{"id":28716978,"url":"https://github.com/codeonthespectrum/freshwater-project","last_synced_at":"2025-09-14T21:16:11.321Z","repository":{"id":286508781,"uuid":"961616561","full_name":"codeonthespectrum/freshwater-project","owner":"codeonthespectrum","description":"freshwater project","archived":false,"fork":false,"pushed_at":"2025-04-06T21:49:10.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-06T22:27:30.223Z","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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/codeonthespectrum.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2025-04-06T21:48:10.000Z","updated_at":"2025-04-06T21:49:14.000Z","dependencies_parsed_at":"2025-04-06T22:37:39.120Z","dependency_job_id":null,"html_url":"https://github.com/codeonthespectrum/freshwater-project","commit_stats":null,"previous_names":["codeonthespectrum/freshwater-project"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/codeonthespectrum/freshwater-project","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeonthespectrum%2Ffreshwater-project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeonthespectrum%2Ffreshwater-project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeonthespectrum%2Ffreshwater-project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeonthespectrum%2Ffreshwater-project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/codeonthespectrum","download_url":"https://codeload.github.com/codeonthespectrum/freshwater-project/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/codeonthespectrum%2Ffreshwater-project/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259914955,"owners_count":22931332,"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":"2025-06-15T03:12:38.735Z","updated_at":"2025-06-15T03:12:46.118Z","avatar_url":"https://github.com/codeonthespectrum.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003e💧 38,000 Hospitalizations Exposing Northeastern Brazil's Sanitation Crisis\u003c/h1\u003e\n\u003ch3 align=\"center\"\u003eA National Geographic Freshwater Storytelling Proposal | SDG 6 Initiative\u003c/h3\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Status-IN_DEVELOPMENT-red?style=for-the-badge\"/\u003e\n  \u003cimg src=\"https://img.shields.io/badge/National_Geographic-Call_Proposal_2025-blue?style=for-the-badge\u0026logo=earth\"/\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Data_Points-9_States_Analyzed-green?style=for-the-badge\u0026logo=pandas\"/\u003e\n  \u003ca href=\"https://doi.org/10.5281/zenodo.15192397\"\u003e\u003cimg src=\"https://zenodo.org/badge/961616561.svg\" alt=\"DOI\"\u003e\u003c/a\u003e\n\n\u003c/p\u003e\n\n\u003e *\"In Maranhão, 59.09% of clean water vanishes in distribution - while 38,000 people get hospitalized annually from contaminated sources.\"*  \n\n\n---\n\u003e Database \u003ca href=\"https://doi.org/10.5281/zenodo.15192346\"\u003e\u003cimg src=\"https://zenodo.org/badge/DOI/10.5281/zenodo.15192346.svg\" alt=\"DOI\"\u003e\u003c/a\u003e\n\u003e - [avaliable on hugging face](https://huggingface.co/datasets/carpenterbb/agua_e_esgoto_nordeste_brasileiro)\n\n## Table of Contents\n🔍 [Project Overview](#project-overview-book)  \n📊 [Key Data Insights](#key-data-insights-bar_chart)  \n🛠️ [Methodology \u0026 Tools](#methodology--tools-gear)  \n🧑💻 [Developers](#developers-computer)  \n\n---\n\n## Project Overview :book:\n\n**Objective**: Visualize the devastating link between water infrastructure gaps and public health outcomes across Northeastern Brazil's 9 states, supporting National Geographic's Freshwater Storytelling Initiative.\n\n**Dataset Highlights**:\n- 9 states analyzed\n- 5 critical metrics per state\n- IBGE official statistics\n- DataSUS health data\n\n---\n\n## Key Data Insights :bar_chart:\n\n### Critical Findings Table\n| State | Water Coverage | Treated Sewage | Total Hospitalizations | Child Cases | Water Loss |\n|-------|----------------|----------------|------------------------|-------------|------------|\n| Bahia | 80.55% | 48.79% | 21,764 | 6,177 | 41.66% |\n| Maranhão | 56.50% | 13.83% | **38,000** | 5,400 | **59.09%** |\n| Piauí | 72.84% | 18.84% | 5,158 | 1,622 | 19.36% |\n\n### Crisis Hotspots\n1. **Maranhão's Dual Crisis**:  \n   - Highest hospitalizations (38k)  \n   - Worst water losses (59.09%)  \n   - Lowest sewage treatment (13.83%)\n\n2. **Sergipe's Child Emergency**:  \n   - 35% of hospitalizations are children \u003c10 yrs  \n   - 91.62% water coverage ≠ 38.14% sewage treatment\n\n---\n\n## Methodology \u0026 Tools :gear:\n\n### Workflow\n```mermaid\ngraph LR\nA[Raw Data] --\u003e B[Databricks Cleaning]\nB --\u003e C[Pandas Analysis]\nC --\u003e D[Plotly Visualization]\nD --\u003e E[Policy Impact Modeling]\n\n```\n### Tools Stack :gear:\n\n| Purpose              | Tools                              |\n|----------------------|------------------------------------|\n| **Data Processing**  | Python 3.9, Pandas, PySpark       |\n| **Visualization**    | Plotly, Matplotlib, Seaborn       |\n| **Environment**      | Databricks Community Edition, Jupyter |\n\n\n## Developers :octocat:\n\n| [\u003cimg src=\"https://avatars2.githubusercontent.com/u/46378210?s=400\u0026u=071f7791bb03f8e102d835bdb9c2f0d3d24e8a34\u0026v=4\" width=115\u003e\u003cbr\u003e\u003csub\u003eGabrielly Gomes\u003c/sub\u003e](https://www.linkedin.com/in/gabrielly-gomes-ml/) |  [\u003cimg src=\"https://avatars2.githubusercontent.com/u/46378210?s=400\u0026u=071f7791bb03f8e102d835bdb9c2f0d3d24e8a34\u0026v=4\" width=115\u003e\u003cbr\u003e\u003csub\u003eVinicius Calisto\u003c/sub\u003e](https://www.linkedin.com/in/viniciuscalisto/) | \n :---: | :---: |\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodeonthespectrum%2Ffreshwater-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodeonthespectrum%2Ffreshwater-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodeonthespectrum%2Ffreshwater-project/lists"}