correlator

project_updates = [['noamlivne@gmail.com',250],
['farrellmeisel@gmail.com',3120],
['stterner@gmail.com',5592],
['hahellyer@gmail.com',300],
['dfaruqi@gmail.com ',2616],
['bfriedman9@gmail.com',3416],
['shadi.abuayyash@gmail.com',3128],
['evadgurevich@gmail.com',528],
['hamid.murad.khan@gmail.com',3832],

correlator

#!/bin/bash

cat $(find app/assets/stylesheets/ -type f) |
grep -Eo '\.[a-z]+[a-z0-9_-]*' | sort | uniq | sed s/.// |

while read CSS; do
  if ! grep -Erqi "([^(remove|has)]?class[(:|=|[:space:]*=>[:space:]*)]*[[:space:]\W]*[(\"|')]*[-a-z0-9[:space:]]*$CSS|\\.$CSS\b)" app/views/ vendor/assets/ app/assets/javascripts/; then
    echo $CSS >> unused.scss;
  fi
done

correlator

Clinton:

Summary
Distinct words: 1339 out of 6101 (0.22)

Linear Histogram
Times said | Number of distinct words
   0..10   |  1232 (20.19%)
  10..20   |    52 (0.85%)
  20..30   |    20 (0.33%)

correlator

import scipy.stats
from scipy import random
import heapq
import networkx as nx
from copy import deepcopy
import matplotlib.pyplot as plt
matplotlib.rcParams.update({'font.size': 22})
 
class Community():
    """

correlator

states.each do |state|
  csv = CSV.open("/mnt/nbec_voterdata/scott/match_stats/#{state.downcase}/county_zip5_birthdate_initials", 'wb')
  table = MasterVoter.on(state)
  totals = table.where({ is_dropped_from_file: false }).count(group: ['county', 'residential_zip5', 'born_at', "CONCAT(LEFT(first_name, 1), LEFT(last_name, 1))"])
  totals.values.each { |v| csv << [v] }
  csv.close()
  totals = nil
  GC.start()
end