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THE CNES Datasus Processor is a suite of scritps to fetch and pre-process data on infrastructure and staff from the Brazilian Universal Healthcare System (SUS)

Python 100.00%

cnes_datasus_processor's Introduction

CNES DataSUS Processor

THE CNES Datasus Processor is a suite of scritps to fetch and pre-process data on infrastructure and staff from the Brazilian Universal Healthcare System (SUS)

High level data pipeline

  1. Download zipped file from the DataSUS server
  2. Unzip the file into a temporary folder (both the file and the folder are deleted at the end)
  3. Import files into Pandas Dataframes
  4. Merge Dataframes with respect to business rules
  5. Export files to <YYYYMM>_output (where <YYYYMM> is the date of the file)

How to run it?

Edit main.py and replace the daterefs with all the dates you want to process.


NOTE

This data pipeline was tested only with files from January 2019 to now (March 2020). It might not work on previous data.


Where can I see exported data?

I update this data on Kaggle monthly. Get it: https://www.kaggle.com/jairofreitas/brazilian-universal-health-care-data

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