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var Chart = (function(window,d3) {

  var svg, data, x, y, xAxis, yAxis, dim, chartWrapper, line, path, margin = {}, width, height, locator;

  var breakPoint = 768;

  d3.csv('data.csv', init); //load data, then initialize chart
  
  //called once the data is loaded
  function init(csv) {

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French soccer championship 2014/2015 replay, inspired by the #Oscars Race from Nicolas Belmonte.

forked from bricedev's block: French soccer championship replay

forked from anonymous's block: French soccer championship replay

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Fork of mbostock's block http://bl.ocks.org/mbostock/280d83080497c8c13152.

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CREATE TABLE images as
SELECT ROWID, "tile_data", tile_row as "tile_id"
FROM "tiles"
ORDER BY ROWID

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<customMapSource>
  <name>Google SAT</name>
  <minZoom>0</minZoom>
  <maxZoom>19</maxZoom>
  <tileType>JPG</tileType>
  <tileUpdate>IfNoneMatch</tileUpdate>
  <url>http://mt{$serverpart}.google.com/vt/lyrs=s,m&amp;hl=iw&amp;x={$x}&amp;y={$y}&amp;z={$z}</url>
  <serverParts>0 1 2 3</serverParts>
</customMapSource>

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# First:
lsbom -f -l -s -pf /var/db/receipts/org.nodejs.pkg.bom | while read f; do  sudo rm /usr/local/${f}; done
sudo rm -rf /usr/local/lib/node /usr/local/lib/node_modules /var/db/receipts/org.nodejs.*

# To recap, the best way (I've found) to completely uninstall node + npm is to do the following:

#go to /usr/local/lib and delete any node and node_modules
cd /usr/local/lib
sudo rm -rf node*

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------------------------------------------------------------------------------------------------------------------------------
    DESCRIPTION:
        Notes for deploying TileStream on an AWS EC2 Ubuntu 12.04.2 Server for development.  Includes workflow for creating
        a local tile cache with TileMill, connecting to your Ubuntu EC2 server via SSH using Mac OSX Terminal, and uploading                  
        your tiles (.mbtiles) to your TileStream server.

    REFERENCES:
        TileStream git repo: https://github.com/mapbox/tilestream
-----------------------------------------------------------------------------------------------------------------------------

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# coding=utf-8

from bs4 import BeautifulSoup
import csv
import requests


with open('washington.csv', 'w') as csvfile:
    fieldnames = ['flat','url','lat','lon','usr','price_night']
    writer = csv.DictWriter(csvfile, delimiter=';',fieldnames=fieldnames)

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An arrangement of items made through aRanger.