ABSTRACT
Neonatal mortality is a worldwide problem and its reduction is
of common international interest. Around 46% of all deaths in
the world happen to infants up to five years of age, and most of
those deaths is concentrated in the first few days after birth. In
Brazil, although having data sources such as IBGE and DATASUS,
there is no platform that provides an intuitive way of visualizing
this data. Thus, this work proposes the use of specialized visual
analysis tools for big data, such as Python libraries Dash by Plotly,
NumPy and Pandas, in order to facilitate the understanding of
public information related to neonatal mortality, which can lead to
the mitigation of the problem.