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Exploring Data Visually with R
Martin Burger
Martin Burger
Learn how to use data visualizations like scatterplots, barcharts, histograms, and boxplots for data exploration.
Read more
Learn how to use data visualizations like scatterplots, barcharts, histograms, and boxplots for data exploration.
Read more
Learn how to use data visualizations like scatterplots, barcharts, histograms, and boxplots for data exploration.
R is very versatile when it comes to data exploration. Any type of chart can be implemented in R. In this course, Exploring Data Visually with R, you will learn the standard visualization techniques that are used for data exploration. First, you will investigate how to use data visualizations. Then, you will explore common datasets with the 4 plot types including scatterplots, barcharts, histograms, and boxplots. Finally, you will be able to use and compare the 3 charting systems, which are R base, lattice, and ggplot2. When you are finished with this course, you will have the skills and knowledge to identify the most suitable chart type and to implement it in 3 different R charting tools.
Register for this course and see more details by visiting:
OpenCourser.com/course/m502ug/exploring
What's inside
Syllabus
Course Overview
Background on Data Visualization in R
Data Visualizations Based on Distributions
Data Visualizations Based on Clusters and Grouping Variables
Read more
Syllabus
Course Overview
Background on Data Visualization in R
Data Visualizations Based on Distributions
Data Visualizations Based on Clusters and Grouping Variables
Read more
Looking Ahead and Further Resources
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces fundamentals and techniques of data visualization, a critical skill in data exploration
Suitable for learners looking to enhance their data exploration skills using R
Taught by Martin Burger, an industry expert in data analysis and visualization
Covers various visualization techniques using scatterplots, barcharts, histograms, and boxplots
Provides hands-on experience through practical examples and exercises
Save this course
Save Exploring Data Visually with R 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 Exploring Data Visually with R with these
activities:
Review R Basics
Show steps
Ensures that students have the necessary programming skills for the course
Browse courses on
R Programming
Show steps
-
Review basic R syntax
-
Practice writing simple R scripts
Complete Data Visualization Courses
Show steps
Provides structured learning and exposure to best practices
Browse courses on
Data Visualization
Show steps
-
Identify reputable online courses on data visualization
-
Enroll in a course and complete the modules
Form a Study Group
Show steps
Offers opportunities to engage with peers and clarify concepts
Browse courses on
Collaborative Learning
Show steps
-
Identify classmates who share interests
-
Set up regular meeting times
-
Discuss course material and work on problems together
Four other activities
Expand to see all activities and additional details
Show all seven activities
Walkthrough Practice Exercises Tutorial
Show steps
Creates proficiency in the use of the R charting tools
Show steps
-
Review the documentation for the `ggplot` package
-
Practice using ggplot to create different types of charts
-
Review the documentation the `lattice` package
-
Practice using lattice to create different types of charts
Build a Data Visualization Dashboard
Show steps
Provides hands-on experience in applying data visualization to real-world problems
Browse courses on
Interactive Visualization
Show steps
-
Identify a business problem or question
-
Collect and clean the necessary data
-
Develop visualizations to answer the question or solve the problem
-
Create an interactive dashboard to present the results
Create Data Visualization Portfolio
Show steps
Enhances data visualization skills and provides a record of progress
Browse courses on
Data Visualization
Show steps
-
Gather a variety of data sets
-
Explore the data and identify insights
-
Create visualizations that effectively communicate the insights
-
Document the process and results in a portfolio
Mentor Junior Students
Show steps
Reinforces knowledge through teaching and provides opportunities for leadership
Browse courses on
Mentoring
Show steps
-
Identify students who would benefit from mentoring
-
Provide guidance and support on course-related topics
Review R Basics
Show steps
Ensures that students have the necessary programming skills for the course
Browse courses on
R Programming
Show steps
Show steps
Show steps
- Review basic R syntax
- Practice writing simple R scripts
Complete Data Visualization Courses
Show steps
Provides structured learning and exposure to best practices
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify reputable online courses on data visualization
- Enroll in a course and complete the modules
Form a Study Group
Show steps
Offers opportunities to engage with peers and clarify concepts
Browse courses on
Collaborative Learning
Show steps
Show steps
Show steps
- Identify classmates who share interests
- Set up regular meeting times
- Discuss course material and work on problems together
Four other activities
Expand to see all activities and additional details
Show all seven activities
Walkthrough Practice Exercises Tutorial
Show steps
Creates proficiency in the use of the R charting tools
Show steps
Show steps
Show steps
- Review the documentation for the `ggplot` package
- Practice using ggplot to create different types of charts
- Review the documentation the `lattice` package
- Practice using lattice to create different types of charts
Build a Data Visualization Dashboard
Show steps
Provides hands-on experience in applying data visualization to real-world problems
Browse courses on
Interactive Visualization
Show steps
Show steps
Show steps
- Identify a business problem or question
- Collect and clean the necessary data
- Develop visualizations to answer the question or solve the problem
- Create an interactive dashboard to present the results
Create Data Visualization Portfolio
Show steps
Enhances data visualization skills and provides a record of progress
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather a variety of data sets
- Explore the data and identify insights
- Create visualizations that effectively communicate the insights
- Document the process and results in a portfolio
Mentor Junior Students
Show steps
Reinforces knowledge through teaching and provides opportunities for leadership
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Identify students who would benefit from mentoring
- Provide guidance and support on course-related topics
Career center
Learners who complete Exploring Data Visually with R will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. The course, Exploring Data Visually with R, provides valuable skills for Data Analysts, as it teaches how to use data visualization techniques to effectively present data insights. By learning how to create visually appealing and informative visualizations, Data Analysts can make data more accessible and easier to understand for stakeholders.
Data Scientist
Data Scientist
Data Scientists analyze data to extract meaningful insights and patterns, which are used to make informed decisions. The course, Exploring Data Visually with R, provides a solid foundation in data visualization techniques, which are essential for effectively communicating insights to stakeholders. By learning how to create clear and concise visualizations, Data Scientists can enhance the impact of their work and contribute to better decision-making.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. The course, Exploring Data Visually with R, provides valuable skills for Business Intelligence Analysts, as it teaches how to use data visualization techniques to effectively communicate data insights to stakeholders. By learning how to create visually appealing and informative visualizations, Business Intelligence Analysts can help businesses make better use of their data.
Market Researcher
Market Researcher
Market Researchers conduct surveys and analyze data to understand consumer behavior. The course, Exploring Data Visually with R, provides valuable skills for Market Researchers, as it teaches how to use data visualization techniques to effectively present research findings. By learning how to create clear and concise visualizations, Market Researchers can make their findings more accessible and easier to understand for stakeholders.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to improve business operations. The course, Exploring Data Visually with R, provides valuable skills for Operations Research Analysts, as it teaches how to use data visualization techniques to effectively analyze operations data. By learning how to create clear and concise visualizations, Operations Research Analysts can make better decisions and communicate their findings more effectively to stakeholders.
Statistician
Statistician
Statisticians use statistical methods to analyze data and draw conclusions. The course, Exploring Data Visually with R, provides a strong foundation in data visualization techniques, which are essential for effectively communicating statistical findings. By learning how to create clear and concise visualizations, Statisticians can enhance the impact of their work and make their findings more accessible to a wider audience.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions. The course, Exploring Data Visually with R, provides valuable skills for Financial Analysts, as it teaches how to use data visualization techniques to effectively analyze financial data. By learning how to create clear and concise visualizations, Financial Analysts can make better investment decisions and communicate their findings more effectively to clients.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and assess risks. The course, Exploring Data Visually with R, provides valuable skills for Risk Analysts, as it teaches how to use data visualization techniques to effectively analyze risk data. By learning how to create clear and concise visualizations, Risk Analysts can make better decisions and communicate their findings more effectively to stakeholders.
Data Architect
Data Architect
Data Architects design and build data systems. The course, Exploring Data Visually with R, may be useful for Data Architects, as it teaches how to use data visualization techniques to explore and analyze data. By learning how to create clear and concise visualizations, Data Architects can better understand the data they are working with and make better decisions about how to design and build data systems.
Data Engineer
Data Engineer
Data Engineers build and maintain data infrastructure. The course, Exploring Data Visually with R, may be useful for Data Engineers, as it teaches how to use data visualization techniques to explore and analyze data. By learning how to create clear and concise visualizations, Data Engineers can better understand the data they are working with and make better decisions about how to manage and store it.
Web Developer
Web Developer
Web Developers design and develop websites. The course, Exploring Data Visually with R, may be useful for Web Developers who work with data, as it teaches how to use data visualization techniques to explore and analyze data. By learning how to create clear and concise visualizations, Web Developers can better understand the data they are working with and make better decisions about how to design and develop websites.
Business Analyst
Business Analyst
Business Analysts use data to help businesses make better decisions. The course, Exploring Data Visually with R, may be useful for Business Analysts, as it teaches how to use data visualization techniques to explore and analyze data. By learning how to create clear and concise visualizations, Business Analysts can better understand the data they are working with and make better decisions about how to help businesses make better decisions.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. The course, Exploring Data Visually with R, may be useful for Database Administrators who work with data, as it teaches how to use data visualization techniques to explore and analyze data. By learning how to create clear and concise visualizations, Database Administrators can better understand the data they are working with and make better decisions about how to manage and maintain databases.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. The course, Exploring Data Visually with R, may be useful for Software Engineers who work with data, as it teaches how to use data visualization techniques to explore and analyze data. By learning how to create clear and concise visualizations, Software Engineers can better understand the data they are working with and make better decisions about how to design and build software applications.
Project Manager
Project Manager
Project Managers plan and execute projects. The course, Exploring Data Visually with R, may be useful for Project Managers who work with data, as it teaches how to use data visualization techniques to explore and analyze data. By learning how to create clear and concise visualizations, Project Managers can better understand the data they are working with and make better decisions about how to plan and execute projects.
For more career information including salaries, visit:
OpenCourser.com/course/m502ug/exploring
Reading list
We've selected 11 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
Exploring Data Visually with R.
Complements the course by covering the fundamentals of data visualization design. It provides a broad perspective on visual encoding techniques and considerations for effective communication through visualizations.
Save
Serves as a practical guide to data visualization in R. It aligns well with the course's focus on using R for data exploration and visualization, providing detailed explanations and examples.
Save
Offers a comprehensive treatment of ggplot2, one of the most popular R packages for data visualization. It provides a deep understanding of ggplot2's grammar of graphics, allowing learners to create advanced and customized visualizations.
Delves into the theoretical foundations of data visualization. It provides insights into the cognitive and perceptual aspects of visual perception, helping learners understand how to design visualizations that are both informative and effective.
Valuable reference for R users. It contains a collection of recipes for creating various types of visualizations, providing practical solutions for common visualization tasks encountered during data exploration.
This classic work on data visualization emphasizes the principles of clear and effective communication through visual representations. It foundational text that provides valuable insights into the history and best practices of data visualization.
Comprehensive guide to data visualization in R. It covers a wide range of topics, including data preparation, visualization techniques, and best practices. It useful resource for both beginners and experienced R users.
Save
Provides a foundational understanding of R programming and data manipulation. It serves as a good preparatory resource for this course, as it covers basic concepts and techniques that are essential for data visualization.
Delves into the world of interactive data visualization for the web. It covers techniques for creating interactive visualizations using HTML, CSS, and JavaScript. It useful resource for anyone interested in building dynamic and engaging data visualizations.
Provides a comparative perspective on data visualization using Python and JavaScript. It covers both the theoretical and practical aspects of visualization, making it a valuable resource for those interested in exploring different technologies for data visualization.
Emphasizes the importance of choosing the right visualization for the data and the story it tells. It provides practical guidelines and examples to help learners create effective and meaningful visualizations that communicate insights clearly.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/m502ug/exploring
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Time
121 hours
Level
Introductory
Via
Pluralsight
Instructor
Martin Burger
Language
English
This course belongs to a
collection
called
Exploratory Data Analysis with R. It's comprised of two courses:
- Exploring Data Visually with R (viewing)
- Exploring Your First Data Set with R
Good to know
Introduces fundamentals and techniques of data visualization, a critical skill in data exploration
Suitable for learners looking to enhance their data exploration skills using R
Taught by Martin Burger, an industry expert in data analysis and visualization
Covers various visualization techniques using scatterplots, barcharts, histograms, and boxplots
Provides hands-on experience through practical examples and exercises
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