Example for http://stackoverflow.com/questions/29880870/d3-calendar-view-using-json/29888069#29888069
An interactive version of a Reingold–Tilford tree. Click on the nodes to expand or collapse.
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Location | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Australia | 6.2 | 6 | 5.8 | 5.7 | 5.8 | 5.8 | 5.8 | 4.6 | 4.8 | 5.1 | 4.6 | |
Austria | 21.3 | 18.7 | 19.7 | 21 | 22.1 | 24.1 | 25.3 | 27.8 | 27.2 | 26.6 | 29.5 | |
Belgium | 1.3 | 1.5 | 1.6 | 2 | 2.3 | 2.7 | 3.1 | 3.8 | 4.2 | 4.9 | 5.1 | |
Brazil | 39.4 | 42 | 42.3 | 42.9 | 43.3 | 44.4 | 44.5 | 45.8 | 44 | 42.7 | 42.2 | |
Canada | 16.9 | 15.6 | 15.6 | 15.9 | 15.7 | 16.2 | 16.8 | 17.5 | 17.1 | 18 | 17.9 | |
Chile | 26.2 | 24.8 | 24.2 | 25.1 | 25.3 | 23.5 | 24.4 | 26.1 | 22 | 23.1 | 24.1 | |
China (People's Republic of) | 18.4 | 16.2 | 14.5 | 13.7 | 12.8 | 12.5 | 12.6 | 12.1 | 11.4 | 10.7 | 9.8 | |
Czech Republic | 3.7 | 3.4 | 3.8 | 4 | 4.2 | 4.7 | 4.9 | 5.8 | 6.3 | 6.9 | 7.5 | |
Denmark | 11 | 11.9 | 13.6 | 15 | 14.2 | 16.1 | 16.7 | 17.8 | 20 | 22.2 | 24.4 |
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<!DOCTYPE html> | |
<meta charset="utf-8"> | |
<style> | |
.country { | |
fill: green; | |
stroke: darkgrey; | |
stroke-width: .5px; | |
stroke-linejoin: round; | |
} |
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<!DOCTYPE html> | |
<html> | |
<head lang="en"> | |
<meta charset="UTF-8"> | |
<title>Final Map</title> | |
<script src="//d3js.org/d3.v3.min.js"></script> | |
<script src="//d3js.org/topojson.v1.min.js"></script> | |
<script src="http://d3js.org/queue.v1.min.js"></script> | |
<style> | |
* { |
This example shows how it is possible to use a D3 sunburst visualization (partition layout) with data that describes sequences of events.
A good use case is to summarize navigation paths through a web site, as in the sample synthetic data file (visit_sequences.csv). The visualization makes it easy to understand visits that start directly on a product page (e.g. after landing there from a search engine), compared to visits where users arrive on the site's home page and navigate from there. Where a funnel lets you understand a single pre-selected path, this allows you to see all possible paths.
Features:
- works with data that is in a CSV format (you don't need to pre-generate a hierarchical JSON file, unless your data file is very large)
- interactive breadcrumb trail helps to emphasize the sequence, so that it is easy for a first-time user to understand what they are seeing
- percentages are shown explicitly, to help overcome the distortion of the data that occurs wh
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<!DOCTYPE html> | |
<html> | |
<head lang="en"> | |
<meta charset="UTF-8"> | |
<title>Final Map</title> | |
<script src="//d3js.org/d3.v3.min.js"></script> | |
<script src="//d3js.org/topojson.v1.min.js"></script> | |
<style> | |
* { | |
margin: 0; |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<meta charset="utf-8"> | |
<title>NY State Counties With Map Markers</title> | |
<style> | |
body { | |
margin-top: 50px; | |
padding: 0; | |
background-color: #eee8d5; |
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<!DOCTYPE html> | |
<html class="ocks-org do-not-copy"> | |
<meta charset="utf-8"> | |
<title>Object Constancy</title> | |
<!-- <head><link rel="stylesheet" type="text/css" href="flu_style.css" /></head> --> | |
<style> | |
/*default font*/ |