***** soodoku

## rerandomization.R
## Re-randomization

# Load libs
library(dplyr)
library(tidyr)
library(compositions)
library(faux)
library(Rfast)

# Set seed

## unique_words_hindi_monolingual.ipynb

      
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                soodoku
                / unique_words_hindi_monolingual.ipynb
            
            
              Created Dec 18, 2021
            
              
                IIT monolingual hindi database to list of unique words
              
          
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## read_parsed_dmoz.py
import csv
import pandas as pd
import numpy as np

df = pd.read_csv('parsed-new.csv', header = None, delimiter="\t", quoting=csv.QUOTE_NONE, encoding='utf-8')

df.head()

## mturk.ipynb

      
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              Created Aug 31, 2018
            
          
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## get_unique_domain_names_from_comscore.py
#
# Get All Unique Domain Names from comScore
#
# INPUT: comScore browsing data file
#
# OUTPUT: a text file containing a list of unique domains
#
# PAREMETERS:
#   + INTERNET_USAGE_FILE: path to the comScore browsing data
#   + FINAL_OUTPUT_FILE: path to intended output file

## county_dma_2016.R

library(readr)
library(dplyr)
a_string <- read_file("nielsen_2016")
split_lines <- strsplit(a_string, "\r\n")[[1]]
split_cols  <- strsplit(split_lines, "--")
dat_frame <- ldply(split_cols)
names(dat_frame) <- c("dma", "counties")
write.csv(dat_frame, file = "dma_counties_2016.csv", row.names = F)

## state_leg_twitter_handles_shor_mccarty_scores.csv

          
            State
            Position
            Name
            @Twitter Handle
            Part Affiliation
            Boris Shor's Score

            
              AZ
              Senator
              David Bradley
              @Bradley4AZ
              Democrat
              -1.253

            
              AZ
              Senator
              Katie Hobbs
              @katiehobbs
              Democrat
              -1.684

            
              AZ
              Senator
              Ed Ableser
              @SenatorAbleser
              Democrat
              -1.606

            
              AZ
              Senator
              Barbara McGuire
              @SenBarbMcGuire
              Democrat
              -0.672

            
              AZ
              Senator
              Steve Farley
              @SteveFarleyAZ
              Democrat
              -1.413

            
              AZ
              Senator
              Adam Driggs
              @AdamDriggs
              Republican
              0.738

            
              AZ
              Senator
              Bob Worsley
              @bob_worsley
              Republican
              0.46

            
              AZ
              Senator
              Kelli Ward
              @kelliwardaz
              Republican
              1.144

            
              AZ
              Senator
              Nancy Barto
              @NancyBarto
              Republican
              0.996

## cces_2006_fairest.R

# Output = http://gbytes.gsood.com/2013/11/02/the-fairest-of-them-all/

# Uses cces_recode.R here: https://github.com/soodoku/in-n-out/scripts/cces_recode.R

# Plotting the fairest of all media
library(lattice)
png("fairmedia.png")
dotplot(t(t(table(droplevels(cces06$fairmedia[cces06$fairmedia != "Don't know"]), cces06$pid3[cces06$fairmedia != "Don't know"]))/colSums(table(droplevels(cces06$v2112[cces06$fairmedia != "Don't know"]), cces06$pid3[cces06$fairmedia != "Don't know"]))),
main = "Which network do you think provides the \n fairest coverage of national news?",

## fun.md

      
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                / fun.md
            
            
              Last active Oct 30, 2017
            
              
                Fun Math
              
          
      View fun.md
  
      
    Fun Math
Fun Fact 1

1 - 1 + 1 - 1 + 1 - 1 + .... = 1/2
Proof (1) by Luigi Grandi:

S  = 1 - 1 + 1 - 1 + 1 - 1 + ...

1 - S = 1 - (1 - 1 + 1 - 1 + 1 - 1 + ...)

= 1 - 1 + 1 - 1 + 1 - 1 + ...

  
## approval.csv
Last,First,N,Mode,Date Start,Date End,TotApp,TotDis,TotDK,DemApp,DemDis,DemDK,RepApp,RepDis,RepDK,IndApp,IndDis,IndDK,LibApp,LibDis,LibDK,ModApp,ModDis,ModDK,ConApp,ConDis,ConDK,Source,Link,,,,,,,,,
Bachmann,Michelle,928,Phone,07/15/11,07/17/11,29,45,26,16,58,26,45,27,28,28,47,24,15,64,21,17,53,30,50,24,26,PPP,http://www.publicpolicypolling.com/pdf/2011/PPP_Release_National_720925.pdf,,,,,,,,,
Bachmann,Michelle,700,Phone,10/07/11,10/10/11,27,56,17,15,68,17,43,36,21,23,64,13,11,77,12,14,62,23,49,34,17,PPP,http://www.publicpolicypolling.com/pdf/2011/PPP_Release_US_1011513.pdf,,,,,,,,,
Bachmann,Michelle,700,Phone,12/16/11,12/18/11,30,54,16,22,65,13,41,39,19,26,59,16,21,71,8,20,67,12,42,34,23,PPP,http://www.publicpolicypolling.com/pdf/2011/PPP_Release_National_1220925.pdf,,,,,,,,,
Bloomberg,Michael,707,Phone,11/19/10,11/21/10,19,38,44,24,30,46,12,48,40,19,37,44,28,29,43,24,28,48,9,53,39,PPP,http://publicpolicypolling.blogspot.com/2010/11/americans-not-impressed-with-bloomberg.html,,,,,,,,,
Bloomberg,Michael,700,P
	## Re-randomization

	# Load libs
	library(dplyr)
	library(tidyr)
	library(compositions)
	library(faux)
	library(Rfast)

	# Set seed
	import csv
	import pandas as pd
	import numpy as np

	df = pd.read_csv('parsed-new.csv', header = None, delimiter="\t", quoting=csv.QUOTE_NONE, encoding='utf-8')

	df.head()
	#
	# Get All Unique Domain Names from comScore
	#
	# INPUT: comScore browsing data file
	#
	# OUTPUT: a text file containing a list of unique domains
	#
	# PAREMETERS:
	# + INTERNET_USAGE_FILE: path to the comScore browsing data
	# + FINAL_OUTPUT_FILE: path to intended output file

	library(readr)
	library(dplyr)
	a_string <- read_file("nielsen_2016")
	split_lines <- strsplit(a_string, "\r\n")[[1]]
	split_cols <- strsplit(split_lines, "--")
	dat_frame <- ldply(split_cols)
	names(dat_frame) <- c("dma", "counties")
	write.csv(dat_frame, file = "dma_counties_2016.csv", row.names = F)
State	Position	Name	@Twitter Handle	Part Affiliation	Boris Shor's Score
AZ	Senator	David Bradley	@Bradley4AZ	Democrat	-1.253
AZ	Senator	Katie Hobbs	@katiehobbs	Democrat	-1.684
AZ	Senator	Ed Ableser	@SenatorAbleser	Democrat	-1.606
AZ	Senator	Barbara McGuire	@SenBarbMcGuire	Democrat	-0.672
AZ	Senator	Steve Farley	@SteveFarleyAZ	Democrat	-1.413
AZ	Senator	Adam Driggs	@AdamDriggs	Republican	0.738
AZ	Senator	Bob Worsley	@bob_worsley	Republican	0.46
AZ	Senator	Kelli Ward	@kelliwardaz	Republican	1.144
AZ	Senator	Nancy Barto	@NancyBarto	Republican	0.996

	# Output = http://gbytes.gsood.com/2013/11/02/the-fairest-of-them-all/

	# Uses cces_recode.R here: https://github.com/soodoku/in-n-out/scripts/cces_recode.R

	# Plotting the fairest of all media
	library(lattice)
	png("fairmedia.png")
	dotplot(t(t(table(droplevels(cces06$fairmedia[cces06$fairmedia != "Don't know"]), cces06$pid3[cces06$fairmedia != "Don't know"]))/colSums(table(droplevels(cces06$v2112[cces06$fairmedia != "Don't know"]), cces06$pid3[cces06$fairmedia != "Don't know"]))),
	main = "Which network do you think provides the \n fairest coverage of national news?",
	Last,First,N,Mode,Date Start,Date End,TotApp,TotDis,TotDK,DemApp,DemDis,DemDK,RepApp,RepDis,RepDK,IndApp,IndDis,IndDK,LibApp,LibDis,LibDK,ModApp,ModDis,ModDK,ConApp,ConDis,ConDK,Source,Link,,,,,,,,,
	Bachmann,Michelle,928,Phone,07/15/11,07/17/11,29,45,26,16,58,26,45,27,28,28,47,24,15,64,21,17,53,30,50,24,26,PPP,http://www.publicpolicypolling.com/pdf/2011/PPP_Release_National_720925.pdf,,,,,,,,,
	Bachmann,Michelle,700,Phone,10/07/11,10/10/11,27,56,17,15,68,17,43,36,21,23,64,13,11,77,12,14,62,23,49,34,17,PPP,http://www.publicpolicypolling.com/pdf/2011/PPP_Release_US_1011513.pdf,,,,,,,,,
	Bachmann,Michelle,700,Phone,12/16/11,12/18/11,30,54,16,22,65,13,41,39,19,26,59,16,21,71,8,20,67,12,42,34,23,PPP,http://www.publicpolicypolling.com/pdf/2011/PPP_Release_National_1220925.pdf,,,,,,,,,
	Bloomberg,Michael,707,Phone,11/19/10,11/21/10,19,38,44,24,30,46,12,48,40,19,37,44,28,29,43,24,28,48,9,53,39,PPP,http://publicpolicypolling.blogspot.com/2010/11/americans-not-impressed-with-bloomberg.html,,,,,,,,,
	Bloomberg,Michael,700,P