  The pandemic originated by coronavirus(covid-19), name coined by World Health
Organization during the first month in 2020. Actually, almost all the countries
presented covid19 positive cases and governments are choosing different health
policies to stop the infection and many research groups are working on patients
data to understand the virus, at the same time scientists are looking for a
vacuum to enhance imnulogy system to tack covid19 virus. One of top countries
with more infections is Brazil, until August 11 had a total of 3,112,393 cases.
Research Foundation of Sao Paulo State(Fapesp) released a dataset, it was an
innovative in collaboration with hospitals(Einstein, Sirio-Libanes),
laboratory(Fleury) and Sao Paulo University to foster reseach on this trend
topic. The present paper presents an exploratory analysis of the datasets,
using a Data Mining Approach, and some inconsistencies are found, i.e. NaN
values, null references values for analytes, outliers on results of analytes,
encoding issues. The results were cleaned datasets for future studies, but at
least a 20\% of data were discarded because of non numerical, null values and
numbers out of reference range.
