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Python Challenge: Engineering and Data Analysis of Procons in Brazil

Objectives

To carry out the processes of:

  • 'collection',
  • 'cleaning',
  • 'analysis' and,
  • 'visualization'

of data from the Brazilian Public Administration.

Instructions

  • Use of information collected from a public administration website;

  • Use of the 'Pandas' library;

  • Data processing to remove data that is not relevant to the purpose of the application ('cleaning');

  • Use of a relational database:

    • Use of Postgres.
    • Minimum of 5 tables.
    • The main tables must have at least 10,000 records each.
    • Use SQL commands to cross-reference information.
  • Implement and detail segmented processing in at least 3 zones:

    • raw (raw data).
    • curated (clean data).
    • analytics (analyzed data).
  • Visualization of analyzed data;

  • Use of basic statistical analysis on the data.

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