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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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"""
Generator for packed circle cartograms
"""
import proj, gisutils

class Cartogram:

	def loadCSV(self, url, key='id', value='val', lon='lon', lat='lat'):
		import csv
		doc = csv.reader(open(url))

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