政府資料開放平臺之PM2.5即時監測資料分析

PM2.5 Instant Monitoring Data Analysis of Government Open Data Platform

近年來各國政府陸續設置及開放整合／即時監測資料來提供產官學研各單位運用與分析之用，以提供有用資訊供各單位相關業務決策之用，因此，有效運用平臺提供之數據庫為資料科學家重要的工作。本研究為探討政府資料開放平臺內相關台灣細懸浮微粒（PM2.5）之資料分析以及PM2.5引起疾病之關聯，包含呼吸系統、心臟血管系統與中樞神經系統相關方面的影響，以及醫生對於PM2.5對身體健康的看法。本研究在PM2.5社群輿情平臺關聯疾病之分析上主要使用到OpView輿情聆聽平臺，OpView為目前國內最大的社群觀測平臺，可從大量資料的社群網路中蒐集各類文章、討論、新聞，並進一步解析不同類型網站及其影響力。 In recent years, governments in the world have gradually established and opened up integrated/immediate monitoring data to provide the uses and analyses for government agencies, academic communities, and research institutes, so as to provide useful information to divisions of government for decision-making of related business. Therefore, the effective application of the database provided by the platform is an important task for data scientists. This study investigates the data analyses of related Taiwan's Particulate Matter 2.5 (PM2.5) stored in the government open data platform and analyzes the correlation of PM2.5-induced diseases, including the effects of respiratory system, cardiovascular system, central nervous system, and the doctor's perception of PM2.5 for body health. Furthermore, this study mainly uses a social listening platform, named OpView, for the analysis of community opinions related PM2.5 to diseases. The OpView platform is the current largest community listening platform in Taiwan. It can collect articles, discussions, and news from a large amount of data in the social network, and can further analyze different types of websites and their influence.

In recent years, governments in the world have gradually established and opened up integrated/immediate monitoring data to provide the uses and analyses for government agencies, academic communities, and research institutes, so as to provide useful information to divisions of government for decision-making of related business. Therefore, the effective application of the database provided by the platform is an important task for data scientists. This study investigates the data analyses of related Taiwan's Particulate Matter 2.5 (PM2.5) stored in the government open data platform and analyzes the correlation of PM2.5-induced diseases, including the effects of respiratory system, cardiovascular system, central nervous system, and the doctor's perception of PM2.5 for body health. Furthermore, this study mainly uses a social listening platform, named OpView, for the analysis of community opinions related PM2.5 to diseases. The OpView platform is the current largest community listening platform in Taiwan. It can collect articles, discussions, and news from a large amount of data in the social network, and can further analyze different types of websites and their influence.