ChaCiao/wb-africa-energy-dashboard
Domain:
environment and energyRecord type:
software
Creator:
Cha
Host:
# WB Africa Energy Dashboard
Interactive energy analytics dashboard for 13 Sub-Saharan African countries (2015–2024).
Built with Python Dash + Plotly. Currently runs on **mock data only** — not for citation.
## Live Demo
> Deploy to Render or Railway using the configuration files in this repo.
## Features
| Module | Description |
|---|---|
| **Access** | Electrification rates, urban/rural gap, country heatmap, access gap ranking |
| **Economics** | Residential & commercial tariffs, cost-recovery, implicit subsidy |
| **Transition** | Renewable share trend, solar/hydro capacity, CO₂ intensity |
| **Institutions** | Sector reform scores, regulator presence, utility structure |
| **Focus Country** | Per-country deep-dive with KPI rankings and multi-year charts |
| **Analytics** | Correlation scatter, country rankings table, trend alerts |
| **Animation** | ▶ Play button auto-advances the year slider |
## Countries Covered
13 SSA countries across three power pools:
- **SAPP** (Southern): Lesotho, Namibia, Botswana, Zambia, Zimbabwe, Mozambique, Malawi
- **EAPP** (Eastern): Ethiopia, Kenya, Tanzania, Uganda
- **CAPP** (Central): DRC, Cameroon
## Tech Stack
- Python 3.11
- Dash 4.x + dash-bootstrap-components 2.x
- Plotly 6.x
- pandas 3.x
- gunicorn (production server)
## Local Setup
```bash
git clone github.com
cd wb-africa-energy-dashboard
python -m venv .venv
.venv\Scripts\activate # Windows
# source .venv/bin/activate # macOS / Linux
pip install -r requirements.txt
python app.py
```
Open localhost
## Deploy to Render
1. Fork or push this repo to GitHub.
2. Go to render.com → **New Web Service** → connect the repo.
3. Render auto-detects `render.yaml` — no manual config needed.
4. First deploy takes ~2 min; mock CSVs are generated on startup.
## Deploy to Railway
1. Install the Railway CLI or use the web UI.
2. Connect the repo; Railway detects the `Procfile` automatically.
3. Set en …