Challenge 2: Data Visualization

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Your challenge, should you choose to accept it:

Make the most beautiful and informative data visualization the world has ever seen! Tell a story about the data using only a single carefully crafted image.

The Dataset: https://www.kaggle.com/fec/independent-political-ad-spending

The Research Question: How are political ads created and funded?

You answer might include…

• What organizations contribute heavily to the creation of political ads?

• How does ad spending differ by party, ideology, office, location, etc.?

• How has ad spending changed over time?

• How does ad spending change over the course of an election?

Rules:

• You must turn in a single plot image, with no accompanying text or code.
  • Side-by-side plots, such as those created with facet_wrap, are fine.
  • Annotations on the image itself are okay; just not additional discussion.
• You may use any R package or tool that you want.
  • (with the exception of Shiny, because it does not generate a static image)
• You may not use any other language or tool to edit your plot.
  • For example, do not use MS Paint, Gimp, or Photoshop to add material to the plot.
• Do NOT turn in a knitted html!
  • I want one single image, probably .jpg or .png or .gif
  • Do not put your name on the image.

Scoring:

• You may work in pairs, if you like.

  • To do so, you must add yourselves to the same group under the “Challenge 2 Group” category. This can be found in the “People” section of Canvas.
  • Only one of you needs to upload your image(s).

• You automatically receive 5 points for making a submission.

• You will receive bonus points for the following achievements:

  • +10 if Dr. G and Dr. B choose your submission as their favorite
  • +10 if your submission is in the top 3
  • +5 if your submission is in the top 10
  • +5 if your submission is rated higher than Dr. Glanz’s
  • +5 if your submission is rated higher than Dr. Bodwin’s

• You may submit more than one entry, if you like. (But no more than 3 per person or group.)

  • Submitting multiple entries does not give you more automatic points, but it can give you more chances for bonus points.
  • That is, you get 5 points for completing the assignment, no matter how many entries you submit; however, you can receive bonus points from multiple submissions.