A starter cookiecutter template for data analysis projects that offers a simplified and beginner-friendly structure.
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├─ .gitignore # Customized .gitignore for python projects
├─ LICENSE # Project's license
├─ pyproject.toml # Project dependencies
├─ README.md # Top-level README for this project
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├─ assets # Resources for the project
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├─ data # Categorized data files
| ├─ processed # Cleaned data
| └─ raw # Original data
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├─ docs # Quarto's rendered docs
| └─ .nojekyll # Prevent Jekyll processing
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├─ _quarto.yml # Quarto's config file
├─ custom.scss # Quarto's Sass stylesheet
├─ index.qmd # Quarto's home page
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├─ _notebooks # Jupyter notebooks
| ├─ 0.0-collect-data.ipynb # Gathering data
| ├─ 1.0-process-data.ipynb # Data processing (fixing column types, data cleansing, etc.)
| ├─ 2.0-analyze-data.ipynb # Exploratory data analysis
| └─ 3.0-visualize-data.ipynb # Data visualization methods
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├─ outputs # Exports generated by notebooks
| ├─ figures # Generated graphics, maps, etc. to be used in reporting
| └─ tables # Generated pivot tables to analyze data
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