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R in 3 Months (Spring 2025)

Week 11 Project Assignment

Transcript

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Your Turn

Your assignment for this week is to improve a previous visualization and/or create a new visualization. Use the principles you learned about in the Advanced Data Visualization lessons to guide your work!

Here are the steps for this week's assignment:

  1. Open your project from the Week 8 assignment.

  2. Rewrite your Quarto document in a way that you'll only import your cleaned data and plot them. You should create the necessary code chunks to load packages and read in your RDS files from your data folder.

  3. Create 1-3 plots using at least one task from each group of tasks below:

    1. Pipe data into ggplot; reorder plots to highlight findings; or use color to highlight findings

    2. Add descriptive labels to your plots; customize your fonts; or use annotations to explain

    3. Create a custom theme; use titles to highlight findings; or try new plot types

  4. Break your code into code chunks as appropriate, making sure to remove or comment out any code that does not generate new objects or plots.

  5. Adjust your code chunk options so that you only see results, not warnings, messages, code, etc.

  6. Add text using markdown as you learned in the Text lesson. Use headings, bold, italics, and lists as appropriate. Use this opportunity to add context to your report, and explain to the reader what they should be paying attention to.

  7. Make sure you can render your document. Notice this will create new files and folders in your root folder, and it will look a bit messy. We will learn how to deal with it in the Advanced Quarto lessons. For now, you can delete the .html file and the <your_project>_files folder before submitting your assignment for review. Make sure to keep your .qmd file.

  8. Once you've completed your work, compress your project_assignment folder and upload it to the form below.

  9. If you have any specific questions, add those in the form below as well.

Have any questions? Put them below and we will help you out!

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Course Content

127 Lessons