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Congrats Matt! Very cool to see.

A question. I'm trying to find a tool to visualise and document the evolution of obscure sports (purely because I find the interactions fascinating). It seems that your tool might be the perfect fit, especially the "writing" examples. I was wondering if it would be possible to visualise something along the lines of a quasi-directed graph. Nodes being specific instances of the inception of a "new" sport (hence the date requirement), and edges being the influence on other spots. Multiple edges for each node are possible, and all sports will have a start date and some an end date. I tried[2] with a basic POC but it seems the issue is that the nodes run without an end date, which breaks the dependency visualisation.

One comment. Once logged in I wasn't easily able to get back to the landing page, which had some useful info around visualisation types that I wanted to review.

And a note. I've apologised to a few people who I subjected to a variation on your SQL screener interview question [2], which contained far too much fiddling with SQLite time functions, entirely my mistake in ruining an otherwise great basic SQL test!

[1] https://www.preceden.com/timelines/868890-obscure-sports?s=e... [2] https://mattmazur.com/2018/11/12/analyzing-89-responses-to-a...



Glad you found that SQL screener interview question helpful and sorry if the date/time manipulation made it more complex than it needed to be :).

Regarding the visualization capabilities: I would change the shape of the events from a line to a solid bar. When you combine that with the connections (which you're already using) it will look more like a directed graph like you're interested in. End dates are optional for events, so you should be able to get by with or without it. Happy to discuss more over email: help@preceden.com. Regardless, good luck with your visualization, it's a fascinating use case.


Thanks, I think the gant format might be too restricting in the end, but I'll see how far I can get.




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