tweets

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

2 rows where retweet_count = 66 and retweeted = 0 sorted by coordinates

✎ View and edit SQL

This data as json, CSV (advanced)

source 1 ✖

retweet_count 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
1448313005331005443 Serverless 4318505893 2021-10-13T15:41:43+00:00 Introducing Serverless Cloud Public Preview! 🚀 Our hyper-productive #serverless app platform with single second deployments is now open to everyone! Claim your profile name and start developing now! https://www.serverless.com/blog/introducing-serverless-cloud-public-preview https://twitter.com/goserverless/status/1448313005331005443/video/1       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 225]             0 66 288 0 0 0 en  
1473695980604305409 Nick Beauchamp 594048820 2021-12-22T16:44:36+00:00 @drewtoothpaste Btw, I wouldn't take this too seriously. Even looking at percentages, there seems to be a seasonal surge in "no smell" each winter. The recent Covid surges are larger, and the first wave is possibly visible as well, but this is also sensitive to how you smooth the data. https://twitter.com/nick_beauchamp/status/1473695980604305409/photo/1       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [16, 286] 1473555762110767109 594048820 nick_beauchamp       0 66 607 0 0 0 en  

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

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]);