The problem context involves understanding the distribution of city populations across different continents. This is important for various reasons such as planning for resources, understanding migration patterns, or studying demographic trends.
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The solution approach involves joining the 'country' and 'city' tables based on the country code. Then, it groups the data by continent and calculates the average city population for each continent. The 'floor' function is used to round down the result to the nearest whole number.
select country.continent, floor(avg(city.population)) from country join city on city.countrycode = country.code group by country.continent;
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