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<!DOCTYPE html>
<meta charset="utf-8">
<title>Australian 2011 Census Explorer - Yuri Feldman</title>
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<style>
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<h1>Census Explorer</h1>
<div id="body">
<a name="vis"></a>
<div class="charts">
<div class="chart">
<div class="title">Median Age</div>
<div class="description">Years</div>
</div>
<div class="chart">
<div class="title">Weekly Median Personal Income</div>
<div class="description">AUD</div>
</div>
<div class="chart">
<div class="title">Weekly Median Rent</div>
<div class="description">AUD</div>
</div>
<div class="chart">
<div class="title">Year 12 or Equivalent Complete</div>
<div class="description">Percentage of population</div>
</div>
</div>
<div class="charts">
<div class="chart">
<div class="title">Volunteers</div>
<div class="description">Percentage of population</div>
</div>
<div class="chart">
<div class="title">Born Outside Australia</div>
<div class="description">Percentage of population</div>
</div>
<div class="chart">
<div class="title">Labour Force</div>
<div class="description">Percentage of population</div>
</div>
<div class="chart">
<div class="title">Unemployment</div>
<div class="description">1/1000 of population</div>
</div>
<aside id="totals"><span id="active">-</span> of <span id="total">-</span> areas selected.</aside>
<div id="hover"></div>
<svg id="map" style="border: 1px solid #eee; width: 100%; height: 400px;"></div>
<div class="text attribution">
<p>
By Yuri Feldman (<a href="http://www.twitter.com/arrayjam">@arrayjam</a>) for GovHack 2013. Made with d3.js, crossfilter and topojson.
</p>
<p>
Based on <a href="http://www.abs.gov.au">Australian Bureau of Statistics data</a>.
</p>
</div>
<div class="text">
<h2>Introduction</h2>
<p>For GovHack, I built this visualisation of the Statistical Area 2 data from the Australian 2011 Census. This tool lets you filter the Victorian data along different dimensions. The fields have been hand-picked, but the data is raw, and the application could be generalised to all the census data.</p>
<h2>Instructions</h2>
<p>To use, click and drag the bar charts to filter the data. You can drag multiple charts to refine the query. The map shows which areas have been filtered out, and which ones match the current query. This lets you quickly explore interesting datasets.</p>
<p>You can also click on a chart title to select it. This lets you always see the values of that dimension on the map as a choropleth</p>
<h2>Analysis</h2>
<p>
Using this, we can see that country residents are <a href="javascript:filter([null, null, null, null, null, [0, 2], null, null])">likely to have been born in Australia</a> and <a href="javascript:filter([null, null, [0, 250], null, null, null, null, null])">pay less rent</a>. It can also show us mutivariate statistical data. We can find the <a href="javascript:filter([[43, 80], [700, 1400], null, null, null, null, null, null])">rich older people</a>, <a href="javascript:filter([null, [0, 400], null, null, null, [2, 20], [0, 50], null])">low-income migrants who are not in the labour force</a>, and the <a href="javascript:filter([[0, 28], [0, 500], null, [50, 100], null, null, null, null])">young educated hipsters</a>. By selecting a range from one dimension and dragging it along the graph, we can see that (obviously) <a href="javascript:filter([null, [300, 400], null, null, null, null, null, null])">income</a> correlates to rent, involvement in the labour force, and education.</p>
</div>
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