https://github.com/ajduberstein/academic_salaries_visualization

A visualization of public university faculty salaries over time.
https://github.com/ajduberstein/academic_salaries_visualization

Last synced: 25 days ago
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A visualization of public university faculty salaries over time.

• Host: GitHub
• URL: https://github.com/ajduberstein/academic_salaries_visualization
• Owner: ajduberstein
• License: other
• Created: 2014-03-30T21:33:38.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2014-03-31T19:30:17.000Z (over 10 years ago)
• Last Synced: 2023-03-27T17:12:54.622Z (over 1 year ago)
• Language: JavaScript
• Homepage:
• Size: 324 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
Miami University and Association of Public and Land-Grant Universities d3.js Visualization

========

Here you'll find the source code for my d3.js visualization of public salary data, as well as the

data this was generated off of. I received the data on request from Miami University, Oxford, in

2012. 

There was some intermediate cleaning of the data I received from Miami:

- There are a handful of missing values, particularly in 2004. Rather than impute these, I've

excluded them from this analysis.

- Additionally, departments change names, split, merge, and disappear entirely. I've done my best to make

these changes self-evident in the data through my labels.

- I received nominal wage values, subject to what I like to call the 

["These Amps Go Up to 11"](http://en.wikipedia.org/wiki/Up_to_eleven) 

problem—nominal labels hide real impact of relative changes.

In order to highlight meaningful changes, I converted these to real wages using 

[Oregon State University's freely available inflation data](http://oregonstate.edu/cla/polisci/individual-year-conversion-factor-tables) 

for 2013, the most recent year of data available as of this analysis.

I'll post the wage data before I cleaned it in Excel to this repository, as well.

##Running the d3 example locally

Assuming you have Git and Python installed, go forth and run the following command:

`git clone https://github.com/ajduberstein/academic_salaries_visualization.git`

Then kick off a Python SimpleHTTPServer in the same directory:

`python -m SimpleHTTPServer 3000`

In your favorite browser (which is obviously HTML5-compatible, because you are a man or woman of taste and class), go to:

`localhost:3000/faculty_salary.html`

##Acknowledgements

I owe this visualization to the [d3.js](http://d3js.org/) project. 

I also credit [Scott Murray's awesome book](http://www.amazon.com/Interactive-Data-Visualization-Scott-Murray/dp/1449339735).