Visualizing the Gilded Age

A quick note before the Exhibit begins Proper. None of this would have been possible without the dataset provided by the Cross-National Time-Series Data Archive. Every Graphic is generated using their datasheet. Consider this citation relevant for any present and future Graphics generated by the software1

Hello and welcome to my Exhibit. Today I will try and answer the age old question: does anyone actually think graphs are cool? Well anyone besides me. I think I have to find them cool or otherwise I would have picked a project that did not require me spending multiple nights staring at spreadsheets as my sanity slowly leaked out of my ears. Yes, I am confident research sucks for everyone at some point or another but regardless, I still shudder at the very thought of Excel.

Anyways, that is technically an introduction so let's dive into the finer points of this Exhibit. In short, the purpose of this Exhibit is three-fold:

  1. Vouch for the value of blending various fields of study.
  2. Provide a basic tool to help transfer important data from the gilded age (or any age) into a visual medium
  3. Prove Graphs are cool

There is also a fourth, self reflective point where I look at the shortcomings of this exhibit and how I believe they stem from the other three points but that one needs some context and shall remain secret for now. Let's ignore the foreshdaowing and get started with part 1.

By: Matthew Lane

1.Banks, A.S., & Wilson, K.A. (2017). Cross-National Time-Series Data Archive. Databanks International. Jerusalem, Israel. Retrieved from: https://lib.msu.edu/about/data/cnts/