{"action":"created","issue":{"url":"https://api.github.com/repos/ropensci/unconf/issues/19","labels_url":"https://api.github.com/repos/ropensci/unconf/issues/19/labels{/name}","comments_url":"https://api.github.com/repos/ropensci/unconf/issues/19/comments","events_url":"https://api.github.com/repos/ropensci/unconf/issues/19/events","html_url":"https://github.com/ropensci/unconf/issues/19","id":59406495,"number":19,"title":"Data 'diff' format","user":{"login":"rdpeng","id":9612,"avatar_url":"https://avatars.githubusercontent.com/u/9612?v=3","gravatar_id":"","url":"https://api.github.com/users/rdpeng","html_url":"https://github.com/rdpeng","followers_url":"https://api.github.com/users/rdpeng/followers","following_url":"https://api.github.com/users/rdpeng/following{/other_user}","gists_url":"https://api.github.com/users/rdpeng/gists{/gist_id}","starred_url":"https://api.github.com/users/rdpeng/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rdpeng/subscriptions","organizations_url":"https://api.github.com/users/rdpeng/orgs","repos_url":"https://api.github.com/users/rdpeng/repos","events_url":"https://api.github.com/users/rdpeng/events{/privacy}","received_events_url":"https://api.github.com/users/rdpeng/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":13,"created_at":"2015-03-01T17:10:57Z","updated_at":"2015-03-24T13:38:23Z","closed_at":null,"body":"One thing I've always wanted is a 'diff' type output for datasets (let's say tabular datasets for now). When I use git to manage projects, changes to the datasets I use are difficult to visualize using the standard diff output, which is line based. That works when rows are changed but not when columns are added/deleted or transformations are made. Is there a way to categorize the types of changes that can be made to a dataset and then visualize them in a useful way?"},"comment":{"url":"https://api.github.com/repos/ropensci/unconf/issues/comments/85499770","html_url":"https://github.com/ropensci/unconf/issues/19#issuecomment-85499770","issue_url":"https://api.github.com/repos/ropensci/unconf/issues/19","id":85499770,"user":{"login":"gmbecker","id":908721,"avatar_url":"https://avatars.githubusercontent.com/u/908721?v=3","gravatar_id":"","url":"https://api.github.com/users/gmbecker","html_url":"https://github.com/gmbecker","followers_url":"https://api.github.com/users/gmbecker/followers","following_url":"https://api.github.com/users/gmbecker/following{/other_user}","gists_url":"https://api.github.com/users/gmbecker/gists{/gist_id}","starred_url":"https://api.github.com/users/gmbecker/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gmbecker/subscriptions","organizations_url":"https://api.github.com/users/gmbecker/orgs","repos_url":"https://api.github.com/users/gmbecker/repos","events_url":"https://api.github.com/users/gmbecker/events{/privacy}","received_events_url":"https://api.github.com/users/gmbecker/received_events","type":"User","site_admin":false},"created_at":"2015-03-24T13:38:23Z","updated_at":"2015-03-24T13:38:23Z","body":"Maybe, though that requires us to write it in C/C++ instead of the much\neasier R. There are benefits (though not that many to R users), but pretty\nmajor downsides too.\n\nI would argue that - for prototyping algorithms and features, at least -\nimplementing it initially in R is a more efficient use of our time.\n\nRemember what Duncan always said: for every two lines of C you write, you\nintroduce 3  bugs.\n\n~G\n\nOn Mon, Mar 23, 2015 at 10:18 PM, Vince Buffalo <notifications@github.com>\nwrote:\n\n> Me too! I really like this idea. In the Unix tradition, I think the best\n> approach to an implementation might be a C or C++ library and command line\n> tool (e.g. like curl). The, we could maybe write a simple R wrapper.\n>\n> —\n> Reply to this email directly or view it on GitHub\n> <https://github.com/ropensci/unconf/issues/19#issuecomment-85344082>.\n>\n\n\n\n-- \nGabriel Becker, PhD\nComputational Biologist\nBioinformatics and Computational Biology\nGenentech, Inc.\n"}}