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INTERACTIVE DATA VISUALIZATION OF MALARIA USING R SHINY
Data visualization consists in representing data in some systematic form including attributes and variables for the unit of information. A simple and quick information can highlight possible errors with data just as it helps uncover interesting trends. There are traditional and new approaches for visualization methods. Data coming from different sources (SIVEP, IBGE, NOAA, MDS) were considered and are potentially useful for the effective understanding of malaria in the Amazon region. Using data of malaria, we illustrated the process of exploratory analysis and traditional visualization tools that can make the evaluation of high dimensional data available and feasible. Exploratory analysis tools (univariate and bivariate) were used to enhance the data visualization techniques. We believe that data integration and the exploration of visualization tools, such as those available using R Shiny, can assist decision making, provide significant contribution for understanding several processes and make massive amounts of available data in several systems become useful.
André Alves Ferreira Mendes, Rosemeire Leovigildo Fiaccone, Leila Denise Alves Ferreira Amorim, Marcos Ennes Barreto, Juracy Bertoldo Santos Junior, Alberto Sironi, Marcos Aurelio Eustorgio Filho