tweets

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

1 row where favorited = 0, retweet_count = 14 and retweeted = 0 sorted by lang

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user 1 ✖

retweeted 1 ✖

retweet_count 1 ✖

is_quote_status 1 ✖

  • 0 1

created_at (date) 1 ✖

quoted_status 0 ✖

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
1284597930398105600 swyx 33521530 2020-07-18T21:16:27+00:00 The primary beneficiary of you being #1 on Product Hunt is Product Hunt. The primary beneficiary of you being Employee of the Month is your Employer. The primary beneficiary of you going viral on Twitter is Twitter. Youre surprised *everything* around you is designed this way?       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 280] 1284596781779767297 33521530 swyx       0 14 136 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]);