{"action":"created","issue":{"url":"https://api.github.com/repos/drivendata/cookiecutter-data-science/issues/127","repository_url":"https://api.github.com/repos/drivendata/cookiecutter-data-science","labels_url":"https://api.github.com/repos/drivendata/cookiecutter-data-science/issues/127/labels{/name}","comments_url":"https://api.github.com/repos/drivendata/cookiecutter-data-science/issues/127/comments","events_url":"https://api.github.com/repos/drivendata/cookiecutter-data-science/issues/127/events","html_url":"https://github.com/drivendata/cookiecutter-data-science/issues/127","id":338376348,"node_id":"MDU6SXNzdWUzMzgzNzYzNDg=","number":127,"title":"Confusing or inconsistent description of make_dataset.py","user":{"login":"jkabrg","id":15805720,"node_id":"MDQ6VXNlcjE1ODA1NzIw","avatar_url":"https://avatars0.githubusercontent.com/u/15805720?v=4","gravatar_id":"","url":"https://api.github.com/users/jkabrg","html_url":"https://github.com/jkabrg","followers_url":"https://api.github.com/users/jkabrg/followers","following_url":"https://api.github.com/users/jkabrg/following{/other_user}","gists_url":"https://api.github.com/users/jkabrg/gists{/gist_id}","starred_url":"https://api.github.com/users/jkabrg/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jkabrg/subscriptions","organizations_url":"https://api.github.com/users/jkabrg/orgs","repos_url":"https://api.github.com/users/jkabrg/repos","events_url":"https://api.github.com/users/jkabrg/events{/privacy}","received_events_url":"https://api.github.com/users/jkabrg/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":5,"created_at":"2018-07-04T21:14:12Z","updated_at":"2018-08-02T15:39:53Z","closed_at":null,"author_association":"NONE","body":"In the README, it says that make_dataset.py is responsible for downloading or generating data. But the comment in the method stub:\r\n```\r\n    \"\"\" Runs data processing scripts to turn raw data from (../raw) into\r\n        cleaned data ready to be analyzed (saved in ../processed).\r\n    \"\"\"\r\n```\r\nsuggests that the data is already present on the machine, at least in some \"raw\" form. It's also not clear whether there is any overlap between `make_features.py` and `make_dataset.py`. Should the created features also be stored in `data/processed`?"},"comment":{"url":"https://api.github.com/repos/drivendata/cookiecutter-data-science/issues/comments/409971300","html_url":"https://github.com/drivendata/cookiecutter-data-science/issues/127#issuecomment-409971300","issue_url":"https://api.github.com/repos/drivendata/cookiecutter-data-science/issues/127","id":409971300,"node_id":"MDEyOklzc3VlQ29tbWVudDQwOTk3MTMwMA==","user":{"login":"karun-r","id":27798467,"node_id":"MDQ6VXNlcjI3Nzk4NDY3","avatar_url":"https://avatars1.githubusercontent.com/u/27798467?v=4","gravatar_id":"","url":"https://api.github.com/users/karun-r","html_url":"https://github.com/karun-r","followers_url":"https://api.github.com/users/karun-r/followers","following_url":"https://api.github.com/users/karun-r/following{/other_user}","gists_url":"https://api.github.com/users/karun-r/gists{/gist_id}","starred_url":"https://api.github.com/users/karun-r/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/karun-r/subscriptions","organizations_url":"https://api.github.com/users/karun-r/orgs","repos_url":"https://api.github.com/users/karun-r/repos","events_url":"https://api.github.com/users/karun-r/events{/privacy}","received_events_url":"https://api.github.com/users/karun-r/received_events","type":"User","site_admin":false},"created_at":"2018-08-02T15:39:53Z","updated_at":"2018-08-02T15:39:53Z","author_association":"NONE","body":"Right, but I am thinking about the case where there is a need for some additional features which would be created as part of the data pipeline so it is essential that the notebook should be able to call few of the utility functions in the make_dataset.py on its own. This would help in showing the user why there was a need for creating new features.\r\n"}}
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