Notice
Recent Posts
Recent Comments
Link
일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | |||||
3 | 4 | 5 | 6 | 7 | 8 | 9 |
10 | 11 | 12 | 13 | 14 | 15 | 16 |
17 | 18 | 19 | 20 | 21 | 22 | 23 |
24 | 25 | 26 | 27 | 28 | 29 | 30 |
31 |
Tags
- 나는 리뷰어다
- 코딩테스트
- 파이썬
- Image Segmentation
- Object Detection
- 프로그래머스
- 엘리스
- Python
- DFS
- DilatedNet
- 협업필터링
- 추천시스템
- hackerrank
- 3줄 논문
- Machine Learning Advanced
- 튜토리얼
- 나는리뷰어다
- Semantic Segmentation
- TEAM-EDA
- MySQL
- 알고리즘
- Recsys-KR
- pytorch
- 스택
- TEAM EDA
- 입문
- eda
- Segmentation
- 큐
- 한빛미디어
Archives
- Today
- Total
TEAM EDA
[HackerRank] Basic Join : Average Population of Each Continent 본문
Given the CITY and COUNTRY tables, query the names of all the continents (COUNTRY.Continent) and their respective average city populations (CITY.Population) rounded down to the nearest integer.
Note: CITY.CountryCode and COUNTRY.Code are matching key columns.
Input Format
The CITY and COUNTRY tables are described as follows:
풀이
SELECT O.CONTINENT, FLOOR(AVG(C.POPULATION))
FROM CITY AS C
JOIN COUNTRY AS O ON C.COUNTRYCODE = O.CODE
GROUP BY O.CONTINENT
'EDA Study > SQL' 카테고리의 다른 글
[HackerRank] Basic Join : Top Competitors (0) | 2021.02.08 |
---|---|
[HackerRank] Basic Join : The Report (2) | 2021.02.08 |
[HackerRank] Basic Join : African Cities (0) | 2021.02.08 |
[HackerRank] Basic Join : Asian Population (0) | 2021.02.08 |
[HackerRank] Basic Select : Employee Salaries (0) | 2021.02.07 |