In this guide, you will get 595. Big Countries LeetCode Solution with the best time and space complexity. The solution to Big Countries problem is provided in various programming languages like C++, Java, and Python. This will be helpful for you if you are preparing for placements, hackathons, interviews, or practice purposes. The solutions provided here are very easy to follow and include detailed explanations.
+————-+———+
| Column Name | Type |
+————-+———+
| name | varchar |
| continent | varchar |
| area | int |
| population | int |
| gdp | bigint |
+————-+———+
name is the primary key (column with unique values) for this table.
Each row of this table gives information about the name of a country, the continent to which it belongs, its area, the population, and its GDP value.
A country is big if:
it has an area of at least three million (i.e., 3000000 km2), or
it has a population of at least twenty-five million (i.e., 25000000).
Write a solution to find the name, population, and area of the big countries.
Return the result table in any order.
The result format is in the following example.
Example not found
Constraints not found
Complexity Analysis
Time Complexity: Google AdSense
Space Complexity: Google Analytics
595. Big Countries LeetCode Solution in C++
SELECT name, population, area
FROM World
WHERE area >= 3000000 OR population >= 25000000;
/* code provided by PROGIEZ */
