marsimaria

# Google transalte library
import goslate
gs = goslate.Goslate()

# Import sunflower.txt
with open('sunflower.txt', 'r') as f:
    text = f.read()
#    print text

# Make new list "l"

marsimaria

library(igraph)
library(plyr)

# load files into tables
orb.edge <- read.csv("/Users/mariafang/Desktop/NYU/2_AncientData/Week9 Network/orbis_edges_0514.csv")
orb.node <- read.csv("/users/mariafang/Desktop/NYU/2_AncientData/Week9 Network/orbis_nodes_0514.csv")

# merge tables in two
orb.tb1 <- merge(orb.edge, orb.node, by.x="source", by.y="id")
orb.tb2 <- merge(orb.edge, orb.node, by.x="target", by.y="id")

marsimaria

import sys
import re
import json
import random

s = []

from nytimesarticle import articleAPI
for i in range(0, 100):
    api = articleAPI('74548056debe1698254a3a07babc9f84:3:60371965')

marsimaria

import goslate

def generate(text):
    gs = goslate.Goslate()

    with open(text, 'r') as f:
        text = f.read()

    l = []
    for i in range(100):

marsimaria

import goslate

def getText(text):
    gs = goslate.Goslate()

    with open('sunflower.txt', 'r') as f:
        text = f.read()

    l = []
    l_array = []

marsimaria

#load libraries
library(igraph)
library(curl)
library(rgdal)
library(rgeos)
library(maptools)
library(ggplot2)

#load data sets
orbis_edges <-read.csv(curl("https://stacks.stanford.edu/file/druid:mn425tz9757/orbis_edges_0514.csv"),head=TRUE)

marsimaria

marsimaria

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marsimaria

[
    {
        "tombowner": "Kang Ye",
        "period": "Northern Zhou",
        "death_site": "",
        "burial_site": "Xi'an",
        "lived_site": "Ganzhou",
        "origin": "Samarkand"
    },
    {