Population Age Distribution Dataset

Overview

The dataset includes a histogram visualising age distribution within a population. The histogram displays the number of individuals in different age intervals, facilitating insight into demographic trends.

Histogram Overview

• X‑axis: Age range (e.g., 0‑10, 11‑20, etc.)
• Y‑axis: Count of individuals per age range
• Title: "Age Distribution in the Population"

Usage Guide

To view the histogram, follow these steps:

1. Clone the repository:

   git clone https://github.com/yourusername/age-distribution-visualization.git
   

2. Enter the project directory:

   cd age-distribution-visualization
   

3. Install dependencies:

   pip install matplotlib pandas
   

4. Run the script:

   python plot_age_distribution.py
   

5. View the histogram: The histogram will be saved as age_distribution_histogram.png in the project folder.

Sample Output

Histogram Generation Script

import pandas as pd
import matplotlib.pyplot as plt

# Load dataset
data = pd.read_csv('data/age_data.csv')

# Create histogram
plt.figure(figsize=(10, 6))
plt.hist(data['Age'], bins=range(0, 101, 10), edgecolor='black', alpha=0.7)

# Add title and labels
plt.title('Age Distribution in the Population')
plt.xlabel('Age')
plt.ylabel('Number of Individuals')

# Save figure
plt.savefig('age_distribution_histogram.png')

# Show figure
plt.show()