Data Visualization with R Lesson 2: Data Visualization with ggplot2 (6/7)
Lesson 2: Data Visualization with ggplot2 (6/7) Transcript and Lesson Notes
This segment demonstrates how to revise the input dataset to visualize proportion instead of count. It also covers adding labels to plots. Course Description: This 1-hour course teaches students to create customized data
Quick Summary
This segment demonstrates how to revise the input dataset to visualize proportion instead of count. It also covers adding labels to plots. Course Description: This 1-hour course teaches students to create customized data
Key Takeaways
- Review the core idea: This segment demonstrates how to revise the input dataset to visualize proportion instead of count. It also covers adding labels to plots. Course Description: This 1-hour course teaches students to create customized data
- Understand how working with data fits into Lesson 2: Data Visualization with ggplot2 (6/7).
- Understand how open science fits into Lesson 2: Data Visualization with ggplot2 (6/7).
- Understand how digital skills training fits into Lesson 2: Data Visualization with ggplot2 (6/7).
Key Concepts
Full Transcript
This segment demonstrates how to revise the input dataset to visualize proportion instead of count. It also covers adding labels to plots. Course Description: This 1-hour course teaches students to create customized data visualizations in R. Using the ggplot2 package, students will produce plots, histograms, density distribution, and other useful visualizations to bring their data to life. This course is designed to be used in conjunction with the Data Visualization with R curriculum (PDF), which you can access and download here: https://cmu-lib.github.io/os-workshops/reproducible-research/Data%20Visualization%20with%20R.pdf. An up-to-date copy of R and RStudio are required for this course. This lesson also assumes basic familiarity with R and the RStudio environment. Participants are expected to have completed the Introduction to R mini prior to enrolling in this course, or to have an equivalent level of understanding of the material contained in that lesson.
Lesson FAQs
What is Lesson 2: Data Visualization with ggplot2 (6/7) about?
This segment demonstrates how to revise the input dataset to visualize proportion instead of count. It also covers adding labels to plots. Course Description: This 1-hour course teaches students to create customized data
What key concepts are covered in this lesson?
The lesson covers working with data, open science, digital skills training.
What should I learn before Lesson 2: Data Visualization with ggplot2 (6/7)?
Review the previous lessons in Data Visualization with R, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: working with data, open science, digital skills training.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
Is this lesson free?
Yes. CourseHive lessons and courses are available to learn online for free.
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