Allen Downey- Chasing the Overton Window | PyData NYC 2022

Outline: * Young liberals, old conservatives? * Political labels by age * Political labels by cohort * Defining the issues: 15 questions * Political views over time: the Overton window * Political views by cohort: Simpson's paradox * Age-period-cohort analysis * Polarization in the 2010s * Explaining the paradoxes
Methods I'll present include resampling, local regression with LOWESS, logistic regression, and Bayesian statistics, all using NumPy, SciPy, and Pandas.
Bio:
Allen Downey
Allen Downey is a Staff Scientist at DrivenData and Professor Emeritus at Olin College.
He is the author of several textbooks -- including Think Python, Think Bayes, and Elements of Data Science -- and "Probably Overthinking It", a blog about data science and Bayesian statistics. He received a Ph.D. in computer science from U.C. Berkeley and Bachelor's and Master's degrees from MIT.
===
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Want to help add timestamps to our KZbin videos to help with discoverability? Find out more here: github.com/num...

[@hadianasliwa9161]

Learned a lot of paradoxes from Allen!