Macroeconomics Data Visualization

Project Overview

This project aims to visualize macroeconomic data to provide insights into various economic indicators. The visualizations will help in understanding trends and patterns in the data, which can be useful for economic analysis and decision-making.

Features

• Interactive visualizations of key macroeconomic indicators
• Ability to filter data by different criteria
• User-friendly interface for exploring the data

Technologies Used

• Python: Core programming language used for data processing and backend development.
• Flask: Web framework used to create the web application.
• Pandas: Data manipulation and analysis library used for cleaning and preparing the macroeconomic data.
• Matplotlib: Visualization library used for creating static plots.
• Seaborn: High-level interface for drawing attractive statistical graphics.
• Plotly: Interactive graphing library used to create dynamic and interactive visualizations.
• HTML/CSS: Used to design the front-end of the web application.

Installation

1. Clone the repository:

   git clone https://github.com/chandanneralgi/Macroeconomics-Data-Visualization.git

2. Navigate to the project directory:

   cd Macroeconomics-Data-Visualization

Usage

1. Run the Flask application:

   python app.py

2. Open your web browser and go to http://127.0.0.1:5000 to access the application.

Project Structure

• app.py: Main application file
• templates/: Contains HTML templates

Data Sources

The data used in this project is sourced from various public datasets on macroeconomic indicators.