Inspiration
Curiosity as to if there are reasons why some industries have such a gender disparity.
What it does
Analyzes gendered wording in job postings over time from 2004 to 2024.
How we built it
We used R and online databases.
Challenges we ran into
The sheer amount of data in the data frames took a while to compute and compile into something that works.
Accomplishments that we're proud of
We made a research project in 24 hours!
What we learned
How to effectively use ggplot2 and work with large csv files.
What's next for Apply Gender Here
Possibly a further look into the data to fully see trends.
We are submitting to the linguistics.
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