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{
  "business_discovery": {
    "followers_count": 267793,
    "media_count": 1205,
    "media": {
      "data": [
        {
          "id": "17858843269216389"
        },
        {

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/* 1 */
{
    "_id" : ObjectId("585b117d111849c160443616"),
    "searchString" : "chicken%20sandwich",
    "searchResults" : [ 
        {
            "name" : "Seasoning Mix, Honey BBQ Chicken Glaze",
            "levenshteinDistance" : 34,
            "hit" : {
                "item_id" : "51c549ef97c3e6efadd6020e",

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var express = require('express')  
var rp = require('request-promise')  
var bodyParser = require("body-parser");


var app = express()

app.use(bodyParser.urlencoded({extended: true}));
app.use(bodyParser.json());

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Smooth transitioning US tour in the same vein as this example. Steps:

1. Compares both shapes and adds evenly-spaced points to whichever polygon has fewer so that both have the same number of points
2. Picks the winding of the first polygon that minimizes the sum of the squared distances between point pairs

Some possible improvements:

• Adding additional points to both shapes first such that every segment longer than a certain distance is bisected
• Tweaking the placement of added points with simulated annealing
• Using a cost function that factors in self-intersections at the halfway mark in addition to distance traveled

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module.exports.register = function (Handlebars, options)  {

Handlebars.registerHelper('concat', function() {
            var outStr = '';
            for(var arg in arguments){
                if(typeof arguments[arg]!='object'){
                    outStr += arguments[arg];
                }
            }
            return outStr;

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Playing with reusing d3.geo for plotting. Subsequent example: http://bl.ocks.org/monfera/11085004

Mike Bostock and Jason Davies have added cool geo features, some of which can be of interest for regular data plotting too (most of which not covered in this example):

1. The use of projections to easily change between Cartesian, polar, spiral, etc. plots

• d3.geo supports spherical projections; this example projects a sphere-bound spiral

2. Traditional, but data-intensive plots can benefit from adaptive resampling and line simplification

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<?xml version="1.0" encoding="UTF-8"?>
<gpx creator="StravaGPX" version="1.1" xmlns="http://www.topografix.com/GPX/1/1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.topografix.com/GPX/1/1 http://www.topografix.com/GPX/1/1/gpx.xsd">
 <trk>
  <name>Tour de France - Etape 20... MAGIQUE!</name>
  <trkseg>
   <trkpt lat="45.2027360" lon="6.6691160">
    <ele>0.0</ele>
   </trkpt>
   <trkpt lat="45.2027360" lon="6.6691160">
    <ele>1061.0</ele>

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function JSONToCSVConvertor(JSONData, ReportTitle, ShowLabel) {
    //If JSONData is not an object then JSON.parse will parse the JSON string in an Object
    var arrData = typeof JSONData != 'object' ? JSON.parse(JSONData) : JSONData;
    
    var CSV = '';    
    //Set Report title in first row or line
    
    CSV += ReportTitle + '\r\n\n';

    //This condition will generate the Label/Header