-> Overview This project analyses and visualises population age demographics. It uses synthetic data (inspired by 2022 statistics) to explore how a population is distributed across different life stages and genders.

-> Key Features

• Data Generation: Creates age_distribution.csv containing 5-year age intervals and gender-calculated metrics.
• Comparative Visualisation: A grouped bar chart comparing Male vs. Female populations per age group.
• Demographic Segmentation: A color-coded histogram that segments the population into:
  • Youth (0'9620 years)
  • Working Age (21'9664 years)
  • Seniors (65+ years)
• Statistical Annotations: Highlights the median age and the specific population count for each functional group.

-> Requirements

• Python 3.x
• Pandas, NumPy, Matplotlib

-> Usage Run the script to generate the dataset and the analysis dashboard:

 python task01_bar_chart.py