Philip Thomas psthomas

## voting_wisconsin.ipynb

      
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                psthomas
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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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## 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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## HadCRUT.4.5.0.0.monthly_ns_avg.tsv
1850/01   -0.702   -0.758   -0.627   -0.892   -0.513   -1.051   -0.354   -0.899   -0.501   -1.102   -0.299
1850/02   -0.281   -0.334   -0.214   -0.470   -0.093   -0.622    0.059   -0.478   -0.078   -0.673    0.117
1850/03   -0.732   -0.797   -0.681   -0.935   -0.530   -1.009   -0.455   -0.943   -0.519   -1.080   -0.382
1850/04   -0.569   -0.628   -0.503   -0.773   -0.365   -0.824   -0.314   -0.785   -0.356   -0.904   -0.237
1850/05   -0.326   -0.382   -0.277   -0.521   -0.131   -0.591   -0.061   -0.531   -0.126   -0.662    0.005
1850/06   -0.212   -0.272   -0.156   -0.402   -0.022   -0.436    0.013   -0.414   -0.016   -0.515    0.085
1850/07   -0.128   -0.188   -0.075   -0.316    0.059   -0.392    0.135   -0.325    0.066   -0.457    0.199
1850/08   -0.232   -0.283   -0.182   -0.419   -0.046   -0.540    0.075   -0.425   -0.038   -0.595    0.132
1850/09   -0.435   -0.487   -0.384   -0.642   -0.227   -0.739   -0.131   -0.650   -0.220   -0.808   -0.063
1850/10   -0.452   -0.506   -0.390   -0.660   -0.244   -0.719

## gbd_stacked.ipynb

      
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                psthomas
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              December 22, 2016 20:55
            
              
                IPython notebook exploring some additions to the Global Burden of Disease Study. https://pstblog.com/2016/09/28/gbd-additions
              
          
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## explore-individuals.ipynb

      
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              December 22, 2016 20:51
            
              
                A further analysis of the IGM Experts forum data, focusing on individual characteristics. http://pstblog.com/2016/08/23/individual-chars
              
          
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## explore.ipynb

      
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                psthomas
                / explore.ipynb
            
            
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              December 22, 2016 20:49
            
              
                Code for scraping and exploring data from the IGM Experts Forum. http://pstblog.com/2016/08/16/explore-igmforum
              
          
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## main.py
import requests
import os
import csv
from PIL import Image
from bs4 import BeautifulSoup
import time
import json

import shutil

## Dockerfile
# Example Dockerfile
FROM hello-world

## .block
scrolling: yes
border: yes
	1850/01 -0.702 -0.758 -0.627 -0.892 -0.513 -1.051 -0.354 -0.899 -0.501 -1.102 -0.299
	1850/02 -0.281 -0.334 -0.214 -0.470 -0.093 -0.622 0.059 -0.478 -0.078 -0.673 0.117
	1850/03 -0.732 -0.797 -0.681 -0.935 -0.530 -1.009 -0.455 -0.943 -0.519 -1.080 -0.382
	1850/04 -0.569 -0.628 -0.503 -0.773 -0.365 -0.824 -0.314 -0.785 -0.356 -0.904 -0.237
	1850/05 -0.326 -0.382 -0.277 -0.521 -0.131 -0.591 -0.061 -0.531 -0.126 -0.662 0.005
	1850/06 -0.212 -0.272 -0.156 -0.402 -0.022 -0.436 0.013 -0.414 -0.016 -0.515 0.085
	1850/07 -0.128 -0.188 -0.075 -0.316 0.059 -0.392 0.135 -0.325 0.066 -0.457 0.199
	1850/08 -0.232 -0.283 -0.182 -0.419 -0.046 -0.540 0.075 -0.425 -0.038 -0.595 0.132
	1850/09 -0.435 -0.487 -0.384 -0.642 -0.227 -0.739 -0.131 -0.650 -0.220 -0.808 -0.063
	1850/10 -0.452 -0.506 -0.390 -0.660 -0.244 -0.719
	import requests
	import os
	import csv
	from PIL import Image
	from bs4 import BeautifulSoup
	import time
	import json

	import shutil