https://github.com/fer-aguirre/cookiecutter-data-analysis-lite

A starter template for data analysis projects that offers a simplified and beginner-friendly structure.
https://github.com/fer-aguirre/cookiecutter-data-analysis-lite

cookiecutter data-analysis project-template python

Last synced: 9 days ago
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A starter template for data analysis projects that offers a simplified and beginner-friendly structure.

• Host: GitHub
• URL: https://github.com/fer-aguirre/cookiecutter-data-analysis-lite
• Owner: fer-aguirre
• Created: 2024-06-11T01:43:11.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-06-26T16:53:00.000Z (5 months ago)
• Last Synced: 2024-06-26T20:30:27.785Z (5 months ago)
• Topics: cookiecutter, data-analysis, project-template, python
• Language: Python
• Homepage:
• Size: 42 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Cookiecutter Data Analysis Lite 🐝

A starter [cookiecutter](https://github.com/cookiecutter/cookiecutter) template for data analysis projects that offers a simplified and beginner-friendly structure.

---

## Directory Structure

```

┬

├─ .gitignore                  # Customized .gitignore for python projects

├─ LICENSE                     # Project's license

├─ pyproject.toml              # Project dependencies

├─ README.md                   # Top-level README for this project

|

├─ assets                      # Resources for the project

|

├─ data                        # Categorized data files                       

|  ├─ processed                # Cleaned data

|  └─ raw                      # Original data

|

├─ 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

|

├─ 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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