{"id":28527435,"url":"https://github.com/germanocastanho/crime-analysis","last_synced_at":"2026-04-29T14:32:13.300Z","repository":{"id":315754426,"uuid":"1039007167","full_name":"germanocastanho/crime-analysis","owner":"germanocastanho","description":"Criminal data analysis from the Rio Grande do Sul, Brazil (2022-2024) 🚨","archived":false,"fork":false,"pushed_at":"2025-09-20T13:05:59.000Z","size":238,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-09-20T15:25:56.483Z","etag":null,"topics":["brazil","crime","crime-data","data-science","rio-grande-do-sul"],"latest_commit_sha":null,"homepage":"https://www.ssp.rs.gov.br/dados-abertos","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/germanocastanho.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,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-08-16T09:23:56.000Z","updated_at":"2025-09-20T13:06:02.000Z","dependencies_parsed_at":"2025-09-20T15:36:03.157Z","dependency_job_id":null,"html_url":"https://github.com/germanocastanho/crime-analysis","commit_stats":null,"previous_names":["germanocastanho/crime-analysis"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/germanocastanho/crime-analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/germanocastanho%2Fcrime-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/germanocastanho%2Fcrime-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/germanocastanho%2Fcrime-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/germanocastanho%2Fcrime-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/germanocastanho","download_url":"https://codeload.github.com/germanocastanho/crime-analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/germanocastanho%2Fcrime-analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32429110,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-29T13:34:34.882Z","status":"ssl_error","status_checked_at":"2026-04-29T13:34:29.830Z","response_time":110,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["brazil","crime","crime-data","data-science","rio-grande-do-sul"],"created_at":"2025-06-09T12:13:26.307Z","updated_at":"2026-04-29T14:32:13.295Z","avatar_url":"https://github.com/germanocastanho.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🚨 Crime Analysis\r\n\r\nRepository focused on **criminal data analysis** from the Rio Grande do Sul (RS), Brazil, between 2022 and 2024. Collected in July 2025 from the [**Public Security Department**](https://www.ssp.rs.gov.br/dados-abertos) (SSP/RS) website, the data under analysis aim to help understand criminal patterns and trends in the region. Used for data science studies, exploratory analysis and (soon!) development of predictive models.\r\n\r\n# 🚀 Main Features\r\n\r\n- **Interactive Notebooks:** 🗒️ Real data exploration and analysis using JupyterLab.\r\n- **Data Visualization:** 📊 Insightful visualizations to understand crime trends.\r\n- **Reproducible Workflow:** ♻️ Replicable environment for extended analyses and studies.\r\n\r\n# ✅ Prerequisites\r\n\r\n- **Python 3.12+**, available through the [**official website**](https://www.python.org/downloads/).\r\n- **JupyterLab**, following the [**official installation guide**](https://jupyter.org/install).\r\n\r\n# 🛠️ Local Installation\r\n\r\n```bash\r\n# Clone the repository\r\ngit clone https://github.com/germanocastanho/crime-analysis.git\r\n\r\n# Navigate to the directory\r\ncd crime-analysis\r\n\r\n# Set up a virtual environment\r\npython3 -m venv .venv\r\nsource .venv/bin/activate\r\n\r\n# Install dependencies\r\npip install -r requirements.txt\r\n\r\n# Access the \"crimes.ipynb\" notebook\r\njupyter-lab crimes.ipynb\r\n```\r\n\r\n# 📜 Free Software\r\n\r\nDistributed under the [**GNU GPL v3**](LICENSE), ensuring freedom to use, modify, and redistribute the software, as long as these freedoms are preserved in any derivative versions. By using or contributing, you support the **free software** philosophy and help build an open, community-driven technological environment! ✊\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgermanocastanho%2Fcrime-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgermanocastanho%2Fcrime-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgermanocastanho%2Fcrime-analysis/lists"}