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videoclusterintheupperrightseemstofavorsuperheromovies.Thecluster
on the upper left is dominated by both marketing and higher-level software
development process topics,where as the small cluster on the middle bottom
left features programming topics. The cluster to the left of Tufte central
is dominated by design topics, and below it the music cluster seems to be
mostly alternative. Finally, the biggest and most spatially distant cluster,
separated strangely enough by a number of romantic drama novels, is
dominated by topics on statistics, data analysis, and computational
modeling.
Putting all of that together, you might conclude that buyers of this topic
are also interested in design, computer science, data science, the software
business, alternative music and sci-fi action movies. If you are a fan of
the topic, judge for yourself, but you might find that conclusion to be
surprisingly accurate.
The observations thus far about product relationships are purely based on
co-interest. It would be interesting to see to what degree the categorizations
applied to this topic reflect the same associations.
Back in a Gremlin console, query for all of the category names, as shown
here:
gremlin>
tufteBook.out('categorization').categoryname.dedup().order
==>
==>Amazon.com Stores
==>Art & Music
==>Arts & Photography
==>Books
==>Business & Finance
==>Business & Investing
==>Business & Investing Books
==>Business Life
==>Communication
==>Communications
==>Computer & Internet Books
==>Computer Science & Information Systems
==>Computers & Internet
==>Design
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