# Sub-Saharan Africa Adolescent Fertility Rate Visualization
## Overview
This project aims to visualize and analyze the adolescent fertility rate in Sub-Saharan Africa for the year 2015. The visualization provides insights into the distribution of fertility rates among countries in the Sub-Saharan African region, shedding light on the challenges and variations in adolescent reproductive health.
## Data
The data used in this project is sourced from [World Bank]. It includes information about adolescent fertility rates, categorized by country, and year. The dataset i transformed is cleaned and processed to focus specifically on Sub-Saharan African countries for the year 2015.
## Visualization
The main visualization is an interactive choropleth map that showcases the adolescent fertility rates across Sub-Saharan Africa. Each country is color-coded based on its fertility rate, allowing users to easily identify regions with higher or lower rates. Additionally, hovering over a country provides detailed information, including the specific fertility rate value.
![Adolescent Fertility Rate Map] from Makeover Monday (path_to_image)
## Key Features
- **Color Gradient:** The color gradient on the map reflects the range of fertility rates, with darker shades indicating higher rates.
- **Hover Information:** Hovering over a country reveals detailed information, including the country name and its adolescent fertility rate.
- **Insights:** The visualization helps identify patterns, outliers, and trends in adolescent fertility rates across Sub-Saharan Africa.
## Usage
To explore the visualization:
1. Open the provided Jupyter notebook (`Meyssem_Data_Visualization_.ipynb`) in a Jupyter environment.
2. Run the cells to generate the choropleth map.
3. Interact with the map to gain insights into adolescent fertility rates in Sub-Saharan Africa.
## Dependencies
- [List any external libraries or tools used, e.g., Plotly, pandas]