This visualization shows my approach to thinking about the world, which is further explained here. I also came up with a way to sample from joint probability distributions for this post, which is further explained here.
Philip Thomas psthomas
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psthomas
/ voting_wisconsin.ipynb
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November 16, 2017 05:19
Code for my blog post looking at a variety of ways to visualize presidential election results. https://pstblog.com/2016/12/08/presidential-election
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psthomas
/ oecd_services_1990_2010.ipynb
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November 16, 2017 05:24
A notebook looking at the relationship between social services spending and health outcomes across the OECD: https://pstblog.com/2016/11/20/social-services
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This scatter plot shows voter turnout and margins by county for the 2004-2016 presidential elections.
This visualization includes a search feature to allow users to filter by state or county, an option to explore "what-if" scenarios by clicking and dragging counties, and an option to weight the county bubble sizes by a variety of metrics.
More info here: https://pstblog.com/2017/06/05/national-election-vis.
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| import requests | |
| import os | |
| import csv | |
| from PIL import Image | |
| from bs4 import BeautifulSoup | |
| import time | |
| import json | |
| import shutil |
psthomas
/ bandit.ipynb
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September 16, 2020 21:48
A Jupyter Notebook taking a look at the multi-armed bandit problem.
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psthomas
/ microcovid.ipynb
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September 16, 2020 22:17
Comparing microcovid estimated infections to seroprevalence studies
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