Create 5 Cool Facts for Datasets 6-10

[popovayoana]

Description

We need to create engaging and interesting facts for the next five datasets listed on DataHub (datasets 6-10).

Tasks

• [x] Pick the next 5 datasets (datasets 6-10) from this issue: https://github.com/datopian/datahub-next/issues/543
• [x] For each dataset, create a "cool fact"
• [x] Add the facts here: https://docs.google.com/document/d/1TNogd6WiyyW06Z67VVRNbkFvCda-LqYug-EaLfvb5Yg/edit?usp=sharing
• [x] Send to @olayway and @anuveyatsu for a review
• [ ] Get feedback
• [ ] Apply any changes based on feedback
• [ ] Done

Datasets featured in newsletter

• [x] https://datahub.io/core/country-codes 1 edition
• [x] https://datahub.io/core/s-and-p-500-companies 2 edition
• [x] https://datahub.io/core/airport-codes 3 edition
• [x] https://datahub.io/core/geo-countries 4 edition
• [x] https://datahub.io/core/global-temp 5 edition
• [x] https://datahub.io/core/language-codes 6 edition
• [x] https://datahub.io/core/s-and-p-500 7 edition
• [x] https://datahub.io/core/glacier-mass-balance 8 edition
• [x] https://datahub.io/core/co2-ppm 9 edition
• [x] https://datahub.io/core/house-prices-us 10 edition
• [ ] https://datahub.io/core/continent-codes
• [ ] https://datahub.io/core/sea-level-rise
• [ ] https://datahub.io/core/eu-emissions-trading-system
• [ ] https://datahub.io/core/gold-prices
• [ ] https://datahub.io/core/s-and-p-500-companies-financials
• [ ] https://datahub.io/core/un-locode
• [ ] https://datahub.io/core/world-cities
• [ ] https://datahub.io/core/finance-vix
• [ ] https://datahub.io/core/nasdaq-listings
• [ ] https://datahub.io/core/country-list

[popovayoana]

@anuveyatsu @olayway Please give me feedback about the cool facts and help me choose the most interesting ones: https://docs.google.com/document/d/1TNogd6WiyyW06Z67VVRNbkFvCda-LqYug-EaLfvb5Yg/edit?tab=t.0