{"id":18348052,"url":"https://github.com/fer-aguirre/cookiecutter-data-analysis-lite","last_synced_at":"2025-06-14T08:08:56.488Z","repository":{"id":243766177,"uuid":"813385815","full_name":"fer-aguirre/cookiecutter-data-analysis-lite","owner":"fer-aguirre","description":"A cookiecutter template for data journalism projects that offers a simplified and beginner-friendly 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Cookiecutter Data Analysis Lite 🐝\n\nA [cookiecutter](https://github.com/cookiecutter/cookiecutter) template for data journalism projects that offers a simplified and beginner-friendly structure.\n\nCreated by: Fernanda Aguirre Ruíz\n\n---\n\n## Why Use This Template?\n\n- **Consistency:** Maintains a standardized structure across all your data analysis projects\n- **Efficiency:** Eliminates the repetitive setup process for new projects\n- **Best Practices:** Follows established data science project organization principles\n- **Flexibility:** Customizable to your specific needs while maintaining structure\n\n---\n\n## Requirements\n\n- Python 3.8 or higher\n- Cookiecutter 1.7.0 or higher\n\n---\n\n## Installation\n\nFirst, make sure you have cookiecutter installed:\n\n```\npip install cookiecutter\n```\nThen generate a new data project:\n\n```\ncookiecutter https://github.com/fer-aguirre/cookiecutter-data-analysis-lite\n```\n\n---\n\n## Template parameters\n\nDuring the project creation process, you will be prompted to enter values for the following parameters:\n\n| Parameter          | Description                                                   |\n|--------------------|---------------------------------------------------------------|\n| `project_name`     | Name of your data analysis project                            |\n| `project_slug`     | URL-friendly name of the project (automatically generated)    |\n| `project_description` | A brief description of the project                         |\n| `project_author`   | Your name or organization name                                |\n| `project_license`  | Choose between MIT License or GNU General Public License v3   |\n| `python_version`   | Choose between Python 3.8 or 3.11                             |\n| `package_manager`  | Choose between uv or poetry for dependency management         |\n\n---\n\n## Directory Structure\n```\n┬\n├─ .gitignore                  # Customized .gitignore for python projects\n├─ LICENSE                     # Project's license\n├─ pyproject.toml              # Project dependencies\n├─ README.md                   # Top-level README for this project\n|\n├─ assets                      # Resources for the project\n|\n├─ data                        # Categorized data files                       \n|  ├─ processed                # Cleaned data\n|  └─ raw                      # Original data\n|\n├─ docs                        # Quarto's rendered docs\n|   └─ .nojekyll               # Prevent Jekyll processing\n|\n├─ _quarto.yml                 # Quarto's config file\n├─ custom.scss                 # Quarto's Sass stylesheet\n├─ index.qmd                   # Quarto's home page\n|\n├─ _notebooks                  # Jupyter notebooks\n|  ├─ 0.0-collect-data.ipynb   # Gathering data\n|  ├─ 1.0-process-data.ipynb   # Data processing (fixing column types, data cleansing, etc.)\n|  ├─ 2.0-analyze-data.ipynb   # Exploratory data analysis\n|  └─ 3.0-visualize-data.ipynb # Data visualization methods\n|\n├─ outputs                     # Exports generated by notebooks\n|  ├─ figures                  # Generated graphics, maps, etc. to be used in reporting\n|  └─ tables                   # Generated pivot tables to analyze data\n|\n├─ setup.py                    # Import project as a python module\n┴\n\n```\n---","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffer-aguirre%2Fcookiecutter-data-analysis-lite","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffer-aguirre%2Fcookiecutter-data-analysis-lite","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffer-aguirre%2Fcookiecutter-data-analysis-lite/lists"}