tweets

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

1 row where "created_at" is on date 2021-11-29, favorite_count = 38 and favorited = 1 sorted by lang

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is_quote_status 1 ✖

  • 0 1

favorited 1 ✖

favorite_count 1 ✖

created_at (date) 1 ✖

  • 2021-11-29 · 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
1465395388970590213 Svelte Society 🧡 1176969867733479424 2021-11-29T19:01:01+00:00 You know you want to. Yes. Exactly! Ditch React and use Svelte instead 😎At #SvelteSummit @stolinski showed us the process they went through at @LevelUpTuts doing just that! https://buff.ly/3p89k6w       Buffer 169a89a27ef3ad2a4af15851e3f6452bfeb0ef67 0 [0, 197]             0 13 38 1 1 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]);