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leetcode/595-big-countries/README.md
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<h2><a href="https://leetcode.com/problems/big-countries/">595. Big Countries</a></h2><h3>Easy</h3><hr><div class="sql-schema-wrapper__3VBi"><a class="sql-schema-link__3cEg">SQL Schema<svg viewBox="0 0 24 24" width="1em" height="1em" class="icon__1Md2"><path fill-rule="evenodd" d="M10 6L8.59 7.41 13.17 12l-4.58 4.59L10 18l6-6z"></path></svg></a></div><div><p>Table: <code>World</code></p>
<pre>+-------------+---------+
| Column Name | Type |
+-------------+---------+
| name | varchar |
| continent | varchar |
| area | int |
| population | int |
| gdp | int |
+-------------+---------+
name is the primary key column 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.
</pre>
<p>&nbsp;</p>
<p>A country is <strong>big</strong> if:</p>
<ul>
<li>it has an area of at least&nbsp;three million (i.e., <code>3000000 km<sup>2</sup></code>), or</li>
<li>it has a population of at least&nbsp;twenty-five million (i.e., <code>25000000</code>).</li>
</ul>
<p>Write an SQL query to report the name, population, and area of the <strong>big countries</strong>.</p>
<p>Return the result table in <strong>any order</strong>.</p>
<p>The query result format is in the following example.</p>
<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>
<pre><strong>Input:</strong>
World table:
+-------------+-----------+---------+------------+--------------+
| name | continent | area | population | gdp |
+-------------+-----------+---------+------------+--------------+
| Afghanistan | Asia | 652230 | 25500100 | 20343000000 |
| Albania | Europe | 28748 | 2831741 | 12960000000 |
| Algeria | Africa | 2381741 | 37100000 | 188681000000 |
| Andorra | Europe | 468 | 78115 | 3712000000 |
| Angola | Africa | 1246700 | 20609294 | 100990000000 |
+-------------+-----------+---------+------------+--------------+
<strong>Output:</strong>
+-------------+------------+---------+
| name | population | area |
+-------------+------------+---------+
| Afghanistan | 25500100 | 652230 |
| Algeria | 37100000 | 2381741 |
+-------------+------------+---------+
</pre>
</div>