@rhyolight @chrismetcalf still, looks good and something I've been meaning to do. @socrata has a wealth of info. going to try2 hack on this
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Replying to @skram
@rhyolight okay, you're right, a WIP and so a bit difficult for a newbie to get involved. Will watch from afar for a bit first. Great idea.1 reply 0 retweets 0 likes -
Replying to @rhyolight
@rhyolight can you explain in another way? for example a crime dataset might have burglaries and motor vehicle violations?1 reply 0 retweets 0 likes -
Replying to @rhyolight
@rhyolight got it. it's definitely going to differ by data publisher. IMHO, it may not be worth effort to ID by machine and instead [1/2]1 reply 0 retweets 0 likes -
Replying to @skram
@rhyolight do what you have started which is find the needles in the haystack and then annotate them by hand, to prove the concept [2/2]3 replies 0 retweets 0 likes -
Replying to @skram
@skram See https://github.com/rhyolight/soda-tap/issues/8 … for a specific example. Hoping to make this generic enough to be applied to all resources. [1/2]1 reply 0 retweets 0 likes -
Replying to @rhyolight
@rhyolight right - in this case, each beach name is a series/stream. There could be some analysis to see the cardinality of columns1 reply 0 retweets 0 likes
@rhyolight great. I know we are already working on analyzing cardinality (& much more) but dont know when it would be available via API
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