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Multivariate Data Visualization with R

Matthew Renze

R is a popular open-source programming language for data analysis. In this course, you will learn how to create multivariate data visualizations with R in order to answer questions about your data.

R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for creating a wide variety of data visualizations. In this course, Multivariate Data Visualization with R, you will learn how to answer questions about your data by creating multivariate data visualizations with R. First, you'll learn the basics about creating multivariate data visualizations with R, in order to have a strong foundation to build on. Next, you'll learn how to create and interpret data visualizations that involve various combinations of three categorical or numerical variables. Finally, you'll learn how to create and interpret data visualizations that involve an arbitrary number of variables at the same time. By the end of this course you'll have the skill required to create and interpret a variety of multivariate data visualizations using R.

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What's inside

Syllabus

Course Overview

Introduction

Visualizing Three Categorical Variables

Visualizing Two Categorical and One Numeric Variables

Visualizing One Categorical and Two Numeric Variables

Visualizing Three Numeric Variables

Visualizing Many Variables

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches multivariate data visualization, which is highly relevant to data analysis

Led by Matthew Renze, a leading instructor in data visualization

Builds a strong foundation for beginners in data visualization with R

Strengthens an existing foundation for intermediate learners in data visualization with R

Provides comprehensive study of one aspect of science, math, and technology

Taught by Matthew Renze, who is recognized for his work in data visualization

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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 Multivariate Data Visualization with R with these activities:

Review your knowledge of R basics

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Ensure you have a strong foundation before starting the course.

Browse courses on R Programming

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Review your notes from previous R courses or tutorials.
Practice writing R code to perform basic tasks, such as data manipulation and visualization.

Read "Data Visualization with R" by Kieran Healy

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Expand and reinforce your knowledge through additional reading.

View Data Visualization: A Practical Introduction on Amazon

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Read the book in its entirety.
Take notes on the key concepts.
Apply the concepts you learn to your own data visualization projects.

Follow tutorials on creating multivariate data visualizations with R

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Gain additional support and guidance outside of class.

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Find tutorials that cover the topics you are interested in.
Follow the tutorials step-by-step.
Experiment with the code and data provided in the tutorials.

Five other activities

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Practice creating multivariate data visualizations with R

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Strengthen the skills covered in class with more practice.

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Find a dataset that contains multiple variables.
Create a variety of data visualizations, including bar charts, line charts, and scatterplots.
Interpret the results of your data visualizations.

Attend a workshop on multivariate data visualization with R

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Gain hands-on experience and learn from experts.

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Find a workshop that is relevant to your interests.
Register for the workshop.
Attend the workshop and participate in the activities.

Participate in a peer review session

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Learn from your classmates and provide feedback.

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Find a peer who is also taking the course.
Agree on a time to meet and discuss the course material.
During the session, share your thoughts and ideas about the course material.
Provide feedback to your peer on their thoughts and ideas.

Create a blog post or article on multivariate data visualization with R

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Solidify your understanding by teaching others.

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Choose a topic that you are interested in.
Research the topic thoroughly.
Write a blog post or article that is clear, concise, and engaging.
Share your blog post or article with others.

Participate in a data visualization competition

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Test your skills and knowledge against others.

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Find a data visualization competition that you are interested in.
Read the competition rules and guidelines.
Create a data visualization that meets the competition requirements.
Submit your data visualization to the competition.

Career center

Learners who complete Multivariate Data Visualization with R will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts examine and interpret data, transforming it into actionable insights. To do this, they use a variety of techniques, including data mining, statistical analysis, and visualization, to understand and meet business needs. The course, Multivariate Data Visualization with R, is a perfect fit for aspiring Data Analysts. This course teaches learners how to create multivariate data visualizations with R, a valuable skill that allows for the effective analysis of data.

See salaries and explore the career path for Data Analyst

Marketing Analyst

Marketing Analysts use data to gain insights and help businesses make informed marketing decisions. They use various techniques to analyze data, including statistical analysis and data visualization. The course, Multivariate Data Visualization with R, can be a great fit for those seeking a career as a Marketing Analyst. This course provides learners with the skills needed to create multivariate data visualizations that can help them understand marketing data and make better decisions.

See salaries and explore the career path for Marketing Analyst

Data Scientist

Data Scientists are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use a variety of techniques, including statistical analysis, data mining, and machine learning. The course, Multivariate Data Visualization with R, is an excellent choice for aspiring Data Scientists. This course teaches learners how to create multivariate data visualizations with R, a valuable skill for Data Scientists to have.

See salaries and explore the career path for Data Scientist

Business Intelligence Analyst

Business Intelligence Analysts use data to help businesses make better decisions. They use a variety of techniques, including data mining, statistical analysis, and data visualization. The course, Multivariate Data Visualization with R, can be a great fit for those seeking a career as a Business Intelligence Analyst. This course provides learners with the skills needed to create multivariate data visualizations that can help them understand business data and make better decisions.

See salaries and explore the career path for Business Intelligence Analyst

Market Researcher

Market Researchers use data to understand consumer behavior and trends. They use a variety of techniques, including surveys, focus groups, and data analysis. The course, Multivariate Data Visualization with R, can be a great fit for those seeking a career as a Market Researcher. This course provides learners with the skills needed to create multivariate data visualizations that can help them understand market data and make better decisions.

See salaries and explore the career path for Market Researcher

Quantitative Analyst

Quantitative Analysts use data to help businesses make investment decisions. They use a variety of techniques, including statistical analysis, financial modeling, and data visualization. The course, Multivariate Data Visualization with R, can be a great fit for those seeking a career as a Quantitative Analyst. This course provides learners with the skills needed to create multivariate data visualizations that can help them understand financial data and make better decisions.

See salaries and explore the career path for Quantitative Analyst

Operations Research Analyst

Operations Research Analysts use data to help organizations improve their operations. They use a variety of techniques, including mathematical modeling, simulation, and data analysis. The course, Multivariate Data Visualization with R, can be a great fit for those seeking a career as an Operations Research Analyst. This course provides learners with the skills needed to create multivariate data visualizations that can help them understand operational data and make better decisions.

See salaries and explore the career path for Operations Research Analyst

Healthcare Analyst

Healthcare Analysts use data to help improve the quality and efficiency of healthcare. They use a variety of techniques, including statistical analysis, data mining, and data visualization. The course, Multivariate Data Visualization with R, can be a great fit for those seeking a career as a Healthcare Analyst. This course provides learners with the skills needed to create multivariate data visualizations that can help them understand healthcare data and make better decisions.

See salaries and explore the career path for Healthcare Analyst

Financial Analyst

Financial Analysts use data to help businesses make investment decisions. They use a variety of techniques, including financial modeling, statistical analysis, and data visualization. The course, Multivariate Data Visualization with R, can be a great fit for those seeking a career as a Financial Analyst. This course provides learners with the skills needed to create multivariate data visualizations that can help them understand financial data and make better decisions.

See salaries and explore the career path for Financial Analyst

Data Visualization Specialist

Data Visualization Specialists create visual representations of data to help businesses and organizations communicate complex information more effectively. They use a variety of techniques, including data visualization tools and software. The course, Multivariate Data Visualization with R, can be a great fit for those seeking a career as a Data Visualization Specialist. This course provides learners with the skills needed to create multivariate data visualizations that are both informative and visually appealing.

See salaries and explore the career path for Data Visualization Specialist

Consultant

Consultants provide advice and expertise to businesses and organizations. They use a variety of techniques, including data analysis, problem solving, and communication. The course, Multivariate Data Visualization with R, may be useful for those seeking a career as a Consultant. This course provides learners with the skills needed to create multivariate data visualizations that can help them understand business data and make better decisions.

See salaries and explore the career path for Consultant

Product Manager

Product Managers are responsible for the development and success of products. They use a variety of techniques, including data analysis, market research, and customer feedback. The course, Multivariate Data Visualization with R, may be useful for those seeking a career as a Product Manager. This course provides learners with the skills needed to create multivariate data visualizations that can help them understand product data and make better decisions.

See salaries and explore the career path for Product Manager

User Experience (UX) Researcher

UX Researchers use data to understand how users interact with products and services. They use a variety of techniques, including user testing, surveys, and data analysis. The course, Multivariate Data Visualization with R, may be useful for those seeking a career as a UX Researcher. This course provides learners with the skills needed to create multivariate data visualizations that can help them understand user data and make better decisions.

See salaries and explore the career path for User Experience (UX) Researcher

Business Analyst

Business Analysts use data to help businesses improve their operations and make better decisions. They use a variety of techniques, including data analysis, process improvement, and project management. The course, Multivariate Data Visualization with R, may be useful for those seeking a career as a Business Analyst. This course provides learners with the skills needed to create multivariate data visualizations that can help them understand business data and make better decisions.

See salaries and explore the career path for Business Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They use a variety of techniques, including programming, testing, and debugging. The course, Multivariate Data Visualization with R, may be useful for those seeking a career as a Software Engineer. This course provides learners with the skills needed to create multivariate data visualizations that can help them understand software data and make better decisions.

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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 Multivariate Data Visualization with R.

The Grammar of Graphics

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Introduces the grammar of graphics, a powerful framework for understanding and creating visualizations. It is recommended for learners who want to develop a deeper understanding of the principles behind data visualization.

The Grammar of Graphics (Statistics and Computing)

Hardcover

$$$$

The Grammar of Graphics (Statistics and Computing)...

Paperback Bunko

$$$$

The Grammar of Graphics (Statistics and Computing)...

Hardcover

$$$$

Multivariate Data Visualization with R

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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