We often come across useful data in popular social media such as Twitter, LinkedIn, Facebook and others. Using AI tools such as ChatGPT, Google Bard, and Python,
we can transform this data into useful and visually appealing charts. Data Found on Twitter
Twitter is a treasure repository of useful data. From the World of Statistics, @stats_feed, we have the
following data:
Lines of code:
MS-DOS: 4 thousand
WhatsApp: 30 thousand
Telegram: 50 thousand
Zoom: 60 thousand
TikTok: 80 thousand
Space Shuttle: 400 thousand
Minecraft: 500 thousand
Instagram: 1 million
US Military Drone: 3.5 million
YouTube: 5.4 million
World of Warcraft: 5.5 million
Boeing 787: 6.5 million
Google Chrome: 6.7 million
Chevy Volt: 10 million
Twitter: 10 million
Android: 12 million
iOS: 12 million
Mozilla Firefox: 21 million
Windows XP: 45 million
Large Hadron Collider: 50 million
Ubuntu: 50 million
Facebook: 62 million
MacOS X: 84 million
Tesla: 100 million
Google: 2 billion
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We often come across useful data in popular social media such as Twitter, LinkedIn, Facebook and others. Using AI tools such as ChatGPT, Google Bard, and Python, we can transform this data into useful and visually appealing charts.
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We often come across useful data in popular social media such as Twitter, LinkedIn, Facebook and others. Using AI tools such as ChatGPT, Google Bard, and Python, we can transform this data into useful and visually appealing charts.
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