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ptyadana/SQL-Data-Analysis-and-Visualization-Projects resource

SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark. observed · 2026-08-28

github.com/ptyadana/SQL-Data-Analysis-and-Visualization-Projects · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2377
  • days_rel: n/a
  • days_push: 1507
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1809 stars · 579 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A compilation of SQL data analysis and visualization practice projects and challenges using MySQL, PostgreSQL, SQLite, Tableau, and Apache Spark with pySpark. It includes real-world style business scenarios such as an Instagram clone database, film rental store, employee analytics, and digital music store analysis.

Use cases

  • practice sql queries with real-world business scenarios
  • learn mysql postgresql and sqlite through projects
  • analyze a cloned instagram database with sql
  • visualize employee data with tableau
  • learn pyspark and apache spark for data analysis
  • find sql exercises and challenges for data analysis
  • answer business questions with sql data analysis

When to choose

  • you want hands-on SQL practice projects with business scenarios
  • you are learning MySQL, PostgreSQL, SQLite, Tableau, or pySpark
  • you need example datasets and guided challenges for a data analysis portfolio

When to avoid

  • you need production-ready data analysis software or a library to import
  • you want an automated analytics tool rather than educational notebooks
  • you need up-to-date content, as the latest release was in 2022

Facets

learning-resource · maturity maintenance

data-science data-visualization database etl data-science data-visualization databases education tutorials python cross-platform sql mysql postgresql sqlite tableau pyspark apache-spark jupyter-notebook practice-projects sql-exercises

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For agents

markdown · JSON · MCP: product_card(name="ptyadana/SQL-Data-Analysis-and-Visualization-Projects")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem