{"id":28476103,"url":"https://github.com/ariqf1/prediction_criminal","last_synced_at":"2026-05-03T05:31:31.743Z","repository":{"id":296659656,"uuid":"994044205","full_name":"AriqF1/prediction_criminal","owner":"AriqF1","description":"This repository contains the code and documentation for a crime data analysis project using a criminal dataset from San Francisco.","archived":false,"fork":false,"pushed_at":"2025-06-15T07:06:45.000Z","size":29619,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-24T22:39:13.139Z","etag":null,"topics":["analytics","heatmap-visualization","jupyter-notebook","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AriqF1.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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,"zenodo":null}},"created_at":"2025-06-01T04:31:55.000Z","updated_at":"2025-06-15T07:06:48.000Z","dependencies_parsed_at":"2025-06-24T22:31:54.806Z","dependency_job_id":"8ba92f6a-7ff4-4486-b186-18dcd590a8ff","html_url":"https://github.com/AriqF1/prediction_criminal","commit_stats":null,"previous_names":["ariqf1/heatmap_criminal","ariqf1/prediction_criminal"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/AriqF1/prediction_criminal","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AriqF1%2Fprediction_criminal","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AriqF1%2Fprediction_criminal/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AriqF1%2Fprediction_criminal/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AriqF1%2Fprediction_criminal/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AriqF1","download_url":"https://codeload.github.com/AriqF1/prediction_criminal/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AriqF1%2Fprediction_criminal/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263025044,"owners_count":23401708,"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":["analytics","heatmap-visualization","jupyter-notebook","python"],"created_at":"2025-06-07T15:06:03.142Z","updated_at":"2026-04-27T18:34:49.668Z","avatar_url":"https://github.com/AriqF1.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Crime Prediction (Python)\n\nA crime data analysis project using Python and Jupyter Notebook to visualize **high-crime hours** and **geographical crime density** with interactive heatmaps.\n\n- Dataset: San Francisco Crime Data (884K+ rows)\n- Time and location-based heatmap visualization\n- Structured preprocessing pipeline\n- Data exploration with Pandas \u0026 Jupyter Notebook\n\n[![Status](https://img.shields.io/badge/status-active-success)](https://github.com/AriqF1/heatmap_criminal)\n[![License](https://img.shields.io/badge/license-MIT-blue)](https://opensource.org/licenses/MIT)\n[![Python](https://img.shields.io/badge/python-3.10+-blue)](https://www.python.org/)\n\n## Features\n\n- Preprocessing of crime data from Kaggle\n- Duplicate detection and cleaning for large datasets\n- Crime frequency analysis by hour and district\n- Professional and modular folder structure\n\n## Requirements\n\n- Python 3.10+\n- ipynb extension\n- Pandas, NumPy, Seaborn, Matplotlib, Jupyter, Folium\n\n## Getting Started\n\nClone The Repository\n\n```bash\ngit clone https://github.com/AriqF1/prediction_criminal.git\ncd prediction_criminal\n```\n\n## Folder Structure\n\n```bash\nheatmap_criminal/\n├── data/\n│   ├── 01_raw/            # Raw data from Kaggle\n│   ├── 02_interim/        # Cleaned data\n│   └── 03_processed/      # Analysis-ready data\n├── notebooks/             # Jupyter Notebooks for EDA \u0026 visualization\n├── scripts/               # Python scripts for data pipeline\n├── visualization/         # Generated heatmaps and charts\n├── reports/               # Final analysis, charts, and documentation\n├── LICENSE\n├── README.md\n└── requirements.txt\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fariqf1%2Fprediction_criminal","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fariqf1%2Fprediction_criminal","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fariqf1%2Fprediction_criminal/lists"}