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

1 row where "created_at" is on date 2021-09-25, is_quote_status = 0 and user = 2932738834 sorted by lang

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user 1 ✖

  • Angie Jones · 1 ✖

source 1 ✖

  • Twitter Web App 1

retweeted 1 ✖

  • 0 1

is_quote_status 1 ✖

  • - · 1 ✖

created_at (date) 1 ✖

  • 2021-09-25 · 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
1441794957543608324 Angie Jones 2932738834 2021-09-25T16:01:19+00:00 The problem with learning from experts is that they are so far removed from square one. Their material assumes some foundational knowledge. Newbies, don't be afraid to share what you're learning. From the beginning. We - even the experts - need your fresh perspective!       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 269]             0 470 2330 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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