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Honest question: Is anybody actually able to extract valuable information out of that type of visualization? They always seem like a bag of wool that my cat wo
by elcapitan 10y ago
Honest question: Is anybody actually able to extract valuable information out of that type of visualization? They always seem like a bag of wool that my cat would want to play with. Maybe some better plotting algorithm would help?
- kozikow 10y agoI will try out the http://graphistry.com/ http://graphistry.com/ today after work. Zooming and mouse over will help extract information. In the second section of the post I posted some information I extracted. It was hard to balance number of nodes well: - Too few: Interesting clusters like robotics, numpy and openstack start to disappear, as they get dominated by massive clusters like django - Too many: It's hard to see things.
- michaelscott 10y agoThis. Unfortunately there is nothing actionable from this visualisation and, at the risk of sounding like an asshole, it's virtually meaningless. The only piece of information this visualisation does provide is what the largest Python packages are. What's missing is the ability for a user to "separate" clusters into spaces that they care about. Ideally though, the graphic should be able to display the relationships in a way that surfaces visually at a glance.
- kozikow 10y agoI agree. I was planning to add more things, but the weekend ran out. By using graphistry.com I will add: - Zooming in and out. - Mouse over the package to highlight nodes with an edge. - Cluster the packages and let users remove clusters they are not interested in
- michaelscott 10y agoSounds awesome man, keen to see it!
- kozikow 10y agoI added some graphistry and clustering analysis to the link.