basedosdados/queries-basedosdados
Oct 2024 – Oct 2024
1 Month active
Languages Used
PythonSQLYAML
Technical Skills
Data AnalysisData EngineeringData ModelingDatabase ManagementETLPandas
vilelaluiza
PROFILE
Vilelaluiza
Luiza worked on the queries-basedosdados repository, delivering four new features and a bug fix focused on expanding and refining educational data metrics. She developed granular age-grade distortion and performance rates tables, supporting both national and state-level analysis, and provided Jupyter notebooks for data processing and cleaning. Her work included a schema refactor for Br_inep_educacao_especial, clarifying field definitions and updating data models to improve accuracy. Luiza also removed obsolete SQL table definitions to streamline the codebase and applied linting for code quality. She utilized Python, SQL, and Pandas, demonstrating depth in data modeling, ETL, and database management throughout the project.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
4
Lines of code
7,205
Activity Months1
Your Network
9 peopleWork History
October 2024
6 Commits • 4 Features
Oct 1, 2024Month 2024-10 focused on expanding granular education metrics and tightening data quality for the queries-basedosdados project. Key features delivered include new granular educational data: age-grade distortion and performance rates with notebooks for processing and cleaning data at national and state levels; Br_inep_educacao_especial schema refactor with updated models and clarified fields; removal of obsolete SQL table definitions to simplify the codebase; and code quality improvements with linting across SQL files.
6 Commits • 4 Features
Oct 1, 2024Month 2024-10 focused on expanding granular education metrics and tightening data quality for the queries-basedosdados project. Key features delivered include new granular educational data: age-grade distortion and performance rates with notebooks for processing and cleaning data at national and state levels; Br_inep_educacao_especial schema refactor with updated models and clarified fields; removal of obsolete SQL table definitions to simplify the codebase; and code quality improvements with linting across SQL files.
October 2024
Activity
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Quality Metrics
Correctness96.6%
Maintainability96.6%
Architecture96.6%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQLYAML
Technical Skills
Data AnalysisData EngineeringData ModelingDatabase ManagementETLPandasPythonSQLSchema Definition
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