https://github.com/codeonthespectrum/freshwater-project
freshwater project
https://github.com/codeonthespectrum/freshwater-project
Last synced: 9 months ago
JSON representation
freshwater project
- Host: GitHub
- URL: https://github.com/codeonthespectrum/freshwater-project
- Owner: codeonthespectrum
- Created: 2025-04-06T21:48:10.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-06T21:49:10.000Z (about 1 year ago)
- Last Synced: 2025-04-06T22:27:30.223Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
💧 38,000 Hospitalizations Exposing Northeastern Brazil's Sanitation Crisis
A National Geographic Freshwater Storytelling Proposal | SDG 6 Initiative
> *"In Maranhão, 59.09% of clean water vanishes in distribution - while 38,000 people get hospitalized annually from contaminated sources."*
---
> Database 
> - [avaliable on hugging face](https://huggingface.co/datasets/carpenterbb/agua_e_esgoto_nordeste_brasileiro)
## Table of Contents
🔍 [Project Overview](#project-overview-book)
📊 [Key Data Insights](#key-data-insights-bar_chart)
🛠️ [Methodology & Tools](#methodology--tools-gear)
🧑💻 [Developers](#developers-computer)
---
## Project Overview :book:
**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.
**Dataset Highlights**:
- 9 states analyzed
- 5 critical metrics per state
- IBGE official statistics
- DataSUS health data
---
## Key Data Insights :bar_chart:
### Critical Findings Table
| State | Water Coverage | Treated Sewage | Total Hospitalizations | Child Cases | Water Loss |
|-------|----------------|----------------|------------------------|-------------|------------|
| Bahia | 80.55% | 48.79% | 21,764 | 6,177 | 41.66% |
| Maranhão | 56.50% | 13.83% | **38,000** | 5,400 | **59.09%** |
| Piauí | 72.84% | 18.84% | 5,158 | 1,622 | 19.36% |
### Crisis Hotspots
1. **Maranhão's Dual Crisis**:
- Highest hospitalizations (38k)
- Worst water losses (59.09%)
- Lowest sewage treatment (13.83%)
2. **Sergipe's Child Emergency**:
- 35% of hospitalizations are children <10 yrs
- 91.62% water coverage ≠ 38.14% sewage treatment
---
## Methodology & Tools :gear:
### Workflow
```mermaid
graph LR
A[Raw Data] --> B[Databricks Cleaning]
B --> C[Pandas Analysis]
C --> D[Plotly Visualization]
D --> E[Policy Impact Modeling]
```
### Tools Stack :gear:
| Purpose | Tools |
|----------------------|------------------------------------|
| **Data Processing** | Python 3.9, Pandas, PySpark |
| **Visualization** | Plotly, Matplotlib, Seaborn |
| **Environment** | Databricks Community Edition, Jupyter |
## Developers :octocat:
| [
Gabrielly Gomes](https://www.linkedin.com/in/gabrielly-gomes-ml/) | [
Vinicius Calisto](https://www.linkedin.com/in/viniciuscalisto/) |
:---: | :---: |