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What Do the Data Say in 10 Years of Pneumonia Victims? A Geo-Spatial Data Analytics Perspective

机译:10年的肺炎受害者的数据说明了什么?地理空间数据分析视角

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The need to integrate, store, process and analyse data is continuously growing as information technologies facilitate the collection of vast amounts of data. These data can be in different repositories, have different data formats and present data quality issues, requiring the adoption of appropriate strategies for data cleaning, integration and storage. After that, suitable data analytics and visualization mechanisms can be used for the analysis of the available data and for the identification of relevant knowledge that support the decision-making process. This paper presents a data analytics perspective over 10 years of pneumonia incidence in Portugal, pointing the evolution and characterization of the mortal victims of this disease. The available data about the individuals was complemented with statistical data of the country, in order to characterize the overall incidence of this disease, following a spatial analysis and visualization perspective that is supported by several analytical dashboards.
机译:随着信息技术便于收集大量数据的信息,需要集成,存储,过程和分析数据的需要不断增长。这些数据可以在不同的存储库中,具有不同的数据格式和目前的数据质量问题,需要采用适当的数据清洁,集成和存储的策略。之后,合适的数据分析和可视化机制可用于分析可用数据,并确定支持决策过程的相关知识。本文介绍了葡萄牙肺炎发病率超过10年的数据分析透视,指向这种疾病的致命因素的演变和表征。关于个人的可用数据与该国的统计数据相辅相成,以便在几种分析仪表板支持的空间分析和可视化视角下表征本病的总体发病率。

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