GithubHelp home page GithubHelp logo

linkanmajumder / exploratory-data-analysis-on-electoral-bonds-in-india Goto Github PK

View Code? Open in Web Editor NEW
0.0 1.0 0.0 6.46 MB

An analysis of Electoral Bonds in India from FY 2019 to FY 2024, revealing patterns and trends in political funding dynamics.

License: Apache License 2.0

Jupyter Notebook 100.00%

exploratory-data-analysis-on-electoral-bonds-in-india's Introduction

Exploratory Data Analysis on Electoral Bonds in India

This dataset provides details on transactions involving electoral bonds, a mechanism for anonymous political donations in India, handled by the State Bank of India (SBI). Information includes buyer identities, donation types (individual or firm), and encashment details by political parties.

Data Exploration

Jupyter Notebook was used to analyze the data, revealing trends in funding patterns, donor profiles, and transparency in Indian political financing.

Data Columns

  • Buyer: Entity purchasing the electoral bonds.
  • Donor Type: Classification (individual or firm) assigned to the buyer.
  • Encashment Date: Date the electoral bonds were redeemed by a political party.
  • Political Party: Recipient of the donation.
  • Bond Amount: Face value of the electoral bonds.

Analysis of Bond Buyers output1

  • Unique Buyers: 1314 individuals and firms participated in bond purchases.
  • Donor Breakdown: Firms dominated purchases (938), followed by individuals (365).
  • Average Purchase Amounts: Firms bought the most on average (₹123,321,425).
  • Top Buyers:
    • Firm - FUTURE GAMING AND HOTEL SERVICES PRIVATE LIMITED (₹13,680,000,000)
    • Individual - LAKSHMI NIWAS MITTAL (₹350,000,000)
    • 'AGARWAL' Entities - Total purchases of ₹179,082,000

Analysis of Encashment Data output

  • Unique Political Parties: The dataset covers transactions involving 27 political parties.
  • Top Recipient: BHARATIYA JANATA PARTY received the most donations (₹60,605,110,000).
  • Highest Encashment Day: May 10, 2019 (total ₹4,116,500,000).
  • Party on Peak Encashment Day: BHARATIYA JANATA PARTY (₹3,961,500,000)

Conclusion

These findings highlight the significant financial activity facilitated by electoral bonds, demonstrating the influence of both buyers and political parties in India's electoral funding system.

The dataset has been sourced from 'https://www.kaggle.com/datasets/newtonbaba12345/electoral-bonds-dataset'.

exploratory-data-analysis-on-electoral-bonds-in-india's People

Contributors

linkanmajumder avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.