tweets
1 row where is_quote_status = 0, retweeted = 0, source = "1f89d6a41b1505a3071169f8d0d028ba9ad6f952" and user = 594048820 sorted by lang
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created_at (date) 1 ✖
id | user | created_at | full_text | retweeted_status | quoted_status | place | source | truncated | display_text_range | in_reply_to_status_id | in_reply_to_user_id | in_reply_to_screen_name | geo | coordinates | contributors | is_quote_status | retweet_count | favorite_count | favorited | retweeted | possibly_sensitive | lang ▼ | scopes |
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1473695980604305409 | Nick Beauchamp 594048820 | 2021-12-22T16:44:36+00:00 | @drewtoothpaste Btw, I wouldn't take this too seriously. Even looking at percentages, there seems to be a seasonal surge in "no smell" each winter. The recent Covid surges are larger, and the first wave is possibly visible as well, but this is also sensitive to how you smooth the data. https://twitter.com/nick_beauchamp/status/1473695980604305409/photo/1 | Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 | 0 | [16, 286] | 1473555762110767109 | 594048820 | nick_beauchamp | 0 | 66 | 607 | 0 | 0 | 0 | en |
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CREATE TABLE [tweets] ( [id] INTEGER PRIMARY KEY, [user] INTEGER REFERENCES [users]([id]), [created_at] TEXT, [full_text] TEXT, [retweeted_status] INTEGER, [quoted_status] INTEGER, [place] TEXT REFERENCES [places]([id]), [source] TEXT REFERENCES [sources]([id]), [truncated] INTEGER, [display_text_range] TEXT, [in_reply_to_status_id] INTEGER, [in_reply_to_user_id] INTEGER, [in_reply_to_screen_name] TEXT, [geo] TEXT, [coordinates] TEXT, [contributors] TEXT, [is_quote_status] INTEGER, [retweet_count] INTEGER, [favorite_count] INTEGER, [favorited] INTEGER, [retweeted] INTEGER, [possibly_sensitive] INTEGER, [lang] TEXT, [scopes] TEXT, FOREIGN KEY([retweeted_status]) REFERENCES [tweets]([id]), FOREIGN KEY([quoted_status]) REFERENCES [tweets]([id]) ); CREATE INDEX [idx_tweets_source] ON [tweets] ([source]);