SQL project focused on data analysis, filtering, aggregation, and business insights using real datasets.
This project uses multiple datasets:
- funcionarios.csv
- produtos_mercado.csv
- filmes.csv
- uso_academia.csv
Main analyses performed in this project:
- Filtering employees based on salary, age, and status
- Identifying products with low stock or promotions
- Calculating averages, totals, minimum and maximum values
- Grouping data by category and state
- Applying conditions using WHERE, HAVING, and ORDER BY
- SELECT
- WHERE
- GROUP BY
- HAVING
- ORDER BY
- COUNT()
- AVG()
- SUM()
- MIN()
- MAX()
- IN / AND / OR
data/ funcionarios.csv produtos_mercado.csv filmes.csv uso_academia.csv
queries/ analysis_queries.sql
The goal of this project is to practice SQL for data analysis and develop skills relevant to real-world business scenarios.