Comparisons

Due: Oct 18 by 11:59pm

Weight: This assignment is worth 1% of your final grade.

Purpose: The purpose of this assignment is to learn some of the technical details of how to create charts for comparing values to one another and / or to a benchmark.

Assessment: This assignment is graded using a check system:

• ✔+ (110%): Responses shows phenomenal thought and engagement with the course content. I will not assign these often.
• ✔ (100%): Responses are thoughtful, well-written, and show engagement with the course content. This is the expected level of performance.
• ✔− (50%): Responses are hastily composed, too short, and/or only cursorily engages with the course content. This grade signals that you need to improve next time. I will hopefully not assign these often.

Notice that this is essentially a pass/fail system. I’m not grading your writing ability and I’m not counting the number of words you write - I’m looking for thoughtful engagement. One or two sentences is not enough. Write at least a paragraph and show me that you did the readings assigned.

1. Get Organized

Download and edit this template when working through this assignment.

Then unzip the template folder (make sure you unzip it!), then open the .Rproj file to open RStudio. Open the hw7.Rmd file, take notes, and write some example code as you go through the following.

2. Readings

“At the heart of quantitative reasoning is a single question: Compared to what?”

– Edward Tufte

Most of the readings this week have code in them that illustrate how to create each chart type, and I encourage you to try and reproduce a few of the examples provided in R yourself. You may also want to take a look at the top 50 ggplots, which contains examples with ggplot code to create 50 common visualizations.

• Slope charts
• Bullet charts
• Dumbell charts
• Wilke: 7 - Visualizing distributions
• Wilke: 9 - Visualizing many distributions at once
• Dual-Scaled Axes in Graphs - Are They Ever the Best Solution?

3. Make a Chart

Once you’ve read through everything, add a code chunk in your hw7.Rmd file that creates one of the charts you saw in one of the readings. Cite the source of the chart. The goal is to try and reproduce the chart as closely as possible to how it looks in the reading. While it is okay to copy-paste code directly into your reflection, try to write the code yourself. Practicing the coding yourself is key to mastering these skills. You may need to modify the figure dimensions in the chunk settings.

4. Reflect

Reflect on what you’ve learned while going through these readings and exercises. Is there anything that jumped out at you? Anything you found particularly interesting or confusing? Write at least a paragraph in your hw7.Rmd file. Here are some suggestions:

• Discuss some of the key insights or things you found interesting in the readings or recent class periods.
• Write about the messiest data you’ve seen.
• Connect the course content to your own work or project you’re working on.

5. Knit

Click the “knit” button to compile your hw7.Rmd file into a html web page. Then open the hw7.html file in a web browser and proofread your report. Does all of the formatting look correct?

6. Submit

To submit this assignment, create a zip file of all the files in your R project folder for this assignment. Name the zip file hw7-netID.zip, replacing netID with your netID (e.g., hw7-jph.zip). Then copy that zip file into the “submissions” folder in your Box folder created for this class.