CM2015 Programming With Data - Assignment Project

Welcome to the CM2015 Programming With Data Assignment Project! This repository contains analyses and insights based on datasets about global statistics, focusing on countries, continents, GDP, demographics, and happiness.

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📋 Project Description

This project explores and analyses data to uncover patterns and trends in:

• Country and continent relationships.
• Global GDP figures.
• Elderly population percentages.
• Fertility rates (births per woman).
• World Happiness Index rankings.

The results are presented using Python, data visualisation techniques, and statistical methods.

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📂 Repository Contents

• Kaibo_PwD_assignment.ipynb: Main Jupyter Notebook containing code and analyses.
• Datasets:
  • countries_data.csv - Data on countries and continents.
  • GDP.csv - GDP figures (current US$).
  • elderly_pop.csv - Percentage of population aged 65 and above.
  • birth_rate.csv - Fertility rate (births per woman).
  • happiness_index.csv - World Happiness Index data.
• Visuals:
  • logo.jpg - Project logo.
  • world_shape.jpg - World map for reference.
• Other Files:
  • requirements.txt - Dependencies required for running the project.
  • pwd_data.txt - Additional notes.

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📊 Datasets and Copyright Information

1. Countries by Continents (Dataset 1)

• Source: Statistics Times
• Copyright: Terms and conditions as of 23 Dec 2023.

2. GDP Data (Dataset 2)

• Source: The World Bank
• Copyright: Retrieved on 23 Dec 2023.

3. Elderly Data (Dataset 3)

• Source: The World Bank
• Copyright: Retrieved on 23 Dec 2023.

4. Birth Rate (Dataset 4)

• Source: The World Bank
• Copyright: Retrieved on 23 Dec 2023.

5. World Happiness Index (Dataset 5)

• Source: Kaggle
• Copyright: Retrieved on 23 Dec 2023.

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⚙️ How to Use

1. Clone the repository:

   git clone https://github.com/Arcslash34/CM2015-Programming-With-Data.git