{"id":18577922,"url":"https://github.com/gnucoop/picaps","last_synced_at":"2025-11-01T18:30:27.946Z","repository":{"id":96920507,"uuid":"265778392","full_name":"gnucoop/picaps","owner":"gnucoop","description":"Progetto di approccio sistemico per il Contrasto alle cause Profonde dello Sfruttamento del lavoro minorile","archived":false,"fork":false,"pushed_at":"2020-06-11T11:31:54.000Z","size":542,"stargazers_count":0,"open_issues_count":0,"forks_count":2,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-12-26T15:44:30.878Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/gnucoop.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-05-21T07:01:08.000Z","updated_at":"2020-06-11T11:31:57.000Z","dependencies_parsed_at":null,"dependency_job_id":"fdaf26da-868c-4746-9f0d-46bbdf3c6ba9","html_url":"https://github.com/gnucoop/picaps","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gnucoop%2Fpicaps","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gnucoop%2Fpicaps/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gnucoop%2Fpicaps/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gnucoop%2Fpicaps/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gnucoop","download_url":"https://codeload.github.com/gnucoop/picaps/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239313770,"owners_count":19618493,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-06T23:32:04.681Z","updated_at":"2025-11-01T18:30:27.901Z","avatar_url":"https://github.com/gnucoop.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Python notebooks to analyze data from the PICAPS project (CIAI-Onlus)\nIncludes notebooks for: cleaning data, visualizing data, classifying data with a decision tree classifier \n\nThe procedure to perform the full analysis is as follows:\n\n1. 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. \n1. 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.\n1. Run the visualize_data.ipynb (this uses data_clean.csv as input file).\n1. Run the classify_predict_data.ipynb (this uses data_clean.csv as input file).\n\nRun notebooks using Jupyter. \n\nFor info write to dev@gnucoop.com\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgnucoop%2Fpicaps","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgnucoop%2Fpicaps","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgnucoop%2Fpicaps/lists"}