tweets

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

1 row where favorited = 0, quoted_status = 970106789189636098 and retweeted = 0 sorted by lang

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user 1 ✖

retweeted 1 ✖

retweet_count 1 ✖

  • 0 1

quoted_status 1 ✖

  • 970106789189636098 · 1 ✖

is_quote_status 1 ✖

  • 1 1

created_at (date) 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
1468158323992059904 swyx 33521530 2021-12-07T09:59:56+00:00 @jakobgreenfeld that's some pretty damn quick number crunching skills there! i have another fun metric for you to try: Number of PH #1 of the day winners that now 404. it was roughly 10-15% when i checked 2017's winners in 2018 https://twitter.com/swyx/status/970106789189636098?s=20   970106789189636098 970106789189636098   Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [16, 253] 1468157620741722121 1285142519525892098 jakobgreenfeld       1 0 4 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]);