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An in-depth exploration of global GDP trends using Python and data science techniques. This project involves data preprocessing, exploratory data analysis (EDA), statistical insights, and interactive visualizations to understand economic patterns and correlations.

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📊 GDP Analysis

📌 Overview

This repository contains an in-depth analysis of Gross Domestic Product (GDP) trends using data science techniques. The project explores GDP growth patterns, economic indicators, and their impact on global and regional economies.

🛠 Technologies Used

  • Python 🐍
  • Pandas 📊
  • NumPy 🔢
  • Plotly 📉
  • Jupyter Notebook 📒

📈 Key Features

  • Data preprocessing and cleaning
  • Exploratory Data Analysis (EDA)
  • Statistical insights and visualizations
  • Correlation analysis between GDP and economic indicators
  • Predictive modelling using regression techniques

📊 Visualizations

Here are some insights visualized from the dataset:

Sample GDP Visualization

🔗 Click here to view the interactive visualization.

🚀 Getting Started

1️⃣ Clone the Repository

git clone https://github.com/Magnus0969/GDP-Analysis.git
cd GDP-Analysis

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Run Jupyter Notebook

jupyter notebook

📬 Contact

For any questions or collaborations, feel free to reach out on LinkedIn.


Made with ❤️ by Karthik B Magadi

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An in-depth exploration of global GDP trends using Python and data science techniques. This project involves data preprocessing, exploratory data analysis (EDA), statistical insights, and interactive visualizations to understand economic patterns and correlations.

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