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
- 3줄 논문
- 협업필터링
- pytorch
- eda
- TEAM EDA
- MySQL
- 나는리뷰어다
- TEAM-EDA
- 큐
- 프로그래머스
- Machine Learning Advanced
- hackerrank
- 입문
- DFS
- 한빛미디어
- Python
- Image Segmentation
- 알고리즘
- 파이썬
- DilatedNet
- Recsys-KR
- 튜토리얼
- 스택
- Object Detection
- Segmentation
- 나는 리뷰어다
- 엘리스
- 추천시스템
- Semantic Segmentation
- 코딩테스트
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 |