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<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>Vulnerability Assessment Framework - Jordan </title>
<meta content='width=device-width, initial-scale=1, maximum-scale=1, user-scalable=no' name='viewport'>
<link href="//maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css" rel="stylesheet" type="text/css" />
<link href="//cdnjs.cloudflare.com/ajax/libs/font-awesome/4.1.0/css/font-awesome.min.css" rel="stylesheet" type="text/css" />
<!-- Theme style -->
<link rel="stylesheet" type="text/css" href="css/vafTheme.css" />
<!-- Bootstrap -->
<link rel="stylesheet" type="text/css" href="css/bootstrap.min.css">
<link rel="stylesheet" type="text/css" href="css/dc.css"/>
<link rel="stylesheet" type="text/css" href="css/3w-dashboard.css"/>
<!-- Add IntroJs styles and JS -->
<link rel="stylesheet" type="text/css" href="css/introjs.min.css" >
<script type="text/javascript" src="js/intro.min.js"></script>
<script src="js/jquery.js"></script>
<script src="js/intro.js"></script>
<!-- map the data to the GeoJSON object -->
<script src="js/data-jo.js"></script>
<link href="http://www.unhcr.org/favicon.ico" rel="icon" type="image/x-icon">
</head>
<body class="skin-blue">
<div style="display: none;" class="col-sm-4 col-md-offset4" id="loading">
<h1>Patience: We are wrapping up the data... </h1><small>This webpage does not work on IE8 or older... Upgrade your browser if needed</small>
</div>
<!-- header logo: style can be found in header.less -->
<header class="header">
</header>
<div id="dashboard">
<!-- Right side column. Contains the navbar and content of the page -->
<aside class="right-side">
<!-- Content Header (Page header) -->
<section class="content-header">
<h1><strong> Vulnerability Assessment Framework (VAF) - Jordan</strong></h1>
<div class="row">
<div class="col-lg-4 col-xs-4">
<font color=#FFFFFF> <strong>Second draft - work in progress - <a href="indexa.html">first draft for record here</a></strong><br>
This data visualisation displays vulnerability profiles, calculated from a <i>"welfare statistical model"</i> and based on information collected through interviews
with syrian refugee households in Jordan in the second half of 2014. <br >
For a full explanation of the VAF model, please visit <a href="http://data.unhcr.org/syrianrefugees/working_group.php?Page=Country&LocationId=107&Id=69"> our dedicated portal page</a>.<br >
The methodology for interviews is not randomized, which could lead to some bias. <a href="http://data.unhcr.org/syrianrefugees/working_group.php?Page=Country&LocationId=107&Id=69">An analysis of
the bias vs sample</a> confirmed that the sample is defensible for analysis purposes at a national level.
At the governorate and district level, there may be further limitations in sample size.<br > </font>
</div>
<div class="col-lg-4 col-xs-4">
<div id="count-info" data-step="1" data-intro="This displays the number of families you filtered. Use the reset button to delete all your filters" data-position="right">
<p></p><strong><span class="filter-count"></span></strong> families selected out of <strong><span class="total-count"></span></strong>
records in the sample, corresponding to <strong><span id="totalind" class="number-display"></span> individuals</strong>.
</p>
</div>
<a class="reset btn btn-primary btn-sm" id="reset" href="javascript:dc.filterAll();dc.redrawAll();">Reset All</a>
<a class="btn btn btn-success" href="javascript:void(0);" onclick="javascript:introJs().start();">How to explore this page?</a>
</div>
<div class="col-lg-4 col-xs-4">
<ol class="breadcrumb">
<strong> <font color=#000000> Members of VAF Steering Committee: </font></strong> <br >
<i>NGOs</i>: <img border="0" height="33" src="images/partner/acted.jpg" />
<img border="0" height="33" src="images/partner/care.jpg" />
<img border="0" height="33" src="images/partner/drc.jpg" />
<img border="0" height="33" src="images/partner/hi.jpg" />
<img border="0" height="33" src="images/partner/pu-ami.jpg" /> <br >
<i>UN Agencies</i>: <img border="0" height="33" src="images/partner/unhcr1.jpg" />
<img border="0" height="33" src="images/partner/unicef.jpg" />
<img border="0" height="33" src="images/partner/wfp.jpg" />
<img border="0" height="33" src="images/partner/unwomen.jpg" />
<img border="0" height="33" src="images/partner/who.jpg" /> <br >
<i>Donors</i>: <img border="0" height="33" src="images/partner/hacp.jpg" />
<img border="0" height="33" src="images/partner/usa.jpg" />
</ol>
</div>
</div>
</section>
<!-- Main content -->
<section class="content">
<!-- Small boxes (Stat box) -->
<div class="row">
<div class="col-lg-3 col-xs-6" data-step="2" data-intro="This displays the vulnerability level" data-position="right">
<div class="small-box bg-green">
<span class="small-box-footer">
<font color=#FFFFFF> Vulnerability Threeshold </font><br > <small> According to Welfare model</small>
</span>
<div class="inner">
<div id="thresholds"> </div>
</div>
</div>
</div>
<div class="col-lg-3 col-xs-6" data-step="3" data-intro="This displays the welfare level" data-position="right">
<div class="small-box bg-green">
<span class="small-box-footer">
<font color=#FFFFFF> Welfare histogram </font><br > <small> According to Welfare model</small>
</span>
<div class="inner">
<div id="welfarep"> </div>
</div>
</div>
</div>
<div class="col-lg-3 col-xs-6" data-step="3" data-intro="This displays the welfare level" data-position="right">
<div class="small-box bg-green">
<span class="small-box-footer">
<font color=#FFFFFF> Crowding histogram </font><br > <small> </small>
</span>
<div class="inner">
<div id="crowdingp"> </div>
</div>
</div>
</div>
<div class="col-lg-3 col-xs-6" data-step="3" data-intro="This displays the welfare level" data-position="right">
<div class="small-box bg-green">
<span class="small-box-footer">
<font color=#FFFFFF> Income histogram </font><br > <small> According to Welfare model</small>
</span>
<div class="inner">
<div id="incomep"> </div>
</div>
</div>
</div>
<div class="col-lg-3 col-xs-6" data-step="3" data-intro="This displays the welfare level" data-position="right">
<div class="small-box bg-green">
<span class="small-box-footer">
<font color=#FFFFFF> Debt to expenditure ratio histogram </font><br > <small> According to Welfare model</small>
</span>
<div class="inner">
<div id="debtexpp"> </div>
</div>
</div>
</div>
</div>
<div class="row">
<div class="col-lg-2 col-xs-2" data-step="3" data-intro="This displays the bulnerability level" data-position="right">
<!-- <div class="small-box bg-yellow"> -->
<div class="small-box bg-red">
<span class="small-box-footer">
<font color=#FFFFFF> Valid Legal Documentation </font><br > <small> UNHCR Asylum Seeker Certificate / MOI Card</small>
</span>
<div class="inner">
<div id="asc"> </div>
</div>
</div>
</div>
<div class="col-lg-2 col-xs-2" data-step="4" data-intro="This displays the bulnerability level" data-position="right">
<!-- <div class="small-box bg-red"> -->
<div class="small-box bg-red">
<span class="small-box-footer">
<font color=#FFFFFF> Governorate Registered with MOI </font> <br > <small> Home visit took place in the governorate where MOI card was issued</small>
</span>
<div class="inner">
<div id="moi"> </div>
</div>
</div>
</div>
</div>
<div class="row">
<!-- Left col -->
<section class="col-lg-8 connectedSortable">
<div class="row">
<div class="col-lg-2 col-xs-2">
<div class="small-box bg-aqua">
<span class="small-box-footer">
<font color=#FFFFFF> Age & Sex Breakdown </font>
</span>
<div class="inner">
<table cellpadding="0" cellspacing="1" width="100%" class='demoTable' style="margin-top: 7px;">
<tr>
<td class="demoTableRowCenter" style="text-align: left; width: auto;" colspan="2" style="border-bottom: 1px dotted #dcdcdc;">
<b>Male</b>
(49.1%)
</td>
<td class="demoTableRowCenter" align="center" style="border-bottom: 1px dotted #dcdcdc;">
<b>Age</b>
</td>
<td class="demoTableRowCenter" style="text-align: right; width: auto;" colspan="2" style="border-bottom: 1px dotted #dcdcdc;">
(50.9%)
<b>Female</b>
</td>
</tr>
<tr>
<td align="" width="50px"></td>
<td style="text-align: right;" width="115px" height="8px"></td>
<td align="" width="70px"></td>
<td align="left" width="115px"></td>
<td align="" width="50px"></td>
</tr>
<tr class="demoTableFullRow">
<td class="demoTableRow" style="text-align: center; width: auto;" width="50px">9.3%</td>
<td class="demoTableRow" style="text-align: right; width: auto;" width="115px"><img src="images/barchart.jpg" width="39.715554943352%" height="12" align="right"/></td>
<td class="demoTableRowCenter" style="text-align: center; width: auto;" width="70px"><b>0 - 4</b></td>
<td class="demoTableRow" style="text-align: left; width: auto;" width="115px" ><img src="images/barchartf.jpg" align="left" width="37.509556114191%" height="12"/></td>
<td class="demoTableRow" style="text-align: center; width: auto;" width="50px">8.8%</td>
</tr>
<tr class="demoTableFullRow">
<td class="demoTableRow" style="text-align: center; width: auto;" width="50px">10.8%</td>
<td class="demoTableRow" style="text-align: right; width: auto;" width="115px"><img src="images/barchart.jpg" width="45.960949068494%" height="12" align="right"/></td>
<td class="demoTableRowCenter" style="text-align: center; width: auto;" width="70px"><b>5 - 11</b></td>
<td class="demoTableRow" style="text-align: left; width: auto;" width="115px" ><img src="images/barchartf.jpg" align="left" width="43.743930576122%" height="12"/></td>
<td class="demoTableRow" style="text-align: center; width: auto;" width="50px">10.2%</td>
</tr>
<tr class="demoTableFullRow">
<td class="demoTableRow" style="text-align: center; width: auto;" width="50px">6.9%</td>
<td class="demoTableRow" style="text-align: right; width: auto;" width="115px"><img src="images/barchart.jpg" width="29.612589965219%" height="12" align="right"/></td>
<td class="demoTableRowCenter" style="text-align: center; width: auto;" width="70px"><b>12 - 17</b></td>
<td class="demoTableRow" style="text-align: left; width: auto;" width="115px" ><img src="images/barchartf.jpg" align="left" width="27.668308137333%" height="12"/></td>
<td class="demoTableRow" style="text-align: center; width: auto;" width="50px">6.5%</td>
</tr>
<tr class="demoTableFullRow">
<td class="demoTableRow" style="text-align: center; width: auto;" width="50px">20.7%</td>
<td class="demoTableRow" style="text-align: right; width: auto;" width="115px"><img src="images/barchart.jpg" width="88.514756017769%" height="12" align="right"/></td>
<td class="demoTableRowCenter" style="text-align: center; width: auto;" width="70px"><b>18 - 59</b></td>
<td class="demoTableRow" style="text-align: left; width: auto;" width="115px" ><img src="images/barchartf.jpg" align="left" width="100%" height="12"/></td>
<td class="demoTableRow" style="text-align: center; width: auto;" width="50px">23.4%</td>
</tr>
<tr class="demoTableFullRow">
<td class="demoTableRow" style="text-align: center; width: auto;" width="50px">1.4%</td>
<td class="demoTableRow" style="text-align: right; width: auto;" width="115px"><img src="images/barchart.jpg" width="6.1606804642033%" height="12" align="right"/></td>
<td class="demoTableRowCenter" style="text-align: center; width: auto;" width="70px"><b>60 +</b></td>
<td class="demoTableRow" style="text-align: left; width: auto;" width="115px" ><img src="images/barchartf.jpg" align="left" width="8.428664898929%" height="12"/></td>
<td class="demoTableRow" style="text-align: center; width: auto;" width="50px">2%</td>
</tr>
<tr>
<td align="" width="50px"></td>
<td style="text-align: right;" width="115px" height="10px"></td>
<td align="" width="70px"></td>
<td align="left" width="115px"></td>
<td align="" width="50px"></td>
</tr>
</table>
</div>
</div>
</div>
<div class="col-lg-3 col-xs-3" data-step="5" data-intro="This displays the bulnerability level" data-position="right">
<div class="small-box bg-aqua">
<span class="small-box-footer">
<font color=#FFFFFF> Size of visited families per Governorate</font>
</span>
<div class="inner">
<div id="sizep"> </div>
</div>
</div>
</div>
<div class="col-lg-3 col-xs-3" data-step="5" data-intro="This displays the vulnerability level" data-position="right">
<div class="small-box bg-aqua">
<span class="small-box-footer">
<font color=#FFFFFF> Number of visited families per Governorate</font>
</span>
<div class="inner">
<div id="governoratep"> </div>
</div>
</div>
</div>
<div class="col-lg-3 col-xs-3" data-step="6" data-intro="This displays the bulnerability level" data-position="right">
<div class="small-box bg-aqua">
<span class="small-box-footer">
<font color=#FFFFFF> Number of visited families for Top 10 Districts</font>
</span>
<div class="inner">
<div id="districtp"> </div>
</div>
</div>
</div>
<!--
<div class="col-lg-3 col-xs-6">
<div class="nav-tabs-custom">
<ul class="nav nav-tabs pull-right">
<li class="pull-left header"><i class="fa fa-inbox"></i>Threshold of Vulnerability - per Governorate </li>
</ul>
<div class="tab-content no-padding">
<div id="stackedbar-chart"> </div>
</div>
</div>
</div>
-->
</div>
<!-- Custom tabs (Charts with tabs)-->
<div class="nav-tabs-custom">
<!-- Tabs within a box for date trend -->
<ul class="nav nav-tabs pull-right">
<li class="active"><a href="#eijRange" data-toggle="tab" onclick="$('#hvrange').hide();$('#eijRange').show();">Entry in Jordan</a></li>
<li><a href="#hvrange" data-toggle="tab" onclick="$('#eijRange').hide();$('#hvrange').show();">Home Visit Date</a></li>
<li class="pull-left header"><i class="fa fa-inbox"></i> Trend by Date</li>
</ul>
<div class="tab-content no-padding">
<!-- Morris chart - Sales -->
<div class="chart tab-pane" id="hvrange" style="position: relative; height: 400px;">
<div id="month" style="position: relative; height: 400px;"></div>
<div id="monthrange" style="position: relative; height: 100px;"></div>
</div>
<div class="chart tab-pane" id="eijRange" style="position: relative; height: 400px;">
<div id="eijmonth" style="position: relative; height: 400px;"></div>
<div id="eijmonthrange" style="position: relative; height: 100px;"></div>
</div>
</div>
</div><!-- /.nav-tabs-custom -->
</section><!-- /.Left col -->
<!-- right col (We are only adding the ID to make the widgets sortable)-->
<section class="col-lg-4 connectedSortable">
<!-- Map box -->
<div class="box box-solid bg-light-blue-gradient" data-step="7" data-intro="TClick on the map to filter per geographic area" data-position="left">
<div class="box-header">
<!-- tools box icon --><div class="pull-right box-tools"></div><!-- /. tools -->
<h3 class="box-title">
<h4><strong> <font color=#666666> Geographic filter:<a href="javascript:governoratesMapShow();">Governorates</a>
-or- <a href="javascript:districtMapShow();">Districts</a> </font></strong></h4>
</h3>
</div>
<div class="box-body">
<div style="height: 750px;">
<div id="map"></div>
<div id="map2"></div>
</div>
</div><!-- /.box-body-->
<div class="box-footer no-border">
<div class="row">
<div class="col-xs-4 text-center" style="border-right: 1px solid #f4f4f4"></div><!-- ./col -->
</div><!-- /.row -->
</div>
</div>
<!-- /.box -->
</section><!-- right col -->
</div><!-- /.row (main row) -->
</section><!-- /.content -->
</aside><!-- /.right-side -->
</div><!-- ./ dashboard wrapper -->
<script type="text/javascript" src="js/d3_002.js"></script>
<script type="text/javascript" src="js/crossfilter.js"></script>
<script type="text/javascript" src="js/dc.js"></script>
<script type="text/javascript" src="js/d3.tip.min.js"></script>
<script>
function districtMapShow(){
$('#map2').hide();
$('#map').show();
// map2_chart.filterAll();
// dc.redrawAll();
}
function governoratesMapShow(){
$('#map').hide();
$('#map2').show();
}
$('#dashboard').hide();
$('#map2').hide();
$('#eijRange').show();
var dataset;
var threshold_chart = dc.rowChart("#thresholds");
var welfare_chart = dc.barChart("#welfarep");
var asc_chart = dc.pieChart("#asc");
var crowding_chart = dc.barChart("#crowdingp");
var income_chart = dc.barChart("#incomep");
var debtexp_chart = dc.barChart("#debtexpp");
var moi_chart = dc.pieChart("#moi");
var size_chart = dc.rowChart("#sizep");
var gov_chart = dc.rowChart("#governoratep");
var district_chart = dc.rowChart("#districtp");
var month_chart = dc.lineChart("#month");
var monthrange_chart = dc.barChart("#monthrange");
var eijmonth_chart = dc.lineChart("#eijmonth");
var eijmonthrange_chart = dc.barChart("#eijmonthrange");
var map_chart = dc.geoChoroplethChart("#map");
var map2_chart = dc.geoChoroplethChart("#map2");
d3.csv("data/vafdata.csv", function(error, dataset) {
var dateFormat = d3.time.format("%d/%m/%Y");
var numberFormat = d3.format(",f");
dataset.forEach(function (d) {
d.dd = dateFormat.parse(d.HVDate);
d.month = d3.time.month(d.dd); // pre-calculate month for better performance
d.dd1 = dateFormat.parse(d.EiJ);
d.month1 = d3.time.month(d.dd1); // pre-calculate month for better performance
d.close = +d.close; // coerce to number
d.open = +d.open;
});
var cf = crossfilter(dataset);
// Implement bookmarking chart filters status --> Thanks to https://github.com/franckalbinet
// Serializing filters values in URL
function getFiltersValues() {
var filters = [
{ name: 'thresholds', value: threshold_chart.filters()},
{ name: 'welfare', value: welfare_chart.filters()},
{ name: 'crowding', value: crowding_chart.filters()},
{ name: 'income', value: income_chart.filters()},
{ name: 'debtexp', value: debtexp_chart.filters()},
{ name: 'asc', value: asc_chart.filters()},
{ name: 'moi', value: moi_chart.filters()},
{ name: 'map', value: map2_chart.filters()},
{ name: 'size', value: size_chart.filters()},
{ name: 'gov', value: gov_chart.filters()},
{ name: 'dis', value: district_chart.filters()}
];
var recursiveEncoded = $.param( filters );
location.hash = recursiveEncoded;
}
// Init chart filters
function initFilters() {
// Get hash values
var parseHash = /^#asc=([A-Za-z0-9,_\-\/\s]*)&moi=([A-Za-z0-9,_\-\/\s]*)&thresholds=([A-Za-z0-9,_\-\/\s]*)$/;
var parsed = parseHash.exec(decodeURIComponent(location.hash));
function filter(chart, rank) { // for instance chart = sector_chart and rank in URL hash = 1
// sector chart
if (parsed[rank] == "") {
chart.filter(null);
}
else {
var filterValues = parsed[rank].split(",");
for (var i = 0; i < filterValues.length; i++ ) {
chart.filter(filterValues[i]);
}
}
}
if (parsed) {
filter(asc_chart, 1);
filter(moi_chart, 3);
filter(threshold_chart, 4);
filter(gov_chart, 5);
filter(district_chart, 6);
filter(welfare_chart, 7);
filter(size_chart, 8);
filter(crowding_chart, 9);
filter(income_chart, 10);
filter(debtexp_chart, 11);
}
}
// tooltips for row chart
var rowTip = d3.tip().attr('class', 'd3-tip').offset([-10, 0]).html(function (d) { return "<span style='color: #f0027f'>" + d.key + "</span> : " + numberFormat(d.value) + " Families"; });
var pieTip = d3.tip().attr('class', 'd3-tip').offset([-10, -10]).html(function (d) { return "<span style='color: #f0027f'>" + d.data.key + "</span> : " + numberFormat(d.value) + " Families"; });
var barTip = d3.tip().attr('class', 'd3-tip').offset([-10, 0]).html(function (d) { return "<span style='color: #f0027f'>" + d.data.key + "</span> : " + numberFormat(d.y) + " Families";});
var all = cf.groupAll();
var all = cf.groupAll();
dc.dataCount("#count-info")
.dimension(cf)
.group(all);
var byFamily = cf.dimension(function(d) { return d.Total; });
var byFamilyGroup = byFamily.groupAll().reduceSum(function (d) { return d.size; });
dc.numberDisplay("#totalind")
.formatNumber(d3.format(",f"))
.valueAccessor(function(d){return +d})
.group(byFamilyGroup);
cf.thresholds = cf.dimension(function(d) { return d.Thresholds; });
var thresholds = cf.thresholds.group();
var thresholdsByTotal = cf.thresholds.group().reduceSum(function (d) { return d.Total; });
threshold_chart.width(200).height(200)
.dimension(cf.thresholds)
.group(thresholdsByTotal)
.elasticX(true)
.on("filtered", getFiltersValues)
.colors(['#d7301f', /* Extremely Vulnerable */
'#fc8d59', /* Highly Vulnerable` */
'#fdcc8a', /* Low Vulnerable */
'#fef0d9' /* Moderate Vulnerable */
])
.colorDomain([0,4])
.colorAccessor(function(d, i){return i%5;})
.margins({top: 0, right: 5, bottom: 20, left: 5})
.xAxis().ticks(10).tickFormat(d3.format("s"));
cf.welfare = cf.dimension(function(d) { return d.welfare; });
var welfare = cf.welfare.group();
var welfareByTotal = cf.welfare.group().reduceSum(function (d) { return d.Total; });
welfare_chart.width(400).height(200)
.dimension(cf.welfare)
.group(welfareByTotal)
.margins({top: 10, right: 10, bottom: 20, left: 20})
.transitionDuration(500)
.centerBar(true)
.gap(1)
// .filter([1, 8])
.x(d3.scale.linear().domain([1, 120]))
.elasticY(true)
.on("filtered", getFiltersValues)
.xAxis().ticks(10).tickFormat();
cf.crowding = cf.dimension(function(d) { return d.crowding; });
var crowding = cf.crowding.group();
var crowdingByTotal = cf.crowding.group().reduceSum(function (d) { return d.Total; });
crowding_chart.width(400).height(200)
.dimension(cf.crowding)
.group(crowdingByTotal)
.margins({top: 10, right: 10, bottom: 20, left: 20})
.transitionDuration(500)
.centerBar(true)
.gap(1)
// .filter([1, 8])
.x(d3.scale.linear().domain([1, 10]))
.elasticY(true)
.on("filtered", getFiltersValues)
.xAxis().ticks(10).tickFormat();
cf.debtexp = cf.dimension(function(d) { return d.debtexp; });
var debtexp = cf.debtexp.group();
var debtexpByTotal = cf.debtexp.group().reduceSum(function (d) { return d.Total; });
debtexp_chart.width(400).height(200)
.dimension(cf.debtexp)
.group(debtexpByTotal)
.margins({top: 10, right: 10, bottom: 20, left: 20})
.transitionDuration(500)
.centerBar(true)
.gap(1)
// .filter([1, 8])
.x(d3.scale.linear().domain([1, 50]))
.elasticY(true)
.on("filtered", getFiltersValues)
.xAxis().ticks(10).tickFormat();
cf.income = cf.dimension(function(d) { return d.income; });
var income = cf.income.group();
var incomeByTotal = cf.income.group().reduceSum(function (d) { return d.Total; });
income_chart.width(400).height(200)
.dimension(cf.income)
.group(incomeByTotal)
.margins({top: 10, right: 10, bottom: 20, left: 20})
.transitionDuration(500)
.centerBar(true)
.gap(1)
// .filter([1, 8])
.x(d3.scale.linear().domain([1, 120]))
.elasticY(true)
.on("filtered", getFiltersValues)
.xAxis().ticks(10).tickFormat();
cf.moi = cf.dimension(function(d) { return d.ASCMOI; });
var moi = cf.moi.group();
var moiByTotal = cf.moi.group().reduceSum(function (d) { return d.Total; });
moi_chart.width(200).height(200)
.dimension(cf.moi)
.group(moiByTotal)
.renderLabel(true)
.renderTitle(true)
// .elasticX(true)
.on("filtered", getFiltersValues)
.data(function(group) {
return group.top(20);
})
.colors(['#beaed4', /* yes */
'#fdc086', /* no */
'#7fc97f' /* unknow */
])
.colorDomain([0,2])
.colorAccessor(function(d, i){return i%3;})
//.colors(d3.scale.category10()) // (optional) define color function or array for bubbles
// .colorAccessor(function (d) { return d.value.ASCMOI; })
// .colorAccessor(function(d, i){return 1;})
// .xAxis().ticks(6).tickFormat(d3.format("s"))
;
cf.asc = cf.dimension(function(d) { return d.MOIREG; });
var asc = cf.asc.group();
var ascByTotal = cf.asc.group().reduceSum(function (d) { return d.Total; });
asc_chart.width(200).height(200)
.dimension(cf.asc)
.group(ascByTotal)
.renderLabel(true)
.renderTitle(true)
// .elasticX(true)
.on("filtered", getFiltersValues)
.data(function(group) {
return group.top(20);
})
.colors(['#8dd3c7', /*Both Card */
'#ffffb3', /*Non valid UNHCR Card - Valid MoI Card */
'#bebada', /*Only valid UNHCR Card - MoI Card unknwon */
'#fb8072', /*Non valid UNHCR Card - MoI Card unknwon */
'#80b1d3', /*Only valid UNHCR Card */
'#fdb462',/*Non valid UNHCR Card - No MoI Card */
])
.colorDomain([0,5])
.colorAccessor(function(d, i){return i%6;})
// .xAxis().ticks(6).tickFormat(d3.format("s"))
//.margins({top: 0, right: 50, bottom: -1, left: 0})
;
cf.sizec = cf.dimension(function (d) {return d.size;});
var sizec = cf.sizec.group();
var sizecByTotal = cf.sizec.group().reduceSum(function (d) { return d.Total;} );
size_chart.width(320).height(320)
.dimension(cf.sizec)
.group(sizecByTotal)
.elasticX(true)
.on("filtered", getFiltersValues)
.data(function(group) { return group.top(20);})
.colors(['#FFFFFF'])
.colorDomain([0,0])
.colorAccessor(function(d, i){return 1;})
.xAxis().ticks(6).tickFormat(d3.format("s"));
cf.gov = cf.dimension(function (d) {return d.Governorate;});
var gov = cf.gov.group();
var govByTotal = cf.gov.group().reduceSum(function (d) { return d.Total;} );
gov_chart.width(320).height(320)
.dimension(cf.gov)
.group(govByTotal)
.elasticX(true)
.on("filtered", getFiltersValues)
.data(function(group) {
return group.top(20);
})
.colors(['#FFFFFF'])
.colorDomain([0,0])
.colorAccessor(function(d, i){return 1;})
.xAxis().ticks(6).tickFormat(d3.format("s"));
cf.district = cf.dimension(function (d) {return d.District;});
var district = cf.district.group();
var districtByTotal = cf.district.group().reduceSum(function (d) { return d.Total;} );
district_chart.width(320).height(320)
.dimension(cf.district)
.group(districtByTotal)
.elasticX(true)
.on("filtered", getFiltersValues)
.data(function(group) {
return group.top(10);
})
.colors(['#FFFFFF'])
.colorDomain([0,0])
.colorAccessor(function(d, i){return 1;})
.xAxis().ticks(6).tickFormat(d3.format("s"));
/* */
cf.eijMonth = cf.dimension(function (d) {return d.month1;});
var eijMonth = cf.eijMonth.group();
var eijmonthByTotal = cf.eijMonth.group().reduceSum(function (d) { return d.Total;} );
eijmonth_chart.width(920).height(370)
.dimension(cf.eijMonth)
.group(eijmonthByTotal, "Entry in Jordan")
//.renderArea(true)
.transitionDuration(1000)
.margins({top: 30, right: 50, bottom: 25, left: 40})
.mouseZoomable(true)
// Specify a range chart to link the brush extent of the range with the zoom focue of the current chart.
.rangeChart(eijmonthrange_chart)
.x(d3.time.scale().domain([new Date(2011, 0, 1), new Date(2014, 11, 31)]))
//.round(d3.time.month.round)
.xUnits(d3.time.months)
//.elasticY(true)
.renderHorizontalGridLines(true)
.legend(dc.legend().x(800).y(20).itemHeight(13).gap(5))
.brushOn(false)
// Add the base layer of the stack with group. The second parameter specifies a series name for use in the legend
// The `.valueAccessor` will be used for the base layer
.valueAccessor(function (d) {
return d.value;
})
.colors(['#006CA9']);
// stack additional layers with `.stack`. The first paramenter is a new group.
// The second parameter is the series name. The third is a value accessor.
//.stack(monthlyMoveGroup, "Monthly Index Move", function (d) {
// return d.value;
//})
// title can be called by any stack layer.
//.title(function (d) {
// var value = d.value.avg ? d.value.avg : d.value;
// if (isNaN(value)) value = 0;
// return dateFormat(d.key) + "\n" + numberFormat(value);
//});
eijmonthrange_chart.width(920).height(40)
.margins({top: 0, right: 50, bottom: 20, left: 40})
.dimension(cf.eijMonth)
.group(eijmonthByTotal)
//.centerBar(true)
.colors(['#006CA9'])
.gap(1)
.x(d3.time.scale().domain([new Date(2011, 0, 1), new Date(2014, 11, 31)]))
//.round(d3.time.month.round)
//.alwaysUseRounding(true)
.xUnits(d3.time.months);
eijmonthrange_chart.yAxis().ticks(0);
cf.month = cf.dimension(function (d) {return d.month;});
var month = cf.month.group();
var monthByTotal = cf.month.group().reduceSum(function (d) { return d.Total;} );
month_chart.width(920).height(370)
.dimension(cf.month)
.group(monthByTotal, "Home Visit")
//.renderArea(true)
.transitionDuration(1000)
.margins({top: 30, right: 50, bottom: 25, left: 40})
.mouseZoomable(true)
// Specify a range chart to link the brush extent of the range with the zoom focue of the current chart.
.rangeChart(monthrange_chart)
.x(d3.time.scale().domain([new Date(2014, 0, 1), new Date(2014, 11, 31)]))
//.round(d3.time.month.round)
.xUnits(d3.time.months)
//.elasticY(true)
.renderHorizontalGridLines(true)
.legend(dc.legend().x(800).y(20).itemHeight(13).gap(5))
.brushOn(false)
// Add the base layer of the stack with group. The second parameter specifies a series name for use in the legend
// The `.valueAccessor` will be used for the base layer
.valueAccessor(function (d) {
return d.value;
})
.colors(['#006CA9']);
// stack additional layers with `.stack`. The first paramenter is a new group.
// The second parameter is the series name. The third is a value accessor.
//.stack(monthlyMoveGroup, "Monthly Index Move", function (d) {
// return d.value;
//})
// title can be called by any stack layer.
//.title(function (d) {
// var value = d.value.avg ? d.value.avg : d.value;
// if (isNaN(value)) value = 0;
// return dateFormat(d.key) + "\n" + numberFormat(value);
//});
monthrange_chart.width(920).height(40)
.dimension(cf.month)
.group(monthByTotal)
.margins({top: 0, right: 50, bottom: 20, left: 40})
//.centerBar(true)
.colors(['#006CA9'])
.gap(1)
.x(d3.time.scale().domain([new Date(2014, 0, 1), new Date(2014, 11, 31)]))
//.round(d3.time.month.round)
//.alwaysUseRounding(true)
.xUnits(d3.time.months);
monthrange_chart.yAxis().ticks(0);
dc.dataCount("#count-info")
.dimension(cf)
.group(all);
cf.dcode = cf.dimension(function(d) { return d.dcode; });
var dcode = cf.dcode.group();
cf.gcode = cf.dimension(function(d) { return d.gcode; });
var gcode = cf.gcode.group();
/* District map with ID district_c */
d3.json("data/district.geojson", function (governJSON){
map_chart.width(700).height(750)
.dimension(cf.dcode)
.group(dcode)
.colors(['#AAAAAA', '#7A6F83'])
.colorDomain([0, 1])
.on("filtered", getFiltersValues)
.colorAccessor(function (d) {
if(d>0){
return 1;
} else {
return 0;
}
})
.overlayGeoJson(governJSON.features, "District", function (d) {
return d.properties.district_c;
})
.projection(d3.geo.mercator().center([38.32,32]).scale(8200)) /* Center on Jordan */
.title(function (d) {
return "District: " + dcode2dis[d.key];
});
/* Governorate map with ID adm1_code */
d3.json("data/admin1.geojson", function (governJSON){
map2_chart.width(700).height(750)
.dimension(cf.gcode)
.group(gcode)
.colors(['#AAAAAA', '#7A6F83'])
.colorDomain([0, 1])
.on("filtered", getFiltersValues)
.colorAccessor(function (d) {
if(d>0){
return 1;
} else {
return 0;
}
})
.overlayGeoJson(governJSON.features, "Governorates", function (d) {
return d.properties.adm1_code;
})
.projection(d3.geo.mercator().center([38.32,32]).scale(8200)) /* Center on Jordan */
.title(function (d) {
return "Geo-Filter: " + gcode2gov[d.key];
});
$('#loading').hide();
$('#dashboard').show();
dc.renderAll();
/* Customised infobox */
d3.selectAll("g.row").call(rowTip);
d3.selectAll("g.row").on('mouseover', rowTip.show)
.on('mouseout', rowTip.hide);
d3.selectAll(".pie-slice").call(pieTip);
d3.selectAll(".pie-slice").on('mouseover', pieTip.show)
.on('mouseout', pieTip.hide);
});
});
});
</script>
<script type="text/javascript">
/* --------------------------------------------------------------------
// Begin Charting
d3.csv("data/stacked.csv", function(data) {
var minvalrev = 0, minvalunits = 0,
maxvalrev = 0, maxvalunits = 0,
sumunits = 0, sumrev = 0,
sampsize = 0;
var label_array = new Array(), val_array_rev = new Array(), val_array_units = new Array(),
val_array_sum_rev = new Array(),
val_array_stackedbar = new Array();
sampsize = data.length;
for (var i=0; i < sampsize; i++) {
label_array[i] = data[i].Gov;
val_array_stackedbar[i] = { label: label_array[i], Extreme: parseFloat(data[i].Extreme), High: parseFloat(data[i].High), Moderate: parseFloat(data[i].Moderate),
Low: parseFloat(data[i].Low)};
val_array_rev[i] = { Extreme: parseFloat(data[i].Extreme), High: parseFloat(data[i].High), Moderate: parseFloat(data[i].Moderate), Low: parseFloat(data[i].Low) };
sumrev = parseFloat(data[i].Extreme) + parseFloat(data[i].High) + parseFloat(data[i].Moderate) + parseFloat(data[i].Low);
maxvalrev = Math.max(maxvalrev, sumrev );
}
maxvalrev = 1000 * (Math.floor(maxvalrev/1000) + 1);
var w = 920,
h = 200,
labelpad = 100,
p = 10,
barwidth = 45,
bottom = h - 2*p,
colors = ["#FF3333", "#FFC000", "Yellow","#33FF33"],
//colors = ["#D05947", "#F39C12", "Yellow","#00A65A"],
color_stacked = d3.interpolateRgb("#aad", "#556"),
x = d3.scale.linear().domain([0, sampsize+1]).range([0, w - labelpad]),
y2 = d3.scale.linear().domain([0, 10]).range([h,0]);
y = d3.scale.linear().domain([0, maxvalrev]).range([0, bottom]);
var vis = d3.select("#stackedbar-chart")
.append("svg:svg")
.attr("class", "chart")
.attr("width", w + 2*p)
.attr("height", h + 2*p);
// Add first data-series
var bars = vis.selectAll("rect")
.data(val_array_rev)
.enter().append("svg:rect")
.attr("fill", colors[0] )
.attr("x", function(d, i) { return x(i+1); })
.attr("y", function(d) { return bottom - y(d.Extreme); } )
.attr("width", barwidth)
.attr("height", function(d) { return y(d.Extreme); });
var rules = vis.selectAll("g.rule")
.data(val_array_rev)
.enter().append("svg:g")
.attr("class", "rule");
// Add second data-series
rules.append("svg:rect")
.attr("fill", colors[1])
.attr("x", function(d, i) { return x(i+1); })
.attr("y", function(d) { return bottom - y(d.Extreme) - y(d.High); } )
.attr("width", barwidth)
.attr("height", function(d) { return y(d.High); });
// Add third data-series
rules.append("svg:rect")
.attr("fill", colors[2] )
.attr("x", function(d, i) { return x(i+1); })
.attr("y", function(d) { return bottom - y(d.Extreme) - y(d.High) - y(d.Moderate); } )
.attr("width", barwidth)
.attr("height", function(d) { return y(d.Moderate); });
// Add fourth data-series
rules.append("svg:rect")
.attr("fill", colors[3] )
.attr("x", function(d, i) { return x(i+1); })
.attr("y", function(d) { return bottom - y(d.Extreme) - y(d.High) - y(d.Moderate) - y(d.Low); } )
.attr("width", barwidth)
.attr("height", function(d) { return y(d.Low); });
// Add horiz axis labels
rules.append("svg:text")
.attr("y", h)
.attr("x", function(d, i) { return x(i+1) + p; })
.attr("dy", ".35em")
.attr("text-anchor", "middle")
.attr("style","font-size:10px;fill: #000000")
// .text( function(d, i) { if (i % 2 == 0) {return label_array[i];} else {return '';} } );
.text( function(d, i) { return " " + label_array[i];} );
// Custom: Vertical-axis grid + labels
// See default values below
rules.append("svg:line")
//.attr("class", function(d) { return d ? null : "axis"; })
.data(y.ticks(10))
.attr("y1", function(d, i) {return (i+1)* bottom/10;})
.attr("y2", function(d, i) {return (i+1)* bottom/10;})
.attr("x1", 0)
.attr("x2", w - labelpad);
rules.append("svg:text")
.data(y.ticks(10))
.attr("y", function(d, i) {return (i)* bottom/10;} )
.attr("x", w - 50)
.attr("dy", ".35em")
.attr("text-anchor", "end")
.text(function(d, i) { if (10 - i > 0 && i != 0) {return addCommas( '' + (10-i) * maxvalrev/10) ;} else {return '';} });
//.text(function(d, i) { if (y.ticks(10)[10 - i] > 0 && i != 0) {return (10-i) * maxvalrev/10 ;} else {return '';} });
// {return y.ticks(10)[10 - i] ;} else {return '';} });
// ---------------------------------------
// Add Title, then Legend
// ---------------------------------------
vis.append("svg:text")
.attr("x", labelpad / 2)
.attr("y", 35 )
.text("Thresholds");
vis.append("svg:rect")
.attr("fill", colors[0] )
.attr("x", labelpad / 2)
.attr("y", 140 )
.attr("width", 20)
.attr("height", 20);
vis.append("svg:text")
.attr("x", 30 + labelpad / 2)
.attr("y", 155 )
.text("Extreme");
vis.append("svg:rect")