Nick Kolegraff koooee

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

	-- get the size of tables and indexes in the database
	-- https://wiki.postgresql.org/wiki/Disk_Usage
	SELECT nspname \|\| '.' \|\| relname AS "relation",
	pg_size_pretty(pg_relation_size(C.oid)) AS "size"
	FROM pg_class C
	LEFT JOIN pg_namespace N ON (N.oid = C.relnamespace)
	WHERE nspname NOT IN ('pg_catalog', 'information_schema')
	ORDER BY pg_relation_size(C.oid) DESC
	LIMIT 20;

	sudo port install gcc45 +gfortran
	sudo ln -s /opt/local/bin/gfortran-mp-4.5 /opt/local/bin/gfortran
	ls -al /opt/local/bin/ \| grep gfortran
	sudo easy_install scipy #lingalg
	sudo easy_install gensim #topic modeling
	sudo easy_install pyyaml nltk #NLP
	sudo easy_install networkx Matplotlib #graphs