Web application for data labeling
|- .gitignore # Customized .gitignore for python projects
|- LICENSE # Project's license
|- 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 # Explanatory materials
| |- references # Papers, manuals, articles, etc.
| |- data-dictionary.md # Information about the data
| |- explore-data.md # Questions to explore the data
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|- notebooks # Jupyter notebooks
| |- 0.0-process.ipynb # Data processing (fixing column types, data cleansing, etc.)
| |- 1.0-analyze.ipynb # Exploratory data analysis
| |- 2.0-visualize.ipynb # Data visualization methods
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|- outputs # Exports generated by notebooks
| |- tables # Generated pivot tables to analyze data
| |- figures # Generated graphics, maps, etc. to be used in reporting
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|- project # Python package
| |- __init__.py
| |- data # Functions to manipulate data
| | |- load.py # Module to load data
| | |- process.py # Module to process data
| | |- analyze.py # Module to analyze data
| | |- export.py # Module to save exports
| | |- __init__.py
| |
| |- utils # Functions to make common patterns shorter and easier
| |- paths.py # Module to generate relative paths
| |- __init__.py
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|- setup.py # Import project as a python module
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|- Pipfile # Project dependencies
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|- index.html # HTML template for report analysis
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|- styles.css # Styles for index.html
This project is released under MIT License.
This repository was generated with cookiecutter using a data-journalism template for python.