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infovis.html
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infovis.html
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<html>
<head>
<title>DataVis</title>
<link rel="stylesheet" type="text/css" href="style.css">
<link href="introjs.min.css" rel="stylesheet">
<link rel="icon" type="image/png" href="favicon.png">
<script src="js/d3.min.js"></script>
<script src="js/topojson.v1.min.js"></script>
<script type="text/javascript" src="d3-extended/d3-extended.js"></script>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.1.1/jquery.min.js"></script>
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js"></script>
</head>
<body>
<div class="col-md-12" id="info">
<div class="col-md-3">
</div>
<h1 class="col-md-6 text-center">
<span data-step="1" data-intro="This web application gives analysts insight in the municipalities in the Netherlands and their attributes. Source: CBS & Kadaster - Wijk- en buurtkaart 2015" data-position='bottom'> Municipalities in the Netherlands </span>
<a class="btn btn-large btn-default" href="javascript:void(0);" onclick="javascript:introJs().start();"><span class="glyphicon glyphicon-info-sign"></span></a>
</h1>
<div class="col-md-3"></div>
</div>
<div class="col-md-6">
<div data-step="2" data-intro="The map gives a visual representation of the municipalities in the Netherlands. You can highlight and select different municipalities by hovering and clicking. The map is always shown through a choropleth of a selected attribute" data-position='right' id="map">
</div>
</div>
<div class="col-md-6">
<div data-step="3" data-intro="Here the currently highlighted and selected municipalities are shown together with their attributes selected in the scatterplot and the choropleth." data-position='left' id="sel-high">
<div id="highlighted-g" class="col-md-6">
<h4>Highlighted</h4>
</div>
<div id="selected-g" class="col-md-6">
<h4>Selected</h4>
</div>
</div>
<div data-step="4" data-intro="The scatterplot visualizes the values for two selected attributes of the municipalities. Outliers can easily be found here. Also the trendline of the two variables is shown." data-position='left' id="scatterplot">
</div>
<div id="options">
<h3>Options</h3>
<div data-step="5" data-intro="This is a small options menu. Here you can change the attributes for both the choropleth and the scatterplot." data-position='right' id="axes" class="col-md-6">
<div>Change x-axis:<br/>
<select id="select-list-x" class="option-list">
</select>
</div>
<div>Change y-axis:<br/>
<select id="select-list-y" class="option-list">
</select>
</div>
<div>Change choropleth<br/>
<select id="select-choropleth" class="option-list">
</select>
</div>
</div>
<div data-step="6" data-intro="Calculated correlation from scatterplot variables." data-position='top' id="correlation" class="col-md-6">
</div>
<div data-step="7" data-intro="Average value calculated from choropleth variable." data-position='top' id="average" class="col-md-6">
</div>
<div data-step="8" data-intro="This button shows the municipalities that are closest to the mean value of the currently selected choropleth attribute." data-position='top' id="avg_munc" class="col-md-6">
</div>
<div id="other-o" class="col-md-6">
</div>
</div>
</div>
<script src="script.js"></script>
<script src="functions.js"></script>
<script type="text/javascript" src="intro.min.js"></script>
</body>
<html>