tweets

This is data scraped from swyx's timeline! See blog post

1 row where display_text_range = "[16, 286]", retweet_count = 66 and source = "1f89d6a41b1505a3071169f8d0d028ba9ad6f952"

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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
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]);