Pandas | LeetCode 183. 주문하지 않은 고객 찾기
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BI & Visualization/Python
Table: Customers+-------------+---------+| Column Name | Type |+-------------+---------+| id | int || name | varchar |+-------------+---------+id is the primary key (column with unique values) for this table.Each row of this table indicates the ID and name of a customer. Table: Orders+-------------+------+| Column Name | Type |+-------------+------+| id | int || ..
Pandas | LeetCode 1757. 연산자를 사용하여 조건 만족하는 행 추출하기
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BI & Visualization/Python
Table: Products+-------------+---------+| Column Name | Type |+-------------+---------+| product_id | int || low_fats | enum || recyclable | enum |+-------------+---------+product_id is the primary key (column with unique values) for this table.low_fats is an ENUM (category) of type ('Y', 'N') where 'Y' means this product is low fat and 'N' means it is not.recyclable is an ENUM..
Pandas | LeetCode 595. World 테이블에서 큰 나라 찾기
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BI & Visualization/Python
Table: World+-------------+---------+| 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 i..
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