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import requests
from bs4 import BeautifulSoup
import pandas as pd
import re

# Climate Commons (available stories from WayBack Machine)

base = "https://web.archive.org/web/20160822185508/http://climatecommons.earthjournalism.net/map/data/load_stories.php"

res = requests.get(base).json()

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from itertools import groupby
from operator import itemgetter

with open("tester2.txt") as f:
    content = f.readlines()

spoken = []
i = 1
for line in content:
	leading_space = len(line) - len(line.lstrip())

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library(ggplot2)
library(ngram)
library(jsonlite)
library(tidyr)

# Setup

script_title = "star_wars_the_force_awakens"

colors <- list(

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# pie chart exploration

library(ggplot2)
library(ngram)
library(jsonlite)
library(tidyr)
library(RColorBrewer)
library(dplyr)
library(scales)

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var COLOR = {
  xinxiang: 'ff0000',
  milan:    '0000ff',
  tehran:   '00ff00'
};

var xinxiang = ee.Feature(    // xinxiang
    ee.Geometry.Rectangle(113.6, 35.1, 114.4, 35.5),
    {label: 'xinxiang'});
var milan = ee.Feature(  // milan

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