KivaExplore

CONTEXT: This was my semester project for an undergraduate data visualization class.

REASONING: Kiva is a non-profit that allows small lenders in developed countries to lend directly to entrepreneurs in developing countries.

New Kiva users may face choice overload when attempting to find a suitable entrepreneur. KivaExplore aims to help users narrow down their list of potential entrepreneurs.

CONTRIBUTING: I plan to deploy this app to Heroku and will provide contribution instructions upon deployment.

INSTRUCTIONS:

To run this app locally, clone the repository first. Activate a virtual environment, then use pip to install the requirements. Then, in the project-level directory, type:

python app.py

This should get the app going. Please note that some errors may occur because I haven't added images/wordclouds for some of the countries. As of now, the only countries with images and wordclouds are Afghanistan, Armenia, Albania, Mali, and Yemen.

Data is sourced from Kiva and is not owned by me.

Feel free to message me if you have any questions!