Análise exploratória de dados: limpeza, manipulação e pré-processamento aplicado a dataset de perfil de atendimento nas unidades de saúde da cidade de Curitiba

Abstract

The work object of this study encompasses two main aspects, data science and the service profile of healthcare units in the city of Curitiba. It consists of the application of exploratory data analysis, focused on the importance of quality in the initial stages as a prerequisite for an efficient modeling of Machine Learning later. When analyzing a dataset, it is possible to obtain important information, which will serve to identify patterns, characteristics and associations between the data. However, the large volume of information can make the process difficult, só the combination of exploratory analysis and visualization techniques are essential to achieve good results. This work presents some techniques for cleaning, manipulating and exploratory data analysis.