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A study on statistical map of air pollution in Korea using R
- Seo, Jung Yeon;
- Lee, Hwa Min
Citations
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3초록
Due to the development of the IoT era, the evolution of smart devices, and the proliferation of SNS, the amount of data generated is increasing. The vast amount of data generated by this is called big data. Analysis of big data is an important key to read current social trends. By finding out social issues, companies and countries can prepare to solve problems first. Statistical software should be used to analyze big data. In this paper, we use R to provide users with statistical information on air pollution, which is currently the most problematic in Korea. © 2017 IEEE.
키워드
Big Data; R Data Modeling; Visualization
- 제목
- A study on statistical map of air pollution in Korea using R
- 저자
- Seo, Jung Yeon; Lee, Hwa Min
- 발행일
- 2017-07
- 유형
- Conference paper
- 저널명
- Proceedings of the 2017 4th International Conference on Computer Applications and Information Processing Technology, CAIPT 2017
- 권
- 2018
- 페이지
- 1 ~ 5
- 언어
- ENG
- 출판사
- Institute of Electrical and Electronics Engineers Inc.
- 분량
- 5 페이지