In a previous blog post, I examined the distribution of gender for invited speakers at the 2018 Geological Society of America Meeting. I did this by hand with the conference schedule printed out. But I wanted to go one step further and see if I could extract long-term trends in GSA participation and parse gender from this data. Unfortunately, GSA does not seem to track this in any public way, so I had to resort to webscraping the 18 webpages (going back to 2003) that contain data on GSA attendees:
Motivating question:
Two months of free time and a stack-exchange question later and I have some results.
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AuthorI started learning how to program in High School. For a while now, I've been learning how to effectively use Matlab and R for data analysis and visualization. I will put the codes I've benchmarked and just interesting plots I make here. Archives
September 2019
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