Data Analysis Project on Electoral Bond in Python Colab

Description:

1. Data Overview:

• Source: Data provided by SBI Bank to the Election Commission of India.

• Time Period: April 2019 to January 2024.

• Datasets:

  • Purchase Data: Includes details of who purchased bonds and when.

  • Redemption Data: Includes details of who redeemed bonds and when.

2. Key Findings:

1. Purchase vs. Redemption Timeline:

   • No instance of a redemption occurring more than 15 days after the purchase date.

2. Data Merging and Validation:

   • Columns "Prefix" and "Bond Number" were merged to create a unique identifier for both datasets.

   • After merging:

     1. 1,680 entries in the Purchase Data did not match with Redemption Data.

     2. 130 entries in the Redemption Data did not match with Purchase Data.

   • Data types were standardized, and naming inconsistencies were cleaned.

3. Top Purchasers (2019–2024):

   • Top 5 Entities:

     1. Future Gaming and Hotel Services

     2. Megha Engineering and Infrastructure

     3. Qwik Supply Chain Private Limited

     4. Haldi Energy

     5. Vedanta Limited

4. Denomination Insights:

   • Bonds of ?1 crore denomination dominate across all donations.

5. Time-Based Trends:

   • Peak Purchase Months: January, April, and October.

   • Peak Years for Purchases: 2022 and 2023.

6. Redemption Patterns:

   • Majority of bonds were redeemed within 5 days of purchase.

7. Political Party Encashments:

   • Top Political Parties by Encashment:

     1. BJP (Bharatiya Janata Party)

     2. Trinamool Congress

     3. Indian National Congress

8. Data Exploration:

   • New columns were added for day names, months, and years for analysis.

   • Crosstab analysis was used to evaluate purchase trends vs. political party denomination sum amounts.