I’ve started learning Python, so I decided to apply some of my newly developing skills to this Tidy Tuesday from a few weeks ago. The data come from the Ask a Manager Survey, which includes earnings information from more than 24,000 self-selecting survey respondents. The respondents are non-random and skew heavily toward white women in professional jobs in the United States. While exploring the data, I found, unsurprisingly, that formal education and years of experience in a field seem to have a profound effect on compensation.
I am an aspiring data scientist and religious studies PhD living in Decatur, Georgia. I am an experienced researcher, writer, editor, teacher, and project manager.
Prior to moving to Georgia, I spent five years as a project manager at the Rosa Luxemburg Stiftung’s New York office. RLS is an an internationally operating, progressive non-profit institution for civic education with 24 regional offices around the world and special consultative status with the United Nations Economic and Social Council. My primary responsibilities concerned socio-ecological transformation, particularly in relationship to the Global South.
My educational background is in South Asian religious studies and culminated in a PhD from Columbia University. Read more about my dissertation and scholarly publications on my research page.
Latest Blog Posts
This week’s Tidy Tuesday deals with commercial fishing on the Great Lakes. While exploring the data, I was struck by a rapid increase followed by a rapid decline in commercial fish hauls. I was further struck by how much of this rise and fall occurred entirely due to one species (alewife) in one lake (Michigan). It turns out that alewife are an invasive species that were first found in Lake Michigan in 1949.
This week’s Tidy Tuesday deals with Mario Kart 64 world records. In my exploration of the data, I found that newly discovered shortcuts can lead to massive improvements in world record times. While the records without shortcuts tend to improve very gradually, records with shortcuts can show large, sudden improvements. Here’s a plot showing the biggest jumps: My source code and data exploration is available on GitHub.