Luchiri/Kenya-Population-Data-Analysis

This project analyzes Kenya's population and socio-economic indicators over time using data from the World Bank. It provides insights into demographic trends and economic indicators through visualizations and tabular summaries. # Kenya Population Data Analysis This project analyzes Kenya's population and socio-economic indicators over time using data from the World Bank. It provides insights into demographic trends and economic indicators through visualizations and tabular summaries. ## Project Overview The dataset contains information on various indicators such as: - Total population - Urban population percentage - Age distribution (by gender and age groups) - Merchandise exports and imports - Population dependency ratios The project focuses on: 1. Cleaning and reshaping the dataset. 2. Extracting population-specific data. 3. Visualizing trends over time with charts. 4. Presenting tabular summaries for clear understanding. ## Technologies Used - Python 3 - Jupyter Notebook - Pandas - Matplotlib - Seaborn (optional, for advanced visualizations) ## Key Features - **Data Cleaning:** Dropped empty columns and reorganized the dataset for easier analysis. - **Population Trends:** Line plots showing Kenya’s population growth over time. - **Demographic Insights:** Age group distributions and urban population percentage. - **Economic Indicators:** Basic summaries of merchandise exports and imports. ## How to Run 1. Clone the repository: ```bash git clone ``` 2. Open the `Kenya_population_analysis.ipynb` notebook in Jupyter Notebook. 3. Run the notebook cell by cell to see the tables, charts, and analysis. ## Sample Visuals - Population over time line chart - Age distribution tables and plots - Merchandise trade trends ## Dataset The data used in this project is sourced from World Bank Kenya Population Indicators. ## Future Enhancements - Interactive dashboards using Plotly or Dash. - Additional analyses for other socio-economic indicators. - Comparative analysis with other East African countries. ---