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Chase DeHan
Making plots in R can be difficult, but it doesn't have to be. R's ggplot2 package makes it easy to make beautiful, high quality plots with only a couple lines of code. This course will get you well on your way to visualization proficiency.
Read more
Making plots in R can be difficult, but it doesn't have to be. R's ggplot2 package makes it easy to make beautiful, high quality plots with only a couple lines of code. This course will get you well on your way to visualization proficiency.
Read more
Making plots in R can be difficult, but it doesn't have to be. R's ggplot2 package makes it easy to make beautiful, high quality plots with only a couple lines of code. This course will get you well on your way to visualization proficiency.
Making high quality plots that display exactly what you want can be difficult. In this course, Visualizing Data in ggplot 2: R Data Playbook, you will gain the ability to build quality plots and customize them to fit your needs. First, you will learn the foundations of the ggplot syntax. Next, you will discover how to add multiple variables and select the plot type. Finally, you will explore how to customize and make the plot fit with the style you are looking for. When you are finished with this course, you will have the skills and knowledge of data visualization with R and ggplot needed to build presentation worthy plots for work or school.
Register for this course and see more details by visiting:
OpenCourser.com/course/m911o2/visualizing
What's inside
Syllabus
Course Overview
Getting Started with ggplot2
Understanding ggplot's Systems
Utilizing Stats and Scales
Read more
Syllabus
Course Overview
Getting Started with ggplot2
Understanding ggplot's Systems
Utilizing Stats and Scales
Read more
Customizing Your Plot
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for learners who want to develop data visualization skills using R and ggplot
Teaches the ggplot syntax, enabling learners to build customized plots
Covers essential elements of data visualization, including adding multiple variables and selecting appropriate plot types
Emphasizes customization, allowing learners to tailor plots to meet their specific presentation needs
Save this course
Save Visualizing Data in ggplot 2: R Data Playbook to your list so you can find it easily later:
Save
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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 Visualizing Data in ggplot 2: R Data Playbook with these
activities:
Gather ggplot2 resources
Show steps
Provides easy access to a comprehensive collection of ggplot2 materials.
Browse courses on
Ggplot2
Show steps
-
Search for tutorials, articles, and documentation on ggplot2
-
Organize the resources into a central location
-
Share the compilation with other learners
Review Python basics
Show steps
Ensure understanding of basic Python skills to succeed in using ggplot2.
Browse courses on
Python
Show steps
-
Review variables, data types, and operators
-
Practice writing simple functions
-
Complete a few beginner-level coding challenges
Follow a ggplot2 tutorial
Show steps
Provides a structured approach to learning the basics of ggplot2.
Browse courses on
Ggplot2
Show steps
-
Find a comprehensive ggplot2 tutorial
-
Follow the tutorial step-by-step
-
Complete the exercises and practice creating basic plots
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a ggplot2 workshop
Show steps
Provides structured and interactive learning with guidance from experts.
Browse courses on
Ggplot2
Show steps
-
Find a reputable ggplot2 workshop
-
Attend the workshop and actively participate in activities
-
Apply the knowledge gained to your own projects
Complete ggplot2 exercises
Show steps
Strengthens understanding of ggplot2 syntax and functionality through hands-on practice.
Browse courses on
Ggplot2
Show steps
-
Find a collection of ggplot2 exercises
-
Attempt to solve the exercises without referring to tutorials
-
Review your solutions and identify areas for improvement
Create a ggplot2 cheat sheet
Show steps
Reinforces understanding by organizing and summarizing key ggplot2 concepts.
Browse courses on
Ggplot2
Show steps
-
Gather information on ggplot2 syntax, functions, and options
-
Organize the information into a concise and visually appealing format
-
Review and refine the cheat sheet regularly
Analyze a dataset using ggplot2
Show steps
Applies ggplot2 skills to a real-world scenario, fostering critical thinking and problem-solving abilities.
Browse courses on
Ggplot2
Show steps
-
Choose a dataset of interest
-
Explore the dataset and identify key variables
-
Create visualizations using ggplot2 to uncover insights and trends
-
Write a brief report summarizing your findings
Assist peers in understanding ggplot2
Show steps
Deepens understanding through teaching and reinforcing concepts to others.
Browse courses on
Ggplot2
Show steps
-
Identify opportunities to help peers who are struggling with ggplot2
-
Provide clear and concise explanations of concepts
-
Guide peers through hands-on exercises and projects
Gather ggplot2 resources
Show steps
Provides easy access to a comprehensive collection of ggplot2 materials.
Browse courses on
Ggplot2
Show steps
Show steps
Show steps
- Search for tutorials, articles, and documentation on ggplot2
- Organize the resources into a central location
- Share the compilation with other learners
Review Python basics
Show steps
Ensure understanding of basic Python skills to succeed in using ggplot2.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review variables, data types, and operators
- Practice writing simple functions
- Complete a few beginner-level coding challenges
Follow a ggplot2 tutorial
Show steps
Provides a structured approach to learning the basics of ggplot2.
Browse courses on
Ggplot2
Show steps
Show steps
Show steps
- Find a comprehensive ggplot2 tutorial
- Follow the tutorial step-by-step
- Complete the exercises and practice creating basic plots
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a ggplot2 workshop
Show steps
Provides structured and interactive learning with guidance from experts.
Browse courses on
Ggplot2
Show steps
Show steps
Show steps
- Find a reputable ggplot2 workshop
- Attend the workshop and actively participate in activities
- Apply the knowledge gained to your own projects
Complete ggplot2 exercises
Show steps
Strengthens understanding of ggplot2 syntax and functionality through hands-on practice.
Browse courses on
Ggplot2
Show steps
Show steps
Show steps
- Find a collection of ggplot2 exercises
- Attempt to solve the exercises without referring to tutorials
- Review your solutions and identify areas for improvement
Create a ggplot2 cheat sheet
Show steps
Reinforces understanding by organizing and summarizing key ggplot2 concepts.
Browse courses on
Ggplot2
Show steps
Show steps
Show steps
- Gather information on ggplot2 syntax, functions, and options
- Organize the information into a concise and visually appealing format
- Review and refine the cheat sheet regularly
Analyze a dataset using ggplot2
Show steps
Applies ggplot2 skills to a real-world scenario, fostering critical thinking and problem-solving abilities.
Browse courses on
Ggplot2
Show steps
Show steps
Show steps
- Choose a dataset of interest
- Explore the dataset and identify key variables
- Create visualizations using ggplot2 to uncover insights and trends
- Write a brief report summarizing your findings
Assist peers in understanding ggplot2
Show steps
Deepens understanding through teaching and reinforcing concepts to others.
Browse courses on
Ggplot2
Show steps
Show steps
Show steps
- Identify opportunities to help peers who are struggling with ggplot2
- Provide clear and concise explanations of concepts
- Guide peers through hands-on exercises and projects
Career center
Learners who complete Visualizing Data in ggplot 2: R Data Playbook will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts mine raw data to extract insights and help companies make informed decisions. Proficiency in ggplot2 is essential for creating visualizations that explore data patterns, trends, and relationships. This course teaches the fundamentals of ggplot2, empowering you to effectively communicate data-driven insights and drive better decision-making.
Data Scientist
Data Scientist
Data Scientists combine statistical modeling and programming skills to solve complex business problems. ggplot2 is a core tool for visualizing data and communicating results. This course lays a solid foundation in ggplot2, enabling you to create clear and compelling visualizations that support data-driven decision-making.
Business Analyst
Business Analyst
Business Analysts use data to identify opportunities and solve problems within organizations. ggplot2 is a valuable tool for visualizing data and presenting findings in a compelling way. This course provides a strong foundation in ggplot2, helping you to effectively communicate data-driven insights to stakeholders and drive business value.
Statistician
Statistician
Statisticians analyze and interpret data to draw meaningful conclusions. ggplot2 is a powerful tool for visualizing data and exploring statistical relationships. This course provides a comprehensive introduction to ggplot2, enabling you to create clear and informative visualizations that support statistical analysis and decision-making.
Quantitative Researcher
Quantitative Researcher
Quantitative Researchers use mathematical and statistical techniques to solve problems in finance, economics, and other fields. ggplot2 is widely used in quantitative research to visualize and analyze data. This course teaches the fundamentals of ggplot2, providing you with the skills to effectively communicate research findings and support decision-making.
Data Engineer
Data Engineer
Data Engineers design and build data pipelines and systems for storing, processing, and analyzing large datasets. ggplot2 is a valuable tool for visualizing data and understanding data quality. This course provides a foundation in ggplot2, enabling you to create visualizations that support data engineering tasks and communicate data insights effectively.
Data Journalist
Data Journalist
Data Journalists use data to tell compelling stories and inform the public. ggplot2 is a key tool for creating visually appealing data-driven visualizations that engage readers and convey complex information clearly. This course provides a solid understanding of ggplot2, enabling you to effectively use data visualization to communicate insights and drive impact.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to understand customer behavior and optimize marketing campaigns. ggplot2 is a valuable tool for visualizing data and presenting insights to stakeholders. This course provides a foundation in ggplot2, enabling you to create compelling visualizations that inform marketing strategies and improve campaign performance.
Product Manager
Product Manager
Product Managers are responsible for the development and success of products. ggplot2 is a useful tool for visualizing data and tracking product performance. This course provides an introduction to ggplot2, helping you to create visualizations that support data-driven decision-making and improve product outcomes.
Financial Analyst
Financial Analyst
Financial Analysts use data to evaluate investments and make financial recommendations. ggplot2 is a valuable tool for visualizing financial data and identifying trends. This course provides a foundation in ggplot2, enabling you to create clear and informative visualizations that support financial analysis and decision-making.
Health Data Analyst
Health Data Analyst
Health Data Analysts use data to improve healthcare outcomes and patient care. ggplot2 is a valuable tool for visualizing health data and identifying trends. This course provides a foundation in ggplot2, enabling you to create clear and informative visualizations that support health data analysis and decision-making.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to improve business processes and decision-making. ggplot2 is a helpful tool for visualizing data and exploring complex relationships. This course provides an introduction to ggplot2, enabling you to create visualizations that support operations research analysis and drive process improvements.
Actuary
Actuary
Actuaries evaluate financial risks and develop insurance policies. ggplot2 is a helpful tool for visualizing data and understanding risk patterns. This course provides an introduction to ggplot2, enabling you to create visualizations that support actuarial analysis and decision-making.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. ggplot2 is a useful tool for visualizing data and understanding software performance. This course provides an introduction to ggplot2, helping you to create visualizations that support software engineering tasks and communicate technical insights.
Risk Analyst
Risk Analyst
Risk Analysts evaluate and mitigate risks in various industries. ggplot2 is a valuable tool for visualizing data and identifying risk factors. This course provides a foundation in ggplot2, enabling you to create clear and informative visualizations that support risk analysis and risk management strategies.
For more career information including salaries, visit:
OpenCourser.com/course/m911o2/visualizing
Reading list
We've selected seven 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
Visualizing Data in ggplot 2: R Data Playbook.
Save
Is the definitive guide to ggplot2, the most popular data visualization package for R. It provides a comprehensive overview of the ggplot2 syntax, as well as detailed instructions on how to create a wide variety of plots. This book is an essential resource for anyone who wants to learn how to visualize data in R.
Save
Provides a comprehensive introduction to R, the most popular programming language for data science. It covers all the basics of R, including data manipulation, visualization, and statistical analysis. This book is an essential resource for anyone who wants to learn how to use R for data science.
Save
Provides a collection of recipes for creating a wide variety of plots in R. It covers everything from basic plots to more advanced visualizations, such as interactive plots and maps. This book great resource for anyone who wants to learn how to create beautiful and informative plots in R.
Provides a practical guide to data visualization. It covers the principles of good data visualization and how to choose the right chart for every situation. This book great resource for anyone who wants to learn how to create clear and effective data visualizations.
Provides a comprehensive overview of data visualization in R. It covers all the basics of data visualization, including data preparation, plot creation, and customization. This book great resource for anyone who wants to learn how to create beautiful and informative data visualizations in R.
Provides a comprehensive introduction to R programming. It covers all the basics of R programming, including data manipulation, visualization, and statistical analysis. This book great resource for anyone who wants to learn how to use R for data science.
Save
Provides a collection of recipes for solving common problems in R programming. It covers everything from data manipulation to statistical analysis. This book great resource for anyone who wants to learn how to use R for data science.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/m911o2/visualizing
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Time
68 hours
Level
Introductory
Via
Pluralsight
Instructor
Chase DeHan
Language
English
Good to know
Suitable for learners who want to develop data visualization skills using R and ggplot
Teaches the ggplot syntax, enabling learners to build customized plots
Covers essential elements of data visualization, including adding multiple variables and selecting appropriate plot types
Emphasizes customization, allowing learners to tailor plots to meet their specific presentation needs
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