This data is prior to Musk's acquisition of Twitter. Twitter has always struggled with user engagement.

Link to dataset and analysis (free to copy):

https://rows.com/Henrique/startups/analysis-on-us-social-media-companies-5RSHslXuZHRnbBgGU6GsZ5/live

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Source: https://en.wikipedia.org/wiki/List_of_social_platforms_with_at_least_100_million_active_users

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Visualization tool: rows.com

That’s the point. They are essentially not correlated

It’s true, it should be faster. The backend of this is a spreadsheet (so is the FE) so it’s a bunch of Vlookups together to create grid.

Good point. I didn’t split that but the dataset seems pretty “randomly” distributed. Did you check the dataset?

Yes that’s what surprised me the most. If you see the full analysis you can the countries above and below the line, along with other correlations

Based on a comparative analysis of World Happiness Score, GDP per capita and Human Development Index score.Link to analysis and dataset

Source: Our World in Data

https://ourworldindata.org/grapher/gdp-per-capita-worldbank

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Visualization tool: rows.com

I just confirmed and you’re right. I was pulling data from Our world in data be must be doing something wrong in some countries.

According to them, Hong Kong in 2019 is 65% coal and 35% gas.

Thanks for spotting this, I’ll update the underlaying dataset

You're right, it is electricity. The title is incorrect.

Energy would also count heating (not generated by electricity) and transportation, right.

Thank you 🙏

It was a bug, thanks for spotting! Just fixed it

Good question! This is done on a spreadsheet with a table with the energy breakdown by source per country. Then it builds the emoji table when the country changes.

Having one build emoji table per country would be way too heavy, that’s why.

Link with tool to check for any country

https://rows.com/Henrique/world-data/country-electricity-production-4xqtJEDPR7ppP2bKOjzjFh/live

Source data is from Our World in Data

Visualization tool: rows.com