ELECTORAL-BOND-ANALYSIS-USING-PYTHON

Overview

Electoral bonds are a financial instrument introduced in India in 2018, designed to enable anonymous donations to political parties. This project aims to analyze the data related to electoral bonds to understand their impact on political funding, transparency, and electoral processes in India.

Objectives

• Understand the Distribution: Analyze the distribution of electoral bonds by denomination, geographical regions, and time periods.
• Identify Trends: Identify trends and patterns in the issuance and redemption of electoral bonds.
• Impact Analysis: Evaluate the impact of electoral bonds on political party funding and the overall electoral process.
• Transparency Assessment: Assess the transparency and accountability of the electoral bond scheme.

Data Sources

The data used in this project will be sourced from publicly available datasets, including:

• The Election Commission of India
• The Reserve Bank of India
• Financial reports of political parties
• Other relevant sources such as news articles and government publications

Methodology

The project will follow these steps:

1. Data Collection: Gather data from various sources and consolidate it into a structured format.
2. Data Cleaning: Clean the data to remove inconsistencies and ensure it is ready for analysis.
3. Exploratory Data Analysis (EDA): Perform EDA to understand the basic characteristics of the data and identify initial patterns.
4. Data Visualization: Use data visualization techniques to present findings in an accessible and insightful manner.
5. Statistical Analysis: Apply statistical methods to analyze trends and assess the impact of electoral bonds.
6. Reporting: Compile the results into a comprehensive report that includes visualizations and interpretations of the findings.

Project Structure

• data/: Contains the dataset files used for the analysis.
• scripts/: Python scripts for data cleaning, processing, and analysis.
• notebooks/: Jupyter notebooks with exploratory data analysis and visualizations.
• reports/: Generated reports and visualizations.
• README.md: Project overview and instructions.
• requirements.txt: List of Python packages required to run the project.

Getting Started

Prerequisites

Make sure you have Python 3.x and pip installed on your system.

Installation

1. Clone the repository:

   git clone https://github.com/Vikhram-S/ELECTORAL-BOND-ANALYSIS-USING-PYTHON.git
   cd ELECTORAL-BOND-ANALYSIS-USING-PYTHON