Welcome to the Exploratory Data Analysis (EDA) of the Kiva Microfinance Dataset. In this project, we perform an in-depth analysis of Kiva's lending activities to gain insights into their mission and impact. Kiva is a non-profit organization that connects lenders with borrowers in underserved communities around the world, facilitating microloans to empower individuals and communities. This EDA aims to uncover patterns, trends, and meaningful information within the dataset.
- Dataset Source: [https://www.kaggle.com/datasets/fkosmowski/kivadhsv1]
- Dataset Description: The dataset contains information about loans, borrowers, lenders, and related details of Kiva's microfinance operations. It includes data such as loan amounts, loan sectors, borrower demographics, and more.
- Gender Disparity in the beneficiaries of the loans awarded.
- Spread of the loan amounts across livelihoods and countries.
Contributions to this project are welcome! If you find any issues or have suggestions for improvements, please feel free to open an issue or create a pull request. Also, please feel free to star this repository if you like it :)