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Week 5 (April 11)
Being able to create visualizations (graphical representations) of data is a key step in data analysis. In this module you will learn to use the ggplot2 library to visualize your data. As illustrated in week 2, R does provide built-in plotting functions; however, the ggplot2 library implements what is known as the Grammar of Graphics. This makes it particularly effective for describing how visualizations should represent data, and has turned it into the preeminent plotting library in R.
This week will provide you the knowledge and skills required to create the meaningful, elegant, and finely tuned data visualizations that I will be looking for in your final project.
Assignments
- Your final project is due by 11:59PM, April 26, 2020. Other than completing the final project, there are no additional homework assignments for the rest of the semester.
- .Rmd files may take much longer to knit and render than you think. Anticipate and plan for potential delays!
- Refer to the final project page to know what to submit and how to submit everything.
- Unless you have large files to send in addition to the data sets that are provided on the course website and need to email everything, please submit your final project URL and any necessary files in a private message via Slack.
- Please include your name(s) in the YAML.
Readings
- BEFORE next session’s class on April 18th, read:
- As you read, check your answers for the guided reading with this solutions manual.
Class
Please download this material for Saturday’s class:
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