issue_comments
4 rows where issue = 274314940 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Consider data-package as a format for metadata · 4 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 345809808 | https://github.com/simonw/datasette/issues/105#issuecomment-345809808 | https://api.github.com/repos/simonw/datasette/issues/105 | MDEyOklzc3VlQ29tbWVudDM0NTgwOTgwOA== | simonw 9599 | 2017-11-20T19:50:53Z | 2017-11-20T19:50:53Z | OWNER | OK, https://github.com/openclimatedata/global-carbon-budget/blob/master/datapackage.json really does look like it covers all of the bases I need for #138. Closing this ticket in favour of that new one. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Consider data-package as a format for metadata 274314940 | |
| 345503897 | https://github.com/simonw/datasette/issues/105#issuecomment-345503897 | https://api.github.com/repos/simonw/datasette/issues/105 | MDEyOklzc3VlQ29tbWVudDM0NTUwMzg5Nw== | rgieseke 198537 | 2017-11-19T09:38:08Z | 2017-11-19T09:38:08Z | CONTRIBUTOR | Thanks, I wrote this very simple reader because the default approach as described on the Datahub pages seemed to complicated. I had metadata from the This could also be useful for getting from Data Package to SQL db: https://github.com/frictionlessdata/tableschema-sql-py I maintain a few climate science related dataset at https://github.com/openclimatedata/ The Data Retriever (mainly ecological data) by @ethanwhite et al. is also using the Data Package format for metadata and has some tooling for different dbs: https://frictionlessdata.io/articles/the-data-retriever/ https://github.com/weecology/retriever The Open Power System Data project also has a couple of datasets that show nicely how CSV is great for assembling and then already make SQLite files available. It's one of the first data sets I tried with Datasette, perfect for the use case of getting an API for putting power stations on a map ... |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Consider data-package as a format for metadata 274314940 | |
| 345494052 | https://github.com/simonw/datasette/issues/105#issuecomment-345494052 | https://api.github.com/repos/simonw/datasette/issues/105 | MDEyOklzc3VlQ29tbWVudDM0NTQ5NDA1Mg== | simonw 9599 | 2017-11-19T05:49:53Z | 2017-11-19T05:49:53Z | OWNER | {
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Consider data-package as a format for metadata 274314940 | ||
| 345493344 | https://github.com/simonw/datasette/issues/105#issuecomment-345493344 | https://api.github.com/repos/simonw/datasette/issues/105 | MDEyOklzc3VlQ29tbWVudDM0NTQ5MzM0NA== | simonw 9599 | 2017-11-19T05:28:49Z | 2017-11-19T05:28:49Z | OWNER | Looks like there are a ton of interesting datasets packaged in this way at http://datahub.io/docs/core-data - see also https://github.com/datasets |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Consider data-package as a format for metadata 274314940 |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);
user 2