Group member
Alyson Yu, Jiaxin Huang, Junhua Deng.
Inspiration
A lot of people have fought for women’s rights including the right to live free from violence and discrimination for years, so we'd like to how serious is the gender discrimination problem, and analyze the data to see if the movement indeed alleviated this problem.
What it does
The project mainly answers three questions: 1) What was the percentage of average female share of total employment from 1990-2020, and how has the percentage changed in recent years? 2) Is there gender discrimination in job hunting from 2000 to 2014? If so, has the employment situation of females improved in these 15 years? Moreover, is there any link/relationship between sexism in work and sexism in education? 3)Are women more likely to be affected by extreme situations such as worldwide financial crises than men are in terms of employment rates?
How we built it
We build the project in Ed shared workplace.
Challenges we ran into
How to clean data and construct data frames that are able to perform our tasks more effectively, and also learning new libraries.
Accomplishments that we're proud of
We learned how to use SciPy to do statistical analysis on our data.
What we learned
How to cooperate with group members, and how to process and analyze "real" data.
What's next for Gender discrimination in employment
Find more comprehensive data sets, and group countries based on different factors to do deeper analysis.
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