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tweets

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

1 row where "created_at" is on date 2021-11-14, is_quote_status = 0, retweet_count = 36, retweeted = 0 and source = "1f89d6a41b1505a3071169f8d0d028ba9ad6f952" sorted by lang

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user 1 ✖

  • swyx 1

source 1 ✖

  • Twitter Web App · 1 ✖

retweeted 1 ✖

  • - · 1 ✖

retweet_count 1 ✖

  • 36 · 1 ✖

created_at (date) 1 ✖

  • 2021-11-14 · 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
1459979460397068295 swyx 33521530 2021-11-14T20:20:03+00:00 Super underrated way to level up: 1. Find an industry leader who has more ideas than bandwidth (read: all of them) 2. Do something small for them 3. Do something bigger with them 4. Start something with them 5. Realize you now have more ideas than bandwidth       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 258]             0 36 306 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]);
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