Cookiecutter Data Analysis Lite 🐝

A starter cookiecutter template for data analysis projects that offers a simplified and beginner-friendly structure.

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Directory Structure

┬
├─ .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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├─ 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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┴

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