Title : A Study on Statistical Map of Air Pollution in Korea using R
Published in : The 4th International Conference on Computer Applications and Information Processing Technology (CAIPT 2017)
Author : JungYeon Seo, HwaMin Lee
Corresponding author : HwaMin Lee
Location : APITKOM East Java, Bail, Indonesia
DOI : https://doi.org/10.1109/CAIPT.2017.8320675
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.
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT & Future Planning(NRF-2017R1A2B4010570).