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5 rows where issue = 271831408

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id ▼ html_url issue_url node_id user created_at updated_at author_association body reactions issue performed_via_github_app
342521344 https://github.com/simonw/datasette/issues/47#issuecomment-342521344 https://api.github.com/repos/simonw/datasette/issues/47 MDEyOklzc3VlQ29tbWVudDM0MjUyMTM0NA== simonw 9599 2017-11-07T15:37:45Z 2017-11-07T15:37:45Z OWNER GDS Registries could be fun too: https://registers.cloudapps.digital/ {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Create neat example database 271831408  
343647102 https://github.com/simonw/datasette/issues/47#issuecomment-343647102 https://api.github.com/repos/simonw/datasette/issues/47 MDEyOklzc3VlQ29tbWVudDM0MzY0NzEwMg== simonw 9599 2017-11-11T07:36:00Z 2017-11-11T07:36:00Z OWNER http://2016.padjo.org/tutorials/data-primer-census-acs1-demographics/ has a sqlite database: http://2016.padjo.org/files/data/starterpack/census-acs-1year/acs-1-year-2015.sqlite I tested this by deploying it here: https://datasette-fewuggrvwr.now.sh/ {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Create neat example database 271831408  
343690060 https://github.com/simonw/datasette/issues/47#issuecomment-343690060 https://api.github.com/repos/simonw/datasette/issues/47 MDEyOklzc3VlQ29tbWVudDM0MzY5MDA2MA== simonw 9599 2017-11-11T19:56:08Z 2017-11-11T19:56:08Z OWNER "parlgov-development.db": { "url": "http://www.parlgov.org/" }, "nhsadmin.sqlite": { "url": "https://github.com/psychemedia/openHealthDataDoodles" } {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Create neat example database 271831408  
343705966 https://github.com/simonw/datasette/issues/47#issuecomment-343705966 https://api.github.com/repos/simonw/datasette/issues/47 MDEyOklzc3VlQ29tbWVudDM0MzcwNTk2Ng== simonw 9599 2017-11-12T01:00:20Z 2017-11-12T01:00:20Z OWNER https://github.com/fivethirtyeight/data has a ton of CSVs {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Create neat example database 271831408  
344132481 https://github.com/simonw/datasette/issues/47#issuecomment-344132481 https://api.github.com/repos/simonw/datasette/issues/47 MDEyOklzc3VlQ29tbWVudDM0NDEzMjQ4MQ== simonw 9599 2017-11-14T03:08:13Z 2017-11-14T03:08:13Z OWNER I ended up shipping with https://fivethirtyeight.datasettes.com/ and https://parlgov.datasettes.com/ {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Create neat example database 271831408  

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CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
, [performed_via_github_app] TEXT);
CREATE INDEX [idx_issue_comments_issue]
                ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
                ON [issue_comments] ([user]);
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