https://github.com/gnucoop/picaps
Progetto di approccio sistemico per il Contrasto alle cause Profonde dello Sfruttamento del lavoro minorile
https://github.com/gnucoop/picaps
Last synced: 8 months ago
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Progetto di approccio sistemico per il Contrasto alle cause Profonde dello Sfruttamento del lavoro minorile
- Host: GitHub
- URL: https://github.com/gnucoop/picaps
- Owner: gnucoop
- License: gpl-3.0
- Created: 2020-05-21T07:01:08.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-06-11T11:31:54.000Z (about 6 years ago)
- Last Synced: 2024-12-26T15:44:30.878Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 529 KB
- Stars: 0
- Watchers: 4
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# Python notebooks to analyze data from the PICAPS project (CIAI-Onlus)
Includes notebooks for: cleaning data, visualizing data, classifying data with a decision tree classifier
The procedure to perform the full analysis is as follows:
1. In order not to have errors, create in your local directory two directories named: output_files/ and output_figures/; all files and figures produced during the run of the code are stored in these two directories.
1. Run the clean_data.ipynb (this uses data_small.csv as input file). This will produce in the same directory an output file at the end, data_clean.csv, which is a clean, transformed and integrated version of the original dataset.
1. Run the visualize_data.ipynb (this uses data_clean.csv as input file).
1. Run the classify_predict_data.ipynb (this uses data_clean.csv as input file).
Run notebooks using Jupyter.
For info write to dev@gnucoop.com