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74 lines (63 loc) · 1.9 KB
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# ============================================================
# CITATION.cff (How to cite this project)
# ============================================================
# REQ.UNIVERSAL: Professional open projects SHOULD include CITATION.cff.
# WHY: Support correct citation and attribution.
# ALT: Internal or private repositories may omit citation metadata.
# CUSTOM: Update author, repository, license, and keyword fields as needed.
# USAGE: See https://citation-file-format.github.io/ for details.
cff-version: "1.2.0"
type: software
title: "Data Analytics Fundamentals Project 05: Python and SQL"
version: "0.9.0"
date-released: "2026-02-05"
authors:
- family-names: Case
given-names: Denise M.
orcid: "https://orcid.org/0000-0001-6165-7389"
affiliation: "Northwest Missouri State University, School of Computer Science and Information Systems, Maryville, MO, USA"
repository-code: "https://github.com/denisecase/datafun-05-sql"
url: "https://github.com/denisecase/datafun-05-sql"
license: MIT
abstract: >
Data analytics project focused on relational data and SQL
implemented within Python source files.
The project emphasizes querying structured datasets,
applying joins and aggregations,
and integrating analytics-oriented database engines
such as DuckDB and SQLite
within a professional, reproducible project workflow.
keywords:
# identity
- data analytics
- python
- sql
- relational-data
- duckdb
- queries
- joins
- aggregation
- logging
# audience
- education
- computer-science-education
- data-analytics-education
# practices
- professional-python
- src-layout
- ci-cd
- github-actions
- reproducible-workflows
- software-quality
- professional-practice
# tools and ecosystem
- python
- duckdb
- git
- github
- pre-commit
- open-source
- uv
- ruff
- mkdocs
message: "If using this work, please cite it as described in this file."