{"action":"created","issue":{"url":"https://api.github.com/repos/ironhack-datalabs/madrid-oct-2018/issues/33","repository_url":"https://api.github.com/repos/ironhack-datalabs/madrid-oct-2018","labels_url":"https://api.github.com/repos/ironhack-datalabs/madrid-oct-2018/issues/33/labels{/name}","comments_url":"https://api.github.com/repos/ironhack-datalabs/madrid-oct-2018/issues/33/comments","events_url":"https://api.github.com/repos/ironhack-datalabs/madrid-oct-2018/issues/33/events","html_url":"https://github.com/ironhack-datalabs/madrid-oct-2018/pull/33","id":373820974,"node_id":"MDExOlB1bGxSZXF1ZXN0MjI1NjU5NDgx","number":33,"title":"[MAD][DATA1018][pandas-project] Maris Font","user":{"login":"marisfont","id":43796849,"node_id":"MDQ6VXNlcjQzNzk2ODQ5","avatar_url":"https://avatars3.githubusercontent.com/u/43796849?v=4","gravatar_id":"","url":"https://api.github.com/users/marisfont","html_url":"https://github.com/marisfont","followers_url":"https://api.github.com/users/marisfont/followers","following_url":"https://api.github.com/users/marisfont/following{/other_user}","gists_url":"https://api.github.com/users/marisfont/gists{/gist_id}","starred_url":"https://api.github.com/users/marisfont/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/marisfont/subscriptions","organizations_url":"https://api.github.com/users/marisfont/orgs","repos_url":"https://api.github.com/users/marisfont/repos","events_url":"https://api.github.com/users/marisfont/events{/privacy}","received_events_url":"https://api.github.com/users/marisfont/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-10-25T08:03:06Z","updated_at":"2018-10-25T12:17:32Z","closed_at":null,"author_association":"NONE","pull_request":{"url":"https://api.github.com/repos/ironhack-datalabs/madrid-oct-2018/pulls/33","html_url":"https://github.com/ironhack-datalabs/madrid-oct-2018/pull/33","diff_url":"https://github.com/ironhack-datalabs/madrid-oct-2018/pull/33.diff","patch_url":"https://github.com/ironhack-datalabs/madrid-oct-2018/pull/33.patch"},"body":"Hola Belen,\r\n\r\nMe gusto mucho este proyecto ya que senti que logre aplicar de una manera mas formal lo que aprendimos en los 3 proyectos anteriores. \r\n\r\nPase casi 2 horas tratando de crear means para cada region, pero se me volvio imposible, asi que termine con soluciones mas sensillas al final, lo que habia hecho al inicio.\r\n\r\nCreo que tienes razon que esta vez busque una base de datos mas sensilla por el miedo al codigo, tendre esto en mente para mis proximas elecciones. Con esto, me gustaria comentar que seria interesante tener una clase o algo donde nos hablen de que tipo de analysis y factores debemos tener en cuenta al seleccionar la base de datos. Como un checklist de recomendaciones.\r\n\r\nP.D. No tengo read me ya que lo hice dentro del jupyter notebook.\r\n\r\nSaludos"},"comment":{"url":"https://api.github.com/repos/ironhack-datalabs/madrid-oct-2018/issues/comments/433027923","html_url":"https://github.com/ironhack-datalabs/madrid-oct-2018/pull/33#issuecomment-433027923","issue_url":"https://api.github.com/repos/ironhack-datalabs/madrid-oct-2018/issues/33","id":433027923,"node_id":"MDEyOklzc3VlQ29tbWVudDQzMzAyNzkyMw==","user":{"login":"Gobinde43","id":22130700,"node_id":"MDQ6VXNlcjIyMTMwNzAw","avatar_url":"https://avatars3.githubusercontent.com/u/22130700?v=4","gravatar_id":"","url":"https://api.github.com/users/Gobinde43","html_url":"https://github.com/Gobinde43","followers_url":"https://api.github.com/users/Gobinde43/followers","following_url":"https://api.github.com/users/Gobinde43/following{/other_user}","gists_url":"https://api.github.com/users/Gobinde43/gists{/gist_id}","starred_url":"https://api.github.com/users/Gobinde43/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Gobinde43/subscriptions","organizations_url":"https://api.github.com/users/Gobinde43/orgs","repos_url":"https://api.github.com/users/Gobinde43/repos","events_url":"https://api.github.com/users/Gobinde43/events{/privacy}","received_events_url":"https://api.github.com/users/Gobinde43/received_events","type":"User","site_admin":false},"created_at":"2018-10-25T12:17:32Z","updated_at":"2018-10-25T12:17:32Z","author_association":"COLLABORATOR","body":"> > Hola Belen,\r\n> > Me gusto mucho este proyecto ya que senti que logre aplicar de una manera mas formal lo que aprendimos en los 3 proyectos anteriores.\r\n> > Pase casi 2 horas tratando de crear means para cada region, pero se me volvio imposible, asi que termine con soluciones mas sensillas al final, lo que habia hecho al inicio.\r\n> > Creo que tienes razon que esta vez busque una base de datos mas sensilla por el miedo al codigo, tendre esto en mente para mis proximas elecciones. Con esto, me gustaria comentar que seria interesante tener una clase o algo donde nos hablen de que tipo de analysis y factores debemos tener en cuenta al seleccionar la base de datos. Como un checklist de recomendaciones.\r\n> > P.D. No tengo read me ya que lo hice dentro del jupyter notebook.\r\n> > Saludos\r\n> \r\n> Tomo nota del feedback , de hacer un off topic para seleccionar bases de datos para posteriores análisis. \r\nPD: Si tienes ocasión, entra en la pull request de Miriam y leete su readme. Cuando lo haces te ayuda mucho luego a llevar los pasos ordenados a código. \r\n\r\n"}}
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