Population Distribution Visualization

Overview:

This project visualizes the distribution of population across different age groups over multiple years using bar charts and line plots. The dataset used for visualization is "population_distribution.csv".

Google Colab Notebook:

The code for generating the visualizations is available in the Google Colab notebook: Prodigy__DataScience_Task1.ipynb.

Dataset:

The dataset contains the following columns:

• Year: The year for which the population distribution is recorded.
• 0-14 years: Percentage of population aged 0-14 years.
• 15-64 years: Percentage of population aged 15-64 years.
• 65 years +: Percentage of population aged 65 years and above.

Dependencies:

The following dependencies are required to execute the code:

• Python 3.x
• Pandas
• Matplotlib

Visualizations:

Bar Chart:

A bar chart is created for each age group, showing the percentage of population over the years.

Line Plot:

A line plot is created for each age group, illustrating the change in population percentage over the years.

Usage:

To reproduce the visualizations:

1. Download the dataset "population_distribution.csv".
2. Open the Google Colab notebook "Prodigy__DataScience_Task1.ipynb".
3. Upload the dataset to your Google Colab environment.
4. Run the code cells in the notebook to generate the visualizations.

Contributing:

Contributions are welcome! Fork the repository, make your changes, and submit a pull request. For major changes, please open an issue first to discuss the modifications.

License:

This project is licensed under the MIT License.