A data analysis and visualization project that explores population statistics across countries. The project uses Python for data processing and visualization to identify trends, distributions, and insights.
- Visualizations:
- Top 10 countries by population (Bar Chart).
- Population growth trends over time (Line Graph).
- Distribution of growth rates (Histogram).
- World population share by top 5 countries (Pie Chart).
- Data preprocessing and cleaning.
- Python and Pandas for analysis.
- Clone the repository:
git clone https://github.com/yourusername/Population-Analysis-Visualization.git cd Population-Analysis-Visualization - Install dependencies:
bash pip install -r requirements.txt
- Run the project:
Open main.py or the Jupyter Notebook (project.ipynb) to explore the analysis.
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Dataset: Source: World Bank Population Dataset Description: The dataset includes population statistics by country, growth rates, density, and historical data.
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Visualizations Here are some key visualizations generated by the project:
a. Top 10 Countries by Population in 2023
b. Population Growth Over Time: India
c. Distribution of Growth Rates
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Technologies Used: Python: Pandas Matplotlib Seaborn Jupyter Notebook (optional)
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Contact: For questions or suggestions, please contact:
Name: Mohammed Zaidaan Shiraz Email: [email protected] GitHub: zaidaanshiraz