes students' knowledge of R syntax and data manipulation techniques, which are essential for working with ggplot.
Browse courses on
R
Show steps
-
Review the basics of R syntax, including data types, operators, and functions.
-
Practice manipulating data using R functions, such as `dplyr` and `tidyr`.
Review earlier concepts of ggplot
Show steps
Strengthens prior knowledge of the ggplot package in R, which is crucial for understanding the course materials.
Browse courses on
ggplot
Show steps
-
Review the basics of ggplot, including the grammar of graphics and the different geoms.
-
Create a simple scatterplot using ggplot.
Practice creating visualizations using ggplot
Show steps
Provides hands-on practice in creating visualizations using ggplot, reinforcing the concepts learned in the course.
Browse courses on
ggplot
Show steps
-
Create a bar chart comparing the values of two different variables.
-
Create a line chart showing the trend of a variable over time.
-
Create a scatterplot with a trend line.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore additional tutorials on ggplot
Show steps
Encourages students to seek out additional resources and tutorials to deepen their understanding of ggplot and data visualization techniques.
Browse courses on
ggplot
Show steps
-
Search for online tutorials or courses on ggplot.
-
Follow the tutorials and complete the exercises provided.
Create a visualization dashboard using ggplot
Show steps
Challenges students to apply their ggplot skills to create a comprehensive visualization dashboard, enhancing their understanding of data visualization.
Browse courses on
ggplot
Show steps
-
Identify a dataset and the key insights you want to communicate.
-
Design the layout of your dashboard, including the different visualizations you will use.
-
Create the visualizations using ggplot and combine them into a dashboard.
Develop a data visualization project using ggplot
Show steps
Provides a hands-on opportunity to apply ggplot skills to a real-world data visualization project, encouraging creativity and problem-solving.
Browse courses on
ggplot
Show steps
-
Identify a dataset and define the objectives of your project.
-
Explore the data and create visualizations using ggplot.
-
Present your findings and insights based on your visualizations.
Mentor other students in ggplot
Show steps
Provides an opportunity for students to solidify their understanding of ggplot by mentoring others, reinforcing their knowledge and improving their communication skills.
Browse courses on
ggplot
Show steps
-
Identify a peer or mentee who needs assistance with ggplot.
-
Provide guidance, answer questions, and offer feedback on their ggplot visualizations.
Contribute to the ggplot open-source project
Show steps
Encourages students to engage with the ggplot community and contribute to its development, deepening their understanding of the tool and fostering collaboration.
Browse courses on
ggplot
Show steps
-
Explore the ggplot open-source project on GitHub.
-
Identify an area where you can contribute.
-
Submit a pull request with your contribution.
Review R syntax and data manipulation
Show steps
Refreshes students' knowledge of R syntax and data manipulation techniques, which are essential for working with ggplot.
Browse courses on
R
Show steps
Show steps
Show steps
- Review the basics of R syntax, including data types, operators, and functions.
- Practice manipulating data using R functions, such as `dplyr` and `tidyr`.
Review earlier concepts of ggplot
Show steps
Strengthens prior knowledge of the ggplot package in R, which is crucial for understanding the course materials.
Browse courses on
ggplot
Show steps
Show steps
Show steps
- Review the basics of ggplot, including the grammar of graphics and the different geoms.
- Create a simple scatterplot using ggplot.
Practice creating visualizations using ggplot
Show steps
Provides hands-on practice in creating visualizations using ggplot, reinforcing the concepts learned in the course.
Browse courses on
ggplot
Show steps
Show steps
Show steps
- Create a bar chart comparing the values of two different variables.
- Create a line chart showing the trend of a variable over time.
- Create a scatterplot with a trend line.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore additional tutorials on ggplot
Show steps
Encourages students to seek out additional resources and tutorials to deepen their understanding of ggplot and data visualization techniques.
Browse courses on
ggplot
Show steps
Show steps
Show steps
- Search for online tutorials or courses on ggplot.
- Follow the tutorials and complete the exercises provided.
Create a visualization dashboard using ggplot
Show steps
Challenges students to apply their ggplot skills to create a comprehensive visualization dashboard, enhancing their understanding of data visualization.
Browse courses on
ggplot
Show steps
Show steps
Show steps
- Identify a dataset and the key insights you want to communicate.
- Design the layout of your dashboard, including the different visualizations you will use.
- Create the visualizations using ggplot and combine them into a dashboard.
Develop a data visualization project using ggplot
Show steps
Provides a hands-on opportunity to apply ggplot skills to a real-world data visualization project, encouraging creativity and problem-solving.
Browse courses on
ggplot
Show steps
Show steps
Show steps
- Identify a dataset and define the objectives of your project.
- Explore the data and create visualizations using ggplot.
- Present your findings and insights based on your visualizations.
Mentor other students in ggplot
Show steps
Provides an opportunity for students to solidify their understanding of ggplot by mentoring others, reinforcing their knowledge and improving their communication skills.
Browse courses on
ggplot
Show steps
Show steps
Show steps
- Identify a peer or mentee who needs assistance with ggplot.
- Provide guidance, answer questions, and offer feedback on their ggplot visualizations.
Contribute to the ggplot open-source project
Show steps
Encourages students to engage with the ggplot community and contribute to its development, deepening their understanding of the tool and fostering collaboration.
Browse courses on
ggplot
Show steps
Show steps
Show steps
- Explore the ggplot open-source project on GitHub.
- Identify an area where you can contribute.
- Submit a pull request with your contribution.
Career center
Learners who complete Graphing with ggplot2 will develop knowledge and skills
that may be useful to these careers:
Information Designer
Information Designer
An Information Designer creates visual representations of data. This course would help an Information Designer learn the basics of data visualization, which is an essential skill for communicating insights from data. The course would also help an Information Designer learn how to use the R programming language, which is a popular tool for data visualization.
Data Visualization Specialist
Data Visualization Specialist
A Data Visualization Specialist creates visual representations of data. This course would help a Data Visualization Specialist learn the basics of data visualization, which is an essential skill for communicating insights from data. The course would also help a Data Visualization Specialist learn how to use the R programming language, which is a popular tool for data visualization.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. This course would help a Data Scientist learn the basics of data visualization, which is an essential skill for communicating insights from data. The course would also help a Data Scientist learn how to use the R programming language, which is a popular tool for data analysis.
Business Analyst
Business Analyst
A Business Analyst uses data to solve business problems. This course would help a Business Analyst learn the basics of data visualization, which is an essential skill for communicating insights from data. The course would also help a Business Analyst learn how to use the R programming language, which is a popular tool for data analysis.
Statistician
Statistician
A Statistician collects, analyzes, interprets, and presents data. This course would help a Statistician learn the basics of data visualization, which is an essential skill for communicating insights from data. The course would also help a Statistician learn how to use the R programming language, which is a popular tool for data analysis.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, interprets, and presents data. This course would help a Data Analyst learn the basics of data visualization, which is an essential skill for communicating insights from data. The course would also help a Data Analyst learn how to use the R programming language, which is a popular tool for data analysis.
Product Manager
Product Manager
A Product Manager manages the development and launch of new products. This course would help a Product Manager learn the basics of data visualization, which is an essential skill for understanding how users interact with products. The course would also help a Product Manager learn how to use the R programming language, which is a popular tool for data analysis.
Marketing Manager
Marketing Manager
A Marketing Manager develops and executes marketing campaigns. This course would help a Marketing Manager learn the basics of data visualization, which is an essential skill for understanding how customers interact with marketing materials. The course would also help a Marketing Manager learn how to use the R programming language, which is a popular tool for data analysis.
Technical Writer
Technical Writer
A Technical Writer creates documentation for software, hardware, and other products. This course would help a Technical Writer learn the basics of data visualization, which is an essential skill for creating clear and concise documentation. The course would also help a Technical Writer learn how to use the R programming language, which is a popular tool for data analysis.
Customer Success Manager
Customer Success Manager
A Customer Success Manager helps customers get the most value out of a product or service. This course would help a Customer Success Manager learn the basics of data visualization, which is an essential skill for understanding how customers interact with a product or service. The course would also help a Customer Success Manager learn how to use the R programming language, which is a popular tool for data analysis.
Market Researcher
Market Researcher
A Market Researcher collects, analyzes, and interprets data about markets and customers. This course would help a Market Researcher learn the basics of data visualization, which is an essential skill for communicating insights from data. The course would also help a Market Researcher learn how to use the R programming language, which is a popular tool for data analysis.
User Experience Designer
User Experience Designer
A User Experience Designer designs user interfaces for websites and apps. This course would help a User Experience Designer learn the basics of data visualization, which is an essential skill for understanding how users interact with data. The course would also help a User Experience Designer learn how to use the R programming language, which is a popular tool for data analysis.
Educator
Educator
An Educator teaches students about a variety of subjects. This course would help an Educator learn the basics of data visualization, which is an essential skill for creating clear and concise lesson plans. The course would also help an Educator learn how to use the R programming language, which is a popular tool for data analysis.
Analyst
Analyst
An Analyst collects, analyzes, interprets, and presents data. This course would help an Analyst learn the basics of data visualization, which is an essential skill for communicating insights from data. The course would also help an Analyst learn how to use the R programming language, which is a popular tool for data analysis.
Sales Manager
Sales Manager
A Sales Manager manages a team of salespeople. This course would help a Sales Manager learn the basics of data visualization, which is an essential skill for understanding how salespeople interact with customers. The course would also help a Sales Manager learn how to use the R programming language, which is a popular tool for data analysis.
For more career information including salaries, visit:
OpenCourser.com/course/qaidgg/graphing
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
Graphing with ggplot2.
Save
Is the definitive reference for ggplot2, the most popular data visualization package for R. It covers all aspects of ggplot2, from the basics to advanced techniques.
Save
Provides a comprehensive introduction to R, the most popular programming language for data science. It covers all the basics of R, as well as more advanced topics such as data visualization and machine learning.
Is the seminal work on the grammar of graphics, the theoretical foundation for ggplot2. It provides a deep understanding of the principles behind data visualization.
Save
Provides a practical introduction to data visualization. It covers the basics of data visualization, as well as more advanced techniques such as interactive graphics and geospatial data visualization.
Practical guide to ggplot2. It covers all the basics of ggplot2, as well as more advanced topics such as custom themes and geospatial data visualization.
Collection of recipes for creating a wide variety of graphs in R. It valuable resource for anyone who wants to learn how to create custom graphs in R.
Save
Collection of recipes for creating a wide variety of graphs in ggplot2. It valuable resource for anyone who wants to learn how to create custom graphs in ggplot2.
Save
Provides a gentle introduction to R. It good choice for beginners who want to learn the basics of R.
Provides a comprehensive overview of R programming. It covers a wide range of topics, from the basics of R to advanced topics such as object-oriented programming and data mining.
Provides a practical introduction to R. It covers the basics of R, as well as more advanced topics such as data visualization and machine learning.
Provides a comprehensive introduction to ggplot2. It covers all the basics of ggplot2, as well as more advanced topics such as custom themes and geospatial data visualization.
Provides a comprehensive overview of data science with R. It covers a wide range of topics, from the basics of data science to advanced topics such as machine learning and deep learning.
Save
Provides a gentle introduction to R. It good choice for beginners who want to learn the basics of R.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qaidgg/graphing
Share
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Time
2 hours
Via
Coursera
Institutions
Rhyme
Coursera Project Network
Instructor
Chris Shockley
Good to know
Builds on foundational graphing using R
Introduces essential ggplot2 concepts, functions, and aesthetics
Guides learners in creating customized graphs with multiple variables
Provides hands-on practice in analyzing data through colors and sizes
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