seoul-bigdata-competition

2020 seoul bigdata competition

Topic

Due to COVID-19, outdoor sports facilities are crowded and being closed.

So I made prioritize through analysis

Data Sources

• 전국공공체육시설

  https://www.culture.go.kr/bigdata/user/data_market/agency/detail.do?id=kspo_org

• 서울시 인구 데이터 현황

  http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=INH_1B04005N_11&vw_cd=MT_ZTITLE&list_id=201_20103&seqNo=&lang_mode=ko&language=kor&obj_var_id=&itm_id=&conn_path=MT_ZTITLE

Environment

• python3
• LightGBM

Installation

$ pip install lightgbm

Clone Repository...

$ mkdir project
$ cd project
$ git clone https://github.com/DongChanKIM2/seoul-bigdata-competition.git
$ cd seoul-bigdata-competition

Results

This is the priority of outdoor sports facilities in Seoul

FeedBack

Although this ranked in the top of 20th, but I failed to win the award

I think there are two reasons.

First, there was no floating population data to use, so I used the gym facilities data to dependent variable.

Secondly, the judges gave the comments that I've did not inspection on-site

I'll make up these shortages to produce better result for next time

License

Copyright © 2020 Chan
MIT