The following is an infographic, designed to catch the reader's attention:
Visit http://awesome.good.is/transparency/web/0906/trans0609largestbankruptcies.html for the original graphic.
Redesign this graphic as an information visualization, with the primary purpose of conveying information.
The original dataset comes from BankruptcyData.com. At the bottom of this page, you can find a CSV file containing the original (and updated) data, plus additional data from non-financial bankruptcies. The source files for this dataset are:
http://www.bankruptcydata.com/Research/Largest_Overall_All-Time.pdf
http://www.bankruptcydata.com/Research/Largest_Overall_Non-Financial.pdf
http://www.bankruptcydata.com/Research/Largest_Financial.pdf
To load this dataset in R, place the file in your current working directory and run the following code:
bankrupt_data <- read.csv("bankruptcy.csv", header = TRUE, colClasses = c("character", "factor", "integer", "Date", "integer", "integer"))
You may want to filter this dataset or convert it to a long format in preparation for visualizing in R and ggplot2.
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