Trends
Due: Oct 25 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 that highlight trends, which inherently involve changes in values over time.
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 hw8.Rmd
file, take notes, and write some example code as you go through the following.
2. Readings
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 the examples provided in R yourself.
- Wilke: 13 - Visualizing time series
- Wilke: 14 - Visualizing trends
Some examples of visualizations we’ll explore in class:
- The “bar chart race”: Changes in how couples meet over time
- The heatmap: How common is your birthday?
- Time-Series Heatmaps
Optional:
3. Video
This video by Hans Rosling is a great summary of his larger TED talk on the “gapminder” project he started showing life expectancy and GDP over time. This is an excellent example of using an animated chart to tell a much richer story than a static chart.
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 hw8.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 hw8.Rmd
file into a html web page. Then open the hw8.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 hw8-netID.zip
, replacing netID
with your netID (e.g., hw8-jph.zip
). Then copy that zip file into the “submissions” folder in your Box folder created for this class.
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